Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit.
Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.
Filter by model type, or omit to include all types. Supports text/image/video/music/embedding, ignoring case and surrounding whitespace. Separate multiple types with commas or repeat type to combine them with OR. Unknown or empty values return 400.
Minimum string length: 1
Examples:
"text"
"image"
"video"
"music"
"embedding"
"image,video"
Response
The currently callable model catalog. Example capability values illustrate the response structure; use the values returned by the API.
HTTP 200 response for GET /v1beta/models. Includes the same model catalog as the OpenAI list, with Gemini pagination. Use capabilities.endpoints to identify callable APIs.
models/ followed by the full platform model ID, for example models/google/gemini-3.8-flash. The provider namespace is preserved to distinguish models with the same name.
Gemini methods supported by this model. Returns an empty array when Gemini protocol capabilities are unavailable. Use capabilities.endpoints to choose an API for models in the full catalog.
common lists parameters shared by all callable endpoints. Each endpoint path lists only its additional parameters. Combine common with the endpoint array for its complete parameter set. For a model with one endpoint, all parameters may be in common.
Included when another page is available. Pass it as pageToken in the next request. Omitted on the last page rather than returned as null.
Minimum string length: 1
{"docsConfig":{"theme":"mint","$schema":"https://mintlify.com/docs.json","name":"Tikway","colors":{"primary":"#3d3b3a","light":"#ffffff","dark":"#000000"},"logo":{"light":"https://mintcdn.com/tikway/jbQHUstQv4m6VXpl/logo/light.png?fit=max\u0026auto=format\u0026n=jbQHUstQv4m6VXpl\u0026q=85\u0026s=2ffadc60838b347e4b303c5324329d71","dark":"https://mintcdn.com/tikway/jbQHUstQv4m6VXpl/logo/dark.png?fit=max\u0026auto=format\u0026n=jbQHUstQv4m6VXpl\u0026q=85\u0026s=70d626d8a1b2db6e9cfc2f93182f2acb"},"favicon":"https://mintcdn.com/tikway/jbQHUstQv4m6VXpl/favicon.png?fit=max\u0026auto=format\u0026n=jbQHUstQv4m6VXpl\u0026q=85\u0026s=e55efc78d7a9b37ff27557ac7556fe6e","api":{"params":{"expanded":"all"},"url":"full","mdx":{"auth":{"method":"bearer","name":"Authorization"},"server":"https://api.tikway.ai"}},"navbar":{"links":[],"primary":{"type":"button","label":"Dashboard","href":"https://app.mintlify.com"}},"contextual":{"options":["copy","view","chatgpt","claude","perplexity","mcp","cursor","vscode"],"display":"header"},"markdown":{"schema":false},"styling":{"latex":false},"navigation":{"global":{"anchors":[{"anchor":"Home","icon":"house","href":"https://tikway.ai"}]},"languages":[{"language":"zh","href":"zh/introduction"},{"language":"en","href":"en/introduction"}]}},"deployment":{"deploymentMetadataValue":{"subdomain":"tikway","hasAudioNarration":false,"actualSubdomain":"tikway","customDomains":["docs.tikway.ai"],"gitSource":{"type":"github","owner":"tokgos","repo":"docs","deployBranch":"main","contentDirectory":"","isPrivate":false,"mountPath":"","label":""},"chroma":{"latestBuiltDeploymentHistoryId":"6adc5bcc50fd02f25b78f1da","collectionId":"18ba77e3-afe9-43cc-8e60-e7b6de9c99b7","liveDeploymentHistoryId":"6adc5bcc50fd02f25b78f1da","schemaVersion":"v3"},"entitlements":{"AI_CHAT":{"status":"DISABLED"}},"buildId":"6adc5bcc50fd02f25b78f1da","clientVersion":"0.0.3964","searchFilterCounts":[{"language":"zh","tag":"API Reference","count":53},{"language":"en","tag":"API Reference","count":46},{"language":"zh","tag":"视频生成","count":15},{"language":"en","tag":"Video generation","count":14},{"language":"zh","tag":"图片生成","count":12},{"language":"en","tag":"Chat completions","count":11},{"language":"zh","tag":"对话补全","count":11},{"language":"en","tag":"Image generation","count":10},{"language":"en","tag":"Guides","count":8},{"language":"zh","tag":"指南","count":8},{"language":"en","tag":"Gemini protocol","count":6},{"language":"zh","tag":"Gemini 协议","count":6},{"language":"en","tag":"Speech synthesis","count":5},{"language":"zh","tag":"Midjourney","count":5},{"language":"zh","tag":"语音合成","count":5},{"language":"en","tag":"Developer guides","count":3},{"language":"en","tag":"Request protocols","count":3},{"language":"en","tag":"OpenAI protocol","count":3},{"language":"zh","tag":"开发指南","count":3},{"language":"zh","tag":"请求协议","count":3}],"searchSettings":{"showContentSnippets":true}},"assistantConfig":{"enableAskAiButton":false,"enableStarterQuestions":false,"enableContextualStarterQuestions":false,"enableAskAiSearchBar":true},"hasChatPermissions":false,"hasWebMcpPermissions":false,"toggles":[{"name":"kill-isr","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"agent-mintlify-slack","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-v7-file-tree","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"agent-integrations-settings","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"automations-pr-grouping","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"custom-prefix","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"analytics-v7","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"user-flows-analytics","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"no-publish-flow","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workos-onboarding","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"llms-txt-v2","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"pause-universal-search-reconcile","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"snapshot-serving-live","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"stripTemperatureMiddleware","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"per-site-search-delta","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"support-platform-pylon-zendesk","