> ## Documentation Index > Fetch the complete documentation index at: https://veniceai-docs-sidebar-topnav-design.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Lister les modèles > Returns a list of available models supported by the Venice.ai API across text, image, audio, video, and related inference types. ## Tarification par niveau de qualité Pour les modèles d'image qui acceptent le paramètre `quality` optionnel (actuellement `gpt-image-2` et `gpt-image-2-edit`), la réponse expose une matrice de prix par qualité sous `model_spec.pricing.quality`. Chaque clé de premier niveau est un niveau de résolution (`1K`, `2K`, `4K`) et chaque clé imbriquée est un niveau de qualité (`low`, `medium`, `high`) avec son propre prix `usd` et `diem` : ```json theme={"system"} "pricing": { "resolutions": { "1K": { "usd": 0.27, "diem": 0.27 }, "2K": { "usd": 0.51, "diem": 0.51 }, "4K": { "usd": 0.84, "diem": 0.84 } }, "quality": { "1K": { "low": { "usd": 0.02, "diem": 0.02 }, "medium": { "usd": 0.07, "diem": 0.07 }, "high": { "usd": 0.26, "diem": 0.26 } }, "2K": { "low": { "usd": 0.03, "diem": 0.03 }, "medium": { "usd": 0.13, "diem": 0.13 }, "high": { "usd": 0.50, "diem": 0.50 } }, "4K": { "low": { "usd": 0.05, "diem": 0.05 }, "medium": { "usd": 0.21, "diem": 0.21 }, "high": { "usd": 0.83, "diem": 0.83 } } } } ``` `pricing.resolutions` est la grille de prix par image héritée, conservée pour la compatibilité ascendante. `pricing.quality` est la matrice par (résolution, qualité) qui s'applique chaque fois que le paramètre `quality` est pris en charge. Les deux champs sont conservés dans la réponse afin que les clients puissent détecter la prise en charge de la qualité et exposer la matrice dans leurs propres interfaces. ## Collection Postman Pour des exemples supplémentaires, veuillez consulter cette [collection Postman](https://www.postman.com/veniceai/workspace/venice-ai-workspace/folder/38652128-59dfa959-7038-4cd8-b8ba-80cf09f2f026?action=share\&source=copy-link\&creator=38652128\&ctx=documentation). *** ## OpenAPI ````yaml GET /models openapi: 3.0.0 info: description: The Venice.ai API. termsOfService: https://venice.ai/legal/tos title: Venice.ai API version: '20260622.204854' x-guidance: >- Venice.ai is an OpenAI-compatible inference API supporting text, image, audio, and video generation. **Authentication options:** - API Key: Use Bearer token in Authorization header - x402 Wallet: Use USDC credits via EVM or Solana wallet (no account required) **For x402 wallet access:** 1. POST /x402/top-up without headers to get payment requirements 2. Choose one of the returned Base or Solana payment options and sign a USDC payment using the x402 SDK 3. POST /x402/top-up with PAYMENT-SIGNATURE header to add credits 4. Call any inference endpoint with SIGN-IN-WITH-X header **Pricing:** Prepaid credits consumed per request. Check /models for available models and their capabilities. servers: - url: https://api.venice.ai/api/v1 security: - BearerAuth: [] tags: - description: >- Generate speech/audio, transcribe audio, and manage asynchronous audio generation jobs. name: Audio - description: >- Given a list of messages comprising a conversation, the model will return a response. Supports multimodal inputs including text, images, audio (input_audio), and video (video_url) for compatible models. name: Chat - description: List and describe the various models available in the API. name: Models - description: Generate and manipulate images using AI models. name: Image - description: Generate videos using AI models. name: Video - description: List and retrieve character information for use in completions. name: Characters - description: >- Billing and usage analytics. **Beta**: This API is currently in beta and may be unstable. Endpoints, request/response schemas, and behavior may change without notice. name: Billing - description: Proxy JSON-RPC requests to blockchain nodes. Billed per credit. name: Crypto RPC - description: >- Wallet-based API access using the x402 protocol. No API key required — authenticate with an EVM or Solana wallet. **How it works:** 1. **Authenticate** — Send a `SIGN-IN-WITH-X` header (base64-encoded signed SIWX payload) with any request. EVM wallets sign an EIP-4361 SIWE message; Solana wallets sign the Solana SIWX message with Ed25519. See the `siwx` security scheme for the exact format. 2. **Top up** — `POST /x402/top-up` without a payment header returns an `accepts` array with Base and Solana USDC payment options. Choose one entry, sign it using the x402 SDK (`npm install x402`), and re-submit with the `PAYMENT-SIGNATURE` header (the legacy `X-402-Payment` and `X-PAYMENT` names are also accepted). 3. **Use any endpoint** — All inference endpoints (chat, image, audio, video, embeddings) accept `siwx` as an alternative to `BearerAuth`. Charges are deducted from your USDC credit balance. 