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"snapshot-serving","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"instant-rollback","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"granular-notifications-server","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"granular-notifications","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-private-page-search","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"automations-fable","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"fixed-ai-action-pricing","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"automation-resolve-merge-conflict","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"scoped-publishing","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"mintql","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"page-level-analytics","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-version-history-v2","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-nav-generations","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"billing-page-v2","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workspace-projects","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"assistant-v5","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"byok-sep-25","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"fork-pr-previews","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"revalidation-jwt","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"vite-origin","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-agent-model-picker","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"billing-updated-9-15","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"hobby-abuse-scan","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"dashboard-inbox","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false}],"privacy":{"consentBanner":{"enabled":false}},"isAtlas":false,"googleFontsInlined":false},"customCss":[{"filePath":"style.css","content":"@media (min-width:1280px){html[data-current-path*=\"/api-reference/\"] div:has(>#sidebar):has(>#content-container){width:80%!important;max-width:none!important;margin-inline:auto!important;padding-inline:0!important;gap:2rem!important}html[data-current-path*=\"/api-reference/\"] #content-container{flex:1 1 0!important;width:auto!important;max-width:none!important;min-width:0!important}html[data-current-path*=\"/api-reference/\"] #content-container>div:has(>#content-area){gap:2rem!important}html[data-current-path*=\"/api-reference/\"] #content-area{flex:1 1 0!important;width:auto!important;max-width:none!important;min-width:0!important;margin-inline:0!important;padding-inline:0!important}html[data-current-path*=\"/api-reference/\"] #content-side-layout{flex:0 0 22rem!important;width:22rem!important;max-width:22rem!important}html[data-current-path*=\"/api-reference/\"] #content-side-layout>div{width:100%!important;min-width:0!important;max-width:100%!important}}@media (max-width:767px){html:is([data-current-path$=\"/api-reference/images/overview\"], [data-current-path$=\"/api-reference/videos/overview\"]) #content table{min-width:34rem}}"}],"page":{"pagePath":"en/api-reference/chat/gemini/list-models","slug":"/en/api-reference/chat/gemini/list-models","pageMetadata":{"title":"Get Models","description":"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit.\n\nEach model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.","deprecated":false,"version":null,"sidebarTitle":"Get Models","openapi":"/openapi/en/chat/gemini-models.json get /v1beta/models","href":"/en/api-reference/chat/gemini/list-models","autogeneratedByOpenApi":true},"description":{"compiledSource":"\"use strict\";\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n p: \"p\",\n ..._provideComponents(),\n ...props.components\n };\n return _jsxs(_Fragment, {\n children: [_jsx(_components.p, {\n children: \"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.\"\n })]\n });\n}\nfunction MDXContent(props = {}) {\n const {wrapper: MDXLayout} = {\n ..._provideComponents(),\n ...props.components\n };\n return MDXLayout ? _jsx(MDXLayout, {\n ...props,\n children: _jsx(_createMdxContent, {\n ...props\n })\n }) : _createMdxContent(props);\n}\nreturn {\n default: MDXContent\n};\n","frontmatter":{},"scope":{}},"pageType":"default","mdx":{"mdxSource":{"compiledSource":"\"use strict\";const{Fragment:_Fragment,jsx:_jsx}=arguments[0];const{useMDXComponents:_provideComponents}=arguments[0];function _createMdxContent(props){return _jsx(_Fragment,{})}function MDXContent(props={}){const{wrapper:MDXLayout}={..._provideComponents(),...props.components};return MDXLayout?_jsx(MDXLayout,{...props,children:_jsx(_createMdxContent,{...props})}):_createMdxContent(props)}return{default:MDXContent}","frontmatter":{},"scope":{"config":{},"pageMetadata":{"title":"Get Models","description":"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit.\n\nEach model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.","deprecated":false,"version":null,"sidebarTitle":"Get Models","openapi":"/openapi/en/chat/gemini-models.json get /v1beta/models","href":"/en/api-reference/chat/gemini/list-models","autogeneratedByOpenApi":true}}},"mdxSourceWithNoJs":null},"mdxExtracts":{"tableOfContents":[],"codeExamples":{}},"jsLinks":[],"openApiReferenceData":{"operation":{"summary":"Get Models","deprecated":false,"description":"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit.\n\nEach model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.","operationId":"getModels","tags":["Chat completions/Gemini protocol"],"parameters":["16d5d805-6eab-4ca9-b04a-7e5f34e28288","08c5a81b-b0b9-4276-9bdb-40b52e6f83fd"],"responses":{"200":"07f086d2-bd7b-4fc3-840b-6874ea8405a5","400":"50d3d8f7-472f-4eed-b702-2895283f12d0"},"security":["2ca18e33-2b85-4cd2-be9b-1b1b8bfad172"],"x-mint":{"href":"/en/api-reference/chat/gemini/list-models","metadata":{"sidebarTitle":"Get Models"}},"method":"get","type":"path","servers":[],"path":"/v1beta/models","baseUrlOptions":["https://api.tikway.ai"],"title":"Get Models","codeSamples":[],"requiredOnlyExamples":false,"requestExampleType":"generated","responseExampleType":"generated","urlDisplay":"full"},"dependencies":{"parameters":{"16d5d805-6eab-4ca9-b04a-7e5f34e28288":{"name":"type","in":"query","description":"Filter by model type, or omit to include all types. Supports text/image/video/music/embedding, ignoring case and surrounding whitespace. Separate multiple types with commas or repeat type to combine them with OR. Unknown or empty values return 400.","required":false,"example":"image,video","schema":{"type":"string","minLength":1,"examples":["text","image","video","music","embedding","image,video"],"isRequired":false,"description":"Filter by model type, or omit to include all types. Supports text/image/video/music/embedding, ignoring case and surrounding whitespace. Separate multiple types with commas or repeat type to combine them with OR. Unknown or empty values return 400.","uniqueKey":"","typeLabel":"string"}},"08c5a81b-b0b9-4276-9bdb-40b52e6f83fd":{"name":"x-provider-route","in":"header","description":"Upstream routing preference: cost, stable, or fast.","example":"cost","schema":{"type":"string","default":"cost","description":"Upstream routing preference: cost, stable, or fast.","uniqueKey":"","typeLabel":"string"}}},"responses":{"07f086d2-bd7b-4fc3-840b-6874ea8405a5":{"description":"The currently callable model catalog. Example capability values illustrate the response structure; use the values returned by the API.","content":{"application/json":{"schema":{"title":"GeminiModelsResponse","description":"HTTP 200 response for GET /v1beta/models. Includes the same model catalog as the OpenAI list, with Gemini pagination. Use capabilities.endpoints to identify callable APIs.","type":"object","required":["models"],"properties":{"models":{"type":"array","items":{"type":"object","required":["name","baseModelId","version","displayName","description","inputTokenLimit","contextLength","supportedParameters","supportedGenerationMethods","thinking","aliases","architecture","capabilities"],"properties":{"name":{"type":"string","pattern":"^models/.+","description":"models/ followed by the full platform model ID, for example models/google/gemini-3.8-flash. The provider namespace is preserved to distinguish models with the same name.","minLength":8,"isRequired":true,"uniqueKey":"models.items.[INDEX].name","typeLabel":"string"},"baseModelId":{"type":"string","description":"Base model ID without the provider namespace.","isRequired":true,"uniqueKey":"models.items.[INDEX].baseModelId","typeLabel":"string"},"version":{"type":"string","description":"Version string derived from the model ID, or unknown when it cannot be determined.","isRequired":true,"uniqueKey":"models.items.[INDEX].version","typeLabel":"string"},"displayName":{"type":"string","isRequired":true,"uniqueKey":"models.items.[INDEX].displayName","typeLabel":"string"},"description":{"type":"string","isRequired":true,"uniqueKey":"models.items.[INDEX].description","typeLabel":"string"},"inputTokenLimit":{"oneOf":[{"type":"integer","minimum":0,"description":"Input token limit, or null when not configured.","isRequired":true,"uniqueKey":"models.items.[INDEX].inputTokenLimit.oneOf.0","typeLabel":"integer"},{"type":"null","minimum":0,"description":"Input token limit, or null when not configured.","isRequired":true,"uniqueKey":"models.items.[INDEX].inputTokenLimit.oneOf.1","typeLabel":"null"}],"isRequired":true,"uniqueKey":"models.items.[INDEX].inputTokenLimit","typeLabel":"integer | null"},"contextLength":{"oneOf":[{"type":"integer","minimum":0,"description":"Context token limit. Currently matches inputTokenLimit.","isRequired":true,"uniqueKey":"models.items.[INDEX].contextLength.oneOf.0","typeLabel":"integer"},{"type":"null","minimum":0,"description":"Context token limit. Currently matches inputTokenLimit.","isRequired":true,"uniqueKey":"models.items.[INDEX].contextLength.oneOf.1","typeLabel":"null"}],"isRequired":true,"uniqueKey":"models.items.[INDEX].contextLength","typeLabel":"integer | null"},"supportedParameters":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].supportedParameters.items.[INDEX]","typeLabel":"string"},"description":"Native Gemini parameter names. Returns an empty array when no Gemini parameter configuration is available.","isRequired":true,"uniqueKey":"models.items.[INDEX].supportedParameters","typeLabel":"string[]"},"supportedGenerationMethods":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].supportedGenerationMethods.items.[INDEX]","typeLabel":"string"},"description":"Gemini methods supported by this model. Returns an empty array when Gemini protocol capabilities are unavailable. Use capabilities.endpoints to choose an API for models in the full catalog.","isRequired":true,"uniqueKey":"models.items.[INDEX].supportedGenerationMethods","typeLabel":"string[]"},"thinking":{"type":"boolean","description":"Whether a Gemini thinkingConfig parameter configuration is available.","isRequired":true,"uniqueKey":"models.items.[INDEX].thinking","typeLabel":"boolean"},"aliases":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].aliases.items.[INDEX]","typeLabel":"string"},"description":"Available model aliases from platform configuration. Returns an empty array when none are configured.","isRequired":true,"uniqueKey":"models.items.[INDEX].aliases","typeLabel":"string[]"},"architecture":{"type":"object","required":["input_modalities","output_modalities"],"properties":{"input_modalities":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].architecture.input_modalities.items.