4. **Monitor balance** — `GET /x402/balance/{walletAddress}` returns your current balance. The `X-Balance-Remaining` response header on inference calls also reports it. **Quick start (5 lines):** ``` import { VeniceClient } from '@venice-ai/x402-client' const venice = new VeniceClient(process.env.WALLET_KEY) await venice.topUp(10) // $10 USDC on a supported x402 rail const res = await venice.chat({ model: 'zai-org-glm-5-1', messages: [{ role: 'user', content: 'Hello!' }] }) ``` **Payment:** USDC on Base (chain ID 8453) or Solana mainnet. Minimum top-up: $5. Alternatively, stake DIEM tokens for daily credits (1 DIEM = $1/day). name: x402 externalDocs: description: Venice.ai API documentation url: https://docs.venice.ai paths: /models: get: tags: - Models summary: /api/v1/models description: >- Returns a list of available models supported by the Venice.ai API across text, image, audio, video, and related inference types. operationId: listModels parameters: - schema: anyOf: - type: string enum: - asr - embedding - image - music - text - tts - upscale - inpaint - video - type: string enum: - all - code description: Filter models by type. Use "all" to get all model types. example: text required: false name: type in: query responses: '200': description: OK content: application/json: schema: type: object properties: data: type: array items: $ref: '#/components/schemas/ModelResponse' description: List of available models object: type: string enum: - list type: anyOf: - type: string enum: - asr - embedding - image - music - text - tts - upscale - inpaint - video - type: string enum: - all - code description: Type of models returned. example: text required: - data - object - type '500': description: An unknown error occurred content: application/json: schema: $ref: '#/components/schemas/StandardError' security: - {} - BearerAuth: [] components: schemas: ModelResponse: type: object properties: context_length: type: number description: >- The context length (maximum input tokens) supported by the model. Only present for text models. This is a standard OpenAI-compatible field that mirrors model_spec.availableContextTokens for client compatibility. example: 131072 created: type: number description: Release date on Venice API example: 1699000000 id: type: string description: Model ID example: zai-org-glm-5-2 model_spec: type: object properties: availableContextTokens: type: number description: >- The context length supported by the model. Only applicable for text models. example: 1000000 maxCompletionTokens: type: number description: >- The maximum number of completion tokens the model can generate. Use this to know the upper bound for the max_completion_tokens request parameter. Only applicable for text models. example: 131072 beta: type: boolean description: >- Is this model restricted to beta users only? If true, only users with beta access can use this model example: false betaModel: type: boolean description: Is this model in beta status? example: false privacy: type: string enum: - private - anonymized description: >- The privacy mode of the model. Private models have zero data retention. Anonymized models Venice can not guarantee privacy on, but requests are not affiliated with a user example: private regionRestrictions: type: array items: type: string description: >- Country codes where this model is intended to be available. Only present for models with region restrictions metadata. example: - US deprecation: type: object properties: autoRemap: type: boolean description: >- When true, Venice may automatically remap API requests for this model ID to replacementModelId instead of returning an error. example: false date: type: string description: >- Legacy ISO 8601 instant aligned with the deprecation sunset used in response headers (`x-venice-model-deprecation-date`). Prefer startsAt / removesAt for new integrations. example: '2025-03-01T00:00:00.000Z' removesAt: type: string description: >- ISO 8601 instant when this model ID is omitted from public GET /models listings (same value as `date` today). Consumers should treat the current wall-clock time as past this instant when deciding whether the model remains listed. example: '2025-04-01T00:00:00.000Z' replacementModelId: type: string description: >- Suggested public API model ID to migrate to, when one exists. example: llama-3-3-70b startsAt: type: string description: >- ISO 8601 instant when deprecation warnings and documentation should be considered active for this model. example: '2025-03-01T00:00:00.000Z' required: - autoRemap - date - removesAt description: >- Deprecation information for the model. Only present for models scheduled to be retired example: autoRemap: false date: '2025-03-01T00:00:00.000Z' removesAt: '2025-03-01T00:00:00.000Z' capabilities: type: object properties: optimizedForCode: type: boolean description: Is the LLM optimized for coding? example: true quantization: type: string enum: - fp4 - fp8 - fp16 - bf16 - int8 - int4 - not-available description: The quantization type of the running model. example: fp8 supportsFunctionCalling: type: boolean description: Does the LLM model support function calling? example: true supportsAudioInput: type: boolean description: Does the LLM support audio input? example: false supportsReasoning: type: boolean description: >- Does the model support reasoning with blocks of output. example: true supportsReasoningEffort: type: boolean description: >- Does the model support the reasoning_effort parameter to control reasoning depth. example: true reasoningEffortOptions: type: array items: type: string enum: - none - minimal - low - medium - high - xhigh - max description: >- Supported reasoning_effort values for this model. Only present when supportsReasoningEffort is true. The "none" option means reasoning can be disabled. example: - none - low - medium - high defaultReasoningEffort: type: string enum: - none - minimal - low - medium - high - xhigh - max description: >- Default reasoning_effort value used when the request does not specify one. Only present when supportsReasoningEffort is true. example: medium supportsResponseSchema: type: boolean description: >- Does the LLM model support response schema? Only models that support function calling can support response_schema. example: true supportsMultipleImages: type: boolean description: >- Does the LLM support multiple images in a single request? Only applicable when supportsVision is true. example: true maxImages: type: number description: >- Maximum number of images supported