[INDEX]","typeLabel":"string"},"isRequired":true,"uniqueKey":"models.items.[INDEX].architecture.input_modalities","typeLabel":"string[]"},"output_modalities":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].architecture.output_modalities.items.[INDEX]","typeLabel":"string"},"isRequired":true,"uniqueKey":"models.items.[INDEX].architecture.output_modalities","typeLabel":"string[]"}},"description":"Input and output modalities derived from platform configuration and the endpoints available for this model.","additionalProperties":false,"isRequired":true,"uniqueKey":"models.items.[INDEX].architecture","typeLabel":"object"},"capabilities":{"type":"object","required":["reasoning_efforts","endpoints","parameters"],"properties":{"reasoning_efforts":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].capabilities.reasoning_efforts.items.[INDEX]","typeLabel":"string"},"description":"Reasoning effort levels collected from the endpoint parameter configuration. Returns an empty array when no configurable levels are available.","isRequired":true,"uniqueKey":"models.items.[INDEX].capabilities.reasoning_efforts","typeLabel":"string[]"},"endpoints":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].capabilities.endpoints.items.[INDEX]","typeLabel":"string"},"minItems":1,"description":"Currently callable API paths for this model, from platform routing configuration.","isRequired":true,"uniqueKey":"models.items.[INDEX].capabilities.endpoints","typeLabel":"string[]"},"parameters":{"type":"object","required":["common"],"properties":{"common":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].capabilities.parameters.common.items.[INDEX]","typeLabel":"string"},"isRequired":true,"uniqueKey":"models.items.[INDEX].capabilities.parameters.common","typeLabel":"string[]"}},"additionalProperties":{"type":"array","items":{"type":"string","uniqueKey":"models.items.[INDEX].capabilities.parameters.additionalProperties.items.[INDEX]","typeLabel":"string"},"uniqueKey":"models.items.[INDEX].capabilities.parameters.additionalProperties","typeLabel":"string[]"},"description":"common lists parameters shared by all callable endpoints. Each endpoint path lists only its additional parameters. Combine common with the endpoint array for its complete parameter set. For a model with one endpoint, all parameters may be in common.","examples":[{"/v1/videos":[],"common":["seed","model","prompt","duration","extra_body","resolution","aspect_ratio","callback_url","frame_images","input_references"]}],"isRequired":true,"uniqueKey":"models.items.[INDEX].capabilities.parameters","typeLabel":"object"}},"description":"Endpoints, parameters, and reasoning effort levels defined by the platform. These fields match the metadata returned in the other protocol formats.","additionalProperties":false,"isRequired":true,"uniqueKey":"models.items.[INDEX].capabilities","typeLabel":"object"},"outputTokenLimit":{"type":"integer","minimum":0,"description":"Output token limit. Included when configured or derivable from parameter definitions; otherwise omitted.","uniqueKey":"models.items.[INDEX].outputTokenLimit","typeLabel":"integer"},"temperature":{"type":"number","description":"Configured default temperature. Omitted when not configured or unavailable.","uniqueKey":"models.items.[INDEX].temperature","typeLabel":"number"},"maxTemperature":{"type":"number","description":"Configured maximum temperature. Omitted when not configured or unavailable.","uniqueKey":"models.items.[INDEX].maxTemperature","typeLabel":"number"},"topP":{"type":"number","description":"Configured default topP. Omitted when not configured or unavailable.","uniqueKey":"models.items.[INDEX].topP","typeLabel":"number"},"topK":{"type":"integer","minimum":0,"description":"Configured default topK. Omitted when not configured or unavailable.","uniqueKey":"models.items.[INDEX].topK","typeLabel":"integer"}},"additionalProperties":true,"uniqueKey":"models.items.[INDEX]","typeLabel":"object"},"isRequired":true,"uniqueKey":"models","typeLabel":"object[]"},"nextPageToken":{"type":"string","minLength":1,"description":"Included when another page is available. Pass it as pageToken in the next request. Omitted on the last page rather than returned as null.","uniqueKey":"nextPageToken","typeLabel":"string"}},"additionalProperties":false,"examples":[{"models":[{"name":"models/happyhorse-1.0","baseModelId":"happyhorse-1.0","version":"1.0","displayName":"HappyHorse 1.0","description":"HappyHorse 1.0","inputTokenLimit":null,"contextLength":null,"supportedParameters":[],"supportedGenerationMethods":[],"thinking":false,"aliases":["happyhorse-1.0","happyhorse-1.0-20260624"],"architecture":{"input_modalities":["text","image","video"],"output_modalities":["video"]},"capabilities":{"endpoints":["/v1/videos"],"parameters":{"/v1/videos":[],"common":["seed","model","prompt","duration","extra_body","resolution","aspect_ratio","callback_url","frame_images","input_references"]},"reasoning_efforts":[]}}]}],"uniqueKey":"","typeLabel":"GeminiModelsResponse · object"},"example":{"models":[{"name":"models/happyhorse-1.0","baseModelId":"happyhorse-1.0","version":"1.0","displayName":"HappyHorse 1.0","description":"HappyHorse 1.0","inputTokenLimit":null,"contextLength":null,"supportedParameters":[],"supportedGenerationMethods":[],"thinking":false,"aliases":["happyhorse-1.0","happyhorse-1.0-20260624"],"architecture":{"input_modalities":["text","image","video"],"output_modalities":["video"]},"capabilities":{"endpoints":["/v1/videos"],"parameters":{"/v1/videos":[],"common":["seed","model","prompt","duration","extra_body","resolution","aspect_ratio","callback_url","frame_images","input_references"]},"reasoning_efforts":[]}}]},"examples":{"Example":{"title":"Example","value":{"models":[{"name":"models/happyhorse-1.0","baseModelId":"happyhorse-1.0","version":"1.0","displayName":"HappyHorse 1.0","description":"HappyHorse 1.0","inputTokenLimit":null,"contextLength":null,"supportedParameters":[],"supportedGenerationMethods":[],"thinking":false,"aliases":["happyhorse-1.0","happyhorse-1.0-20260624"],"architecture":{"input_modalities":["text","image","video"],"output_modalities":["video"]},"capabilities":{"endpoints":["/v1/videos"],"parameters":{"/v1/videos":[],"common":["seed","model","prompt","duration","extra_body","resolution","aspect_ratio","callback_url","frame_images","input_references"]},"reasoning_efforts":[]}}]}}},"exampleType":"examples"}},"headers":{},"exampleType":"examples"},"50d3d8f7-472f-4eed-b702-2895283f12d0":{"description":"type contains an unknown type or an empty value.","content":{"application/json":{"schema":{"type":"object","required":["error"],"properties":{"error":{"type":"object","properties":{"message":{"type":"string","uniqueKey":"error.message","typeLabel":"string"},"type":{"type":"string","uniqueKey":"error.type","typeLabel":"string"},"param":{"oneOf":[{"type":"string","uniqueKey":"error.param.oneOf.0","typeLabel":"string"},{"type":"null","uniqueKey":"error.param.oneOf.1","typeLabel":"null"}],"uniqueKey":"error.param","typeLabel":"string | null"},"code":{"oneOf":[{"type":"string","uniqueKey":"error.code.oneOf.0","typeLabel":"string"},{"type":"null","uniqueKey":"error.code.oneOf.1","typeLabel":"null"}],"uniqueKey":"error.code","typeLabel":"string | null"}},"additionalProperties":true,"isRequired":true,"uniqueKey":"error","typeLabel":"object"}},"uniqueKey":"","typeLabel":"object"},"examples":{"Example":{"title":"Example","value":{"error":{"message":"\u003cstring>","type":"\u003cstring>","param":"\u003cstring>","code":"\u003cstring>"}}}},"exampleType":"generated"}},"headers":{},"exampleType":"generated"}},"security":{"2ca18e33-2b85-4cd2-be9b-1b1b8bfad172":{"bearer":{"type":"http","scheme":"bearer","scopes":[],"schemeName":"bearer"}}},"servers":{},"processedSecurityOptions":[{"schemes":[{"scheme":{"type":"http","scheme":"bearer","scopes":[],"schemeName":"bearer"},"schema":{"title":"Bearer Auth","type":"string","isRequired":true,"description":"Bearer authentication header of the form `Bearer \u003ctoken>`, where `\u003ctoken>` is your auth token.","format":"bearer","typeLabel":"string\u003cbearer>","deprecated":false},"schemeName":"bearer","name":"Authorization"}],"title":"bearer"}]},"originalFileLocation":"openapi/en/chat/gemini-models.json"},"subdomain":"tikway","siteName":"Tikway","title":"Get Models - Tikway","navMaps":{"firstHrefInVersion":{},"firstHrefInLanguage":{"zh":{"href":"/zh/api-reference/chat/gemini/list-models","matchLevel":1},"en":{"href":"/en/api-reference/chat/gemini/list-models","matchLevel":0}}},"lastModified":"2026-10-24T07:18:55.752Z","originalFileLocation":"en/api-reference/chat/gemini/list-models.mdx","locale":"en"},"headHtml":"\u003cscript data-mint-head>(function(){var d=document.documentElement,p=null;if(!p){try{p=localStorage.getItem(\"isDarkMode\")}catch(e){}if(p==='true')p='dark';else if(p==='false')p='light';if(p!=='light'\u0026\u0026p!=='dark'\u0026\u0026p!=='system')p=\"system\"}var r=p==='system'?(matchMedia(\"(prefers-color-scheme: dark)\").matches?'dark':'light'):p;d.classList.remove(r==='dark'?'light':'dark');d.classList.add(r);d.setAttribute(\"data-theme-preference\",p)})();\u003c/script>\u003cmeta data-mint-head name=\"description\" content=\"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit. Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.\">\u003cmeta data-mint-head name=\"application-name\" content=\"Tikway\">\u003cmeta data-mint-head name=\"generator\" content=\"Mintlify\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"192x192\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon/android-chrome-192x192.png\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"apple-touch-icon\" type=\"image/png\" sizes=\"180x180\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon/apple-touch-icon.png\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"16x16\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon/favicon-16x16.png\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"32x32\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon/favicon-32x32.png\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"shortcut icon\" type=\"image/x-icon\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon/favicon.ico\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"192x192\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon-dark/android-chrome-192x192.png\" media=\"(prefers-color-scheme: dark)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"16x16\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon-dark/favicon-16x16.png\" media=\"(prefers-color-scheme: dark)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"32x32\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon-dark/favicon-32x32.png\" media=\"(prefers-color-scheme: dark)\">\u003clink data-mint-head rel=\"shortcut icon\" type=\"image/x-icon\" href=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon-dark/favicon.ico\" media=\"(prefers-color-scheme: dark)\">\u003cmeta data-mint-head property=\"og:title\" content=\"Get Models - Tikway\">\u003cmeta data-mint-head property=\"og:description\" content=\"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit. Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.\">\u003cmeta data-mint-head property=\"og:site_name\" content=\"Tikway\">\u003cmeta data-mint-head property=\"og:url\" content=\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models\">\u003cmeta data-mint-head property=\"og:type\" content=\"website\">\u003cmeta data-mint-head property=\"og:image\" content=\"https://tikway.mintlify.app/_mintlify/api/og/v2?division=Gemini+protocol\u0026amp;title=Get+Models\u0026amp;description=Return+the+same+full+callable+model+catalog+as+GET+%2Fv1%2Fmodels+across+providers+and+text%2C+image%2C+video%2C+audio%2C+embedding%2C+and+decision+models.+No+implicit+protoc\u0026amp;theme=80cab077a26228715dec452f\u0026amp;signature=b2d649491986e8ca21ad58553dae0d89a8bc571d4a736a9606424cc93b09fdf9\">\u003cmeta data-mint-head property=\"og:image:width\" content=\"1200\">\u003cmeta data-mint-head property=\"og:image:height\" content=\"630\">\u003cmeta data-mint-head name=\"twitter:card\" content=\"summary_large_image\">\u003cmeta data-mint-head name=\"twitter:title\" content=\"Get Models - Tikway\">\u003cmeta data-mint-head name=\"twitter:description\" content=\"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit. Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.\">\u003cmeta data-mint-head name=\"twitter:image\" content=\"https://tikway.mintlify.app/_mintlify/api/og/v2?division=Gemini+protocol\u0026amp;title=Get+Models\u0026amp;description=Return+the+same+full+callable+model+catalog+as+GET+%2Fv1%2Fmodels+across+providers+and+text%2C+image%2C+video%2C+audio%2C+embedding%2C+and+decision+models.+No+implicit+protoc\u0026amp;theme=80cab077a26228715dec452f\u0026amp;signature=b2d649491986e8ca21ad58553dae0d89a8bc571d4a736a9606424cc93b09fdf9\">\u003cmeta data-mint-head name=\"twitter:image:width\" content=\"1200\">\u003cmeta data-mint-head name=\"twitter:image:height\" content=\"630\">\u003cmeta data-mint-head name=\"msapplication-config\" content=\"/mintlify-assets/_mintlify/favicons/tikway/BXjEGHgHOW9NRxi7/_generated/favicon/browserconfig.xml\">\u003cmeta data-mint-head name=\"apple-mobile-web-app-title\" content=\"Tikway\">\u003cmeta data-mint-head name=\"msapplication-TileColor\" content=\"#3d3b3a\">\u003clink data-mint-head rel=\"canonical\" href=\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models\">\u003clink data-mint-head rel=\"alternate\" type=\"application/xml\" href=\"/sitemap.xml\">\u003clink data-mint-head rel=\"alternate\" type=\"text/markdown\" href=\"/en/api-reference/chat/gemini/list-models.md\">\u003clink data-mint-head rel=\"alternate\" hreflang=\"en\" href=\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models\">\u003clink data-mint-head rel=\"alternate\" hreflang=\"zh\" href=\"https://docs.tikway.ai/zh/api-reference/chat/gemini/list-models\">\u003clink data-mint-head rel=\"alternate\" hreflang=\"x-default\" href=\"https://docs.tikway.ai/zh/api-reference/chat/gemini/list-models\">\u003cscript data-mint-head type=\"application/ld+json\">{\"@context\":\"https://schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"https://docs.tikway.ai/#organization\",\"name\":\"Tikway\",\"url\":\"https://docs.tikway.ai\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https://mintcdn.com/tikway/jbQHUstQv4m6VXpl/logo/light.png?fit=max\u0026auto=format\u0026n=jbQHUstQv4m6VXpl\u0026q=85\u0026s=2ffadc60838b347e4b303c5324329d71\"}},{\"@type\":\"WebSite\",\"@id\":\"https://docs.tikway.ai#website\",\"name\":\"Tikway\",\"url\":\"https://docs.tikway.ai\",\"publisher\":{\"@id\":\"https://docs.tikway.ai/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models#webpage\",\"url\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models\",\"name\":\"Get Models\",\"description\":\"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit. Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.\",\"dateModified\":\"2026-10-24T07:18:55.752Z\",\"isPartOf\":{\"@id\":\"https://docs.tikway.ai#website\"},\"breadcrumb\":{\"@id\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models#breadcrumb\"}},{\"@type\":\"BreadcrumbList\",\"@id\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Chat completions\",\"item\":\"https://docs.tikway.ai/en/api-reference/chat/openai/chat-completions\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Gemini protocol\",\"item\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/generate-content\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Get Models\",\"item\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models\"}]},{\"@type\":[\"TechArticle\",\"APIReference\"],\"@id\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models#apireference\",\"headline\":\"Get Models\",\"name\":\"Get Models\",\"description\":\"Return the same full callable model catalog as GET /v1/models across providers and text, image, video, audio, embedding, and decision models. No implicit protocol filtering is applied. The native response envelope and pagination remain available; provider, mode, and type filters are explicit. Each model includes aliases, architecture, capabilities.endpoints, capabilities.parameters, and capabilities.reasoning_efforts, matching the OpenAI list. Merge common with the endpoint parameter array for its complete parameter set. Catalog inclusion does not imply support for generation through this protocol; use capabilities.endpoints.\",\"url\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models\",\"mainEntityOfPage\":{\"@id\":\"https://docs.tikway.ai/en/api-reference/chat/gemini/list-models#webpage\"},\"dateModified\":\"2026-10-24T07:18:55.752Z\",\"publisher\":{\"@id\":\"https://docs.tikway.ai/#organization\"},\"isPartOf\":{\"@id\":\"https://docs.tikway.ai#website\"}}]}\u003c/script>\u003cscript data-mint-head type=\"application/ld+json\">{\"@context\":\"https://schema.org\",\"@type\":\"WebSite\",\"name\":\"Tikway\",\"creator\":{\"@type\":\"Organization\",\"name\":\"Mintlify\",\"url\":\"https://mintlify.com\"}}\u003c/script>","siteName":"Tikway","nav":{"global":{"anchors":[{"anchor":"Home","icon":"house","href":"https://tikway.ai"}]},"languages":[{"language":"zh","pages":[{"title":"zh","href":"/zh/api-reference/chat/gemini/list-models"}]},{"language":"en","tabs":[{"tab":"Guides","pages":[{"title":"Guides","href":"/en/introduction"}]},{"tab":"API Reference","groups":[{"group":"Chat completions","pages":[{"group":"OpenAI protocol","pages":[{"title":"Chat Completions","deprecated":false,"version":null,"sidebarTitle":"Chat Completions","openapi":"/openapi/en/chat/openai.json post /v1/chat/completions","href":"/en/api-reference/chat/openai/chat-completions"},{"title":"Responses","deprecated":false,"version":null,"sidebarTitle":"Responses","openapi":"/openapi/en/chat/openai.json post /v1/responses","href":"/en/api-reference/chat/openai/responses"},{"title":"Get Models","deprecated":false,"version":null,"sidebarTitle":"Get Models","openapi":"/openapi/en/chat/openai-models.json get /v1/models","href":"/en/api-reference/chat/openai/list-models"}]},{"group":"Anthropic protocol","pages":[{"title":"Messages","deprecated":false,"version":null,"sidebarTitle":"Messages","openapi":"/openapi/en/chat/anthropic.json post /v1/messages","href":"/en/api-reference/chat/anthropic/messages"},{"title":"Get Models","deprecated":false,"version":null,"sidebarTitle":"Get Models","openapi":"/openapi/en/chat/anthropic-models.json get /anthropic/v1/models","href":"/en/api-reference/chat/anthropic/list-models"}]},{"group":"Gemini protocol","pages":[{"title":"Generate Content","deprecated":false,"version":null,"sidebarTitle":"Generate Content","openapi":"/openapi/en/chat/gemini.json post /v1beta/models/{model}:generateContent","href":"/en/api-reference/chat/gemini/generate-content"},{"title":"Stream Generate Content","description":"","deprecated":false,"version":null,"sidebarTitle":"Stream Generate Content","openapi":"/openapi/en/chat/gemini.json post /v1beta/models/{model}:streamGenerateContent","href":"/en/api-reference/chat/gemini/stream-generate-content"},{"title":"Get Models","deprecated":false,"version":null,"sidebarTitle":"Get Models","openapi":"/openapi/en/chat/gemini-models.json get /v1beta/models","href":"/en/api-reference/chat/gemini/list-models"},{"title":"Create Cached Content","description":"","deprecated":false,"version":null,"sidebarTitle":"Create Cached Content","openapi":"/openapi/en/chat/gemini.json post /v1beta/cachedContents","href":"/en/api-reference/chat/gemini/create-cache"},{"title":"Get Cached Content","deprecated":false,"version":null,"sidebarTitle":"Get Cached Content","openapi":"/openapi/en/chat/gemini.json get /v1beta/cachedContents/{id}","href":"/en/api-reference/chat/gemini/get-cache"},{"title":"Delete Cached Content","deprecated":false,"version":null,"sidebarTitle":"Delete Cached Content","openapi":"/openapi/en/chat/gemini.json delete /v1beta/cachedContents/{id}","href":"/en/api-reference/chat/gemini/delete-cache"}]}]},{"group":"Image generation","pages":[{"group":"GPT Image","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/gpt-image.json post /v1/images/generations","href":"/en/api-reference/images/gpt-image/generate"},{"title":"Image editing","deprecated":false,"version":null,"sidebarTitle":"Image editing","openapi":"/openapi/en/images/gpt-image.json post /v1/images/edits","href":"/en/api-reference/images/gpt-image/edit"}]},{"group":"Nano Banana","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/nano-banana.json post /v1/images/generations","href":"/en/api-reference/images/nano-banana/generate"},{"title":"Gemini protocol - image generation","deprecated":false,"version":null,"sidebarTitle":"Gemini protocol - image generation","openapi":"/openapi/en/images/nano-banana.json post /v1beta/models/{model}:generateContent","href":"/en/api-reference/images/nano-banana/generate-content"}]},{"group":"Qwen Image","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/qwen.json post /v1/images/generations","href":"/en/api-reference/images/qwen/generate"}]},{"group":"Seedream","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/seedream.json post /v1/images/generations","href":"/en/api-reference/images/seedream/generate"}]},{"group":"MAI Image","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/mai-image.json post /v1/images/generations","href":"/en/api-reference/images/mai-image/generate"}]},{"group":"Novel","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/novelai.json post /v1/images/generations","href":"/en/api-reference/images/novelai/generate"}]},{"group":"Flux","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/flux.json post /v1/images/generations","href":"/en/api-reference/images/flux/generate"}]},{"group":"Grok","pages":[{"title":"Image generation","deprecated":false,"version":null,"sidebarTitle":"Image generation","openapi":"/openapi/en/images/grok.json post /v1/images/generations","href":"/en/api-reference/images/grok/generate"}]}]},{"group":"Video generation","pages":[{"group":"Seedance","pages":[{"title":"Create a Seedance video","deprecated":false,"version":null,"sidebarTitle":"Create a Seedance video","openapi":"/openapi/en/videos/seedance.json post /v1/videos","href":"/en/api-reference/videos/seedance/create"},{"title":"Query Seedance video tasks","deprecated":false,"version":null,"sidebarTitle":"Query Seedance video tasks","openapi":"/openapi/en/videos/seedance.json get /v1/videos/{id}","href":"/en/api-reference/videos/seedance/get-task"}]},{"group":"Wan","pages":[{"title":"Create Wan video","deprecated":false,"version":null,"sidebarTitle":"Create Wan video","openapi":"/openapi/en/videos/wan.json post /v1/videos","href":"/en/api-reference/videos/wan/create"},{"title":"Query Wan video tasks","deprecated":false,"version":null,"sidebarTitle":"Query Wan video tasks","openapi":"/openapi/en/videos/wan.json get /v1/videos/{id}","href":"/en/api-reference/videos/wan/get-task"}]},{"group":"HappyHorse","pages":[{"title":"Create a HappyHorse video","deprecated":false,"version":null,"sidebarTitle":"Create a HappyHorse video","openapi":"/openapi/en/videos/happyhorse.json post /v1/videos","href":"/en/api-reference/videos/happyhorse/create"},{"title":"Query HappyHorse video tasks","deprecated":false,"version":null,"sidebarTitle":"Query HappyHorse video tasks","openapi":"/openapi/en/videos/happyhorse.json get /v1/videos/{id}","href":"/en/api-reference/videos/happyhorse/get-task"}]},{"group":"MiniMax","pages":[{"title":"Create MiniMax H3 video","deprecated":false,"version":null,"sidebarTitle":"Create MiniMax H3 video","openapi":"/openapi/en/videos/minimax.json post /v1/videos","href":"/en/api-reference/videos/minimax/create"},{"title":"Query MiniMax H3 video task","deprecated":false,"version":null,"sidebarTitle":"Query MiniMax H3 video task","openapi":"/openapi/en/videos/minimax.json get /v1/videos/{id}","href":"/en/api-reference/videos/minimax/get-task"}]},{"group":"Veo","pages":[{"title":"Create a Veo video","deprecated":false,"version":null,"sidebarTitle":"Create a Veo video","openapi":"/openapi/en/videos/veo.json post /v1/videos","href":"/en/api-reference/videos/veo/create"},{"title":"Query Veo video tasks","deprecated":false,"version":null,"sidebarTitle":"Query Veo video tasks","openapi":"/openapi/en/videos/veo.json get /v1/videos/{id}","href":"/en/api-reference/videos/veo/get-task"}]},{"group":"Grok","pages":[{"title":"Create a Grok Imagine Video video","deprecated":false,"version":null,"sidebarTitle":"Create a Grok Imagine Video video","openapi":"/openapi/en/videos/grok.json post /v1/videos","href":"/en/api-reference/videos/grok/create"},{"title":"Query Grok Imagine Video video tasks","deprecated":false,"version":null,"sidebarTitle":"Query Grok Imagine Video video tasks","openapi":"/openapi/en/videos/grok.json get /v1/videos/{id}","href":"/en/api-reference/videos/grok/get-task"}]},{"group":"Flux","pages":[{"title":"Create FLUX 3 Video videos","deprecated":false,"version":null,"sidebarTitle":"Create FLUX 3 Video videos","openapi":"/openapi/en/videos/flux.json post /v1/videos","href":"/en/api-reference/videos/flux/create"},{"title":"Query FLUX 3 Video video tasks","deprecated":false,"version":null,"sidebarTitle":"Query FLUX 3 Video video tasks","openapi":"/openapi/en/videos/flux.json get /v1/videos/{id}","href":"/en/api-reference/videos/flux/get-task"}]}]},{"group":"Embeddings","pages":[{"title":"GPT - vector","deprecated":false,"version":null,"sidebarTitle":"GPT - vector","openapi":"/openapi/en/embeddings/openapi.json post /v1/embeddings","href":"/en/api-reference/embeddings/openai/create"},{"title":"Gemini embedding","deprecated":false,"version":null,"sidebarTitle":"Gemini embedding","openapi":"/openapi/en/embeddings/openapi.json post /v1beta/models/google/{model}:embedContent","href":"/en/api-reference/embeddings/gemini/create"}]},{"group":"Transcriptions","pages":[{"title":"Speech transcription","deprecated":false,"version":null,"sidebarTitle":"Speech transcription","openapi":"/openapi/en/transcriptions/openapi.json post /v1/audio/transcriptions","href":"/en/api-reference/transcriptions/create"}]},{"group":"Speech synthesis","pages":[{"title":"Qwen voices","sidebarTitle":"Qwen voices","icon":"microphone","href":"/en/api-reference/speech/qwen/voices"},{"title":"Google TTS voices and usage","sidebarTitle":"Google voices","icon":"microphone","href":"/en/api-reference/speech/google/voices"},{"group":"Qwen3-TTS","pages":[{"title":"Qwen text to speech","deprecated":null,"version":null,"sidebarTitle":"Qwen text to speech","openapi":"/openapi/en/speech/qwen.json post /v1/audio/speech","href":"/en/api-reference/speech/qwen/create"}]},{"group":"Google TTS","pages":[{"title":"Google text to speech","deprecated":null,"version":null,"sidebarTitle":"Google text to speech","openapi":"/openapi/en/speech/google.json post /v1/audio/speech","href":"/en/api-reference/speech/google/create"}]},{"group":"Qwen Audio","pages":[{"title":"Qwen Audio text to speech","deprecated":null,"version":null,"sidebarTitle":"Qwen Audio text to speech","openapi":"/openapi/en/speech/qwen-audio.json post /v1/audio/speech","href":"/en/api-reference/speech/qwen-audio/create"}]}]},{"group":"Decisions","pages":[{"group":"OpenAI","pages":[{"title":"OpenAI decision evaluation","deprecated":null,"version":null,"sidebarTitle":"OpenAI decision evaluation","openapi":"/openapi/en/decisions/openai.json post /v1/decisions","href":"/en/api-reference/decisions/openai/create"}]},{"group":"Jev","pages":[{"title":"Jev decision evaluation","deprecated":null,"version":null,"sidebarTitle":"Jev decision evaluation","openapi":"/openapi/en/decisions/jev.json post /v1/decisions","href":"/en/api-reference/decisions/jev/create"}]}]},{"group":"Utilities","pages":[{"group":"Balance","pages":[{"title":"Get balance","deprecated":null,"version":null,"sidebarTitle":"Get balance","openapi":"/openapi/en/utilities/balance.json get /v1/user/balance","href":"/en/api-reference/utilities/balance"}]}]}]}]}]},"title":"Get Models - Tikway","buildId":"dpl_HcHmUS6i3UwswnTHJUEdcTtwfdTQ","deploymentId":"dpl_HcHmUS6i3UwswnTHJUEdcTtwfdTQ","dynamics":["c2aa737661","2b790eda92","b0f84f53ff","a9bb46feb3"],"chunks":["OpenApiReferenceProvider-BRm_l__d.js","utils-f1l1Oc-G.js","cloneDeep-izs3Hzxb.js","_Uint8Array-BVIqJ90l.js","isObjectLike-C8vmzPEN.js","isArray-Dcu1dQ5t.js","utils-BlhqDhJO.js","toString-BX-iyh8G.js","isSymbol-CSH9U2Gm.js","addUniqueKeysToSchema-DHCB7rsC.js","snippetPresets-CYXLx6Hv.js","style-to-object-BY3JEAdk.js","v4-DIgz8zy6.js","ApiExamples-B78P2dEq.js","isEqual-BfaiBbcl.js","usePlaygroundInputsStore-C4YLPVAh.js","shallow-vlLnTDkQ.js","getApiPlaygroundDisplay-D_98hhvf.js","CodeSnippet-DtnZHGqq.js","CodeSnippets-CLFb8KJt.js","Page-kQh739Uz.js","getPastedJson-Cq-zlbnU.js","icon-sN3t983t.js","MethodPill-P_YQ2s09.js","DuplicateIcon-BVzyNsGJ.js","createIcon-B3jqgqC6.js","DynamicMarkdown-Crwq6WG_.js","SectionHeading-C7pGS2Bb.js","axios-vUo_bRtp.js","Markdown-BuPH8yuW.js","clsx-CCOYKgaU.js","lib--scc4DXi.js","lib-B8HbPgcC.js","html-void-elements-mCSPHezU.js","dist-BnkC_6oA.js","katex-YMM-FMeD.js","marked.esm-CZWythHk.js","AssistantPageLink-BM4S31-f.js"]}