per request. Only present when supportsMultipleImages is true. example: 10 supportsVision: type: boolean description: Does the LLM support vision? example: true supportsVideoInput: type: boolean description: Does the LLM support video input? example: true supportsWebSearch: type: boolean description: Does the LLM model support web search? example: true supportsLogProbs: type: boolean description: Does the LLM model support logprobs parameter? example: true supportsTeeAttestation: type: boolean description: >- Does the model run inside a Trusted Execution Environment (TEE) with hardware attestation? When true, use GET /tee/attestation and GET /tee/signature to cryptographically verify that inference occurred inside a genuine TEE. example: false supportsE2EE: type: boolean description: >- Does the model support End-to-End Encryption (E2EE)? When true, clients can encrypt prompts using the TEE public key from attestation, and responses are returned encrypted. Requires supportsTeeAttestation to also be true. example: false supportsXSearch: type: boolean description: >- Does the model support xAI's native X Search (web + X/Twitter search)? When true, you can use venice_parameters.enable_x_search to activate real-time search powered by xAI. example: false required: - optimizedForCode - quantization - supportsFunctionCalling - supportsAudioInput - supportsReasoning - supportsReasoningEffort - supportsResponseSchema - supportsMultipleImages - supportsVision - supportsVideoInput - supportsWebSearch - supportsLogProbs - supportsTeeAttestation - supportsE2EE - supportsXSearch additionalProperties: false description: Text model specific capabilities. constraints: anyOf: - type: object properties: aspectRatios: type: array items: type: string description: >- Supported aspect ratio options for this model. Only present for models that support aspect ratio selection. example: - '1:1' - '16:9' - '9:16' - '3:2' - '2:3' defaultAspectRatio: type: string description: >- The default aspect ratio for this model. Only present for models that support aspect ratio selection. example: '1:1' defaultResolution: type: string description: >- The default resolution for this model. Only present for models that support resolution selection. example: 1K resolutions: type: array items: type: string description: >- Supported resolution options for this model. Only present for models that support resolution selection. example: - 1K - 2K - 4K defaultQuality: type: string enum: - low - medium - high description: >- The default quality for this model. Only present for models that accept the `quality` request parameter (currently GPT Image 2). example: high qualities: type: array items: type: string enum: - low - medium - high description: >- Supported quality options for this model. Only present for models that accept the `quality` request parameter (currently GPT Image 2). example: - low - medium - high promptCharacterLimit: type: number description: The maximum supported prompt length. example: 2048 steps: type: object properties: default: type: number description: The default steps value for the model example: 25 max: type: number description: The maximum supported steps value for the model example: 50 required: - default - max widthHeightDivisor: type: number description: >- The requested width and height of the image generation must be divisible by this value. example: 8 required: - promptCharacterLimit - steps - widthHeightDivisor description: Constraints that apply to image models. title: Image Model Constraints - type: object properties: temperature: type: object properties: default: type: number description: The default temperature value for the model example: 0.7 required: - default top_p: type: object properties: default: type: number description: The default top_p value for the model example: 0.9 required: - default frequency_penalty: type: object properties: default: type: number description: The default frequency_penalty value for the model example: 0 required: - default presence_penalty: type: object properties: default: type: number description: The default presence_penalty value for the model example: 0 required: - default repetition_penalty: type: object properties: default: type: number description: The default repetition_penalty value for the model example: 1.05 required: - default required: - temperature - top_p description: Constraints that apply to text models. title: Text Model Constraints - type: object properties: aspect_ratios: type: array items: type: string description: >- The aspect ratios supported by the model. Empty array means the model does not support a defined aspect ratio. example: - '16:9' - '9:16' resolutions: type: array items: type: string description: >- The resolutions supported by the model. Empty array means the model does not support a defined resolution. example: - 1080p - 720p - 480p durations: type: array items: type: string description: >- The durations supported by the model. Empty array means the model does not support a defined duration. example: - 5s - 10s - 15s - 20s - 30s model_type: type: string enum: - image-to-video - text-to-video - video description: The type of video model. example: image-to-video audio: type: boolean description: Does the model support audio generation? example: true audio_configurable: type: boolean description: >- Can audio be enabled or disabled for the video generation? example: true prompt_character_limit: type: number description: >- The maximum supported prompt length for this video model. If not specified, the default is 2500 characters. example: 1000 required: - aspect_ratios - resolutions - durations - model_type - audio - audio_configurable description: Constraints that apply to video models. title: Video Model Constraints - type: object properties: aspectRatios: type: array items: type: string description: >- The aspect ratios supported by this model. Omit the parameter to use the model's default setting. example: - auto - '1:1' - '16:9' - '9:16' promptCharacterLimit: type: number description: The maximum supported prompt length. example: 1500 combineImages: type: boolean description: >- Whether this model supports combining multiple input images. example: true singleImageAspectRatio: type: boolean description: >- If false, output dimensions match the input on single-image edits and `aspect_ratio` is ignored. Multi-image edits are unaffected. Defaults to true. example: true defaultResolution: type: string description: >- The default resolution for this inpaint model. Only present for models that support resolution selection (e.g. GPT Image 2 Edit). example: 1K resolutions: type: array items: type: string description: >- Supported resolution options for this inpaint model. Only present for models that support resolution selection. example: - 1K - 2K - 4K defaultQuality: type: string enum: - low - medium - high description: >- The default quality for this inpaint model. Only present for models that accept the `quality` request parameter (currently GPT Image 2 Edit). example: high qualities: type: array items: type: string enum: - low - medium - high description: >- Supported quality options for this inpaint model. Only present for models that accept the `quality` request parameter (currently GPT Image 2 Edit). example: - low - medium - high required: - aspectRatios - promptCharacterLimit - combineImages description: Constraints that apply to inpaint/edit models. title: Inpaint Model Constraints description: Constraints that apply to this model. description: type: string description: A human-readable description of the model and its capabilities. example: >- Balanced blend of speed and capability. Handles most everyday tasks with reliability. name: type: string description: The name of the model. example: GLM 5.2 modelSource: type: string description: The source of the model, such as a URL to the model repository. example: https://huggingface.co/zai-org/GLM-5.2 offline: type: boolean default: false description: Is this model presently offline? example: false pricing: anyOf: - type: object properties: input: type: object properties: usd: type: number description: USD cost per million input tokens example: 0.7 diem: type: number description: Diem cost per million input tokens example: 7 required: - usd - diem cache_input: type: object properties: usd: type: number description: >- USD cost per million cached input tokens (discounted rate for cache reads) example: 0.35 diem: type: number description: >- Diem cost per million cached input tokens (discounted rate for cache reads) example: 3.5 required: - usd - diem description: >- Optional pricing for cached input tokens (cache reads). Only present for models that support context caching. cache_write: type: object properties: usd: type: number description: >- USD cost per million cache creation tokens (cache writes). For some providers this may be higher than input price. example: 7.5 diem: type: number description: >- Diem cost per million cache creation tokens (cache writes). For some providers this may be higher than input price. example: 75 required: - usd - diem description: >- Optional pricing for cache creation tokens (cache writes). Only present for models where provider charges for cache writes (e.g., Anthropic charges 1.25x input price). output: type: object properties: usd: type: number description: USD cost per million output tokens example: 2.8 diem: type: number description: Diem cost per million output tokens example: 28 required: - usd - diem extended: type: object properties: context_token_threshold: type: number description: >- Input token count above which extended pricing applies example: 200000 input: type: object properties: usd: type: number description: >- USD cost per million input tokens (extended tier) example: 11 diem: type: number description: >- Diem cost per million input tokens (extended tier) example: 11 required: - usd - diem output: type: object properties: usd: type: number description: >- USD cost per million output tokens (extended tier) example: 41.25 diem: type: number description: >- Diem cost per million output tokens (extended tier) example: 41.25 required: - usd - diem cache_input: type: object properties: usd: type: number description: >- USD cost per million cached input tokens (extended tier) example: 1.1 diem: type: number description: >- Diem cost per million cached input tokens (extended tier) example: 1.1 required: - usd - diem cache_write: type: object properties: usd: type: number description: >- USD cost per million cache write tokens (extended tier) example: 13.75 diem: type: number description: >- Diem cost per million cache write tokens (extended tier) example: 13.75 required: - usd - diem required: - context_token_threshold - input - output description: >- Extended pricing for long-context requests exceeding the threshold. When input tokens exceed context_token_threshold, extended rates apply to the entire request. required: - input - output description: >- Token-based pricing for chat models. Models supporting context caching will include cache_input (cache read) pricing. Some providers like Anthropic also charge for cache_write (cache creation) at a premium rate. title: LLM Model Pricing - type: object properties: generation: type: object properties: usd: type: number description: USD cost per image generation (base price) example: 0.01 diem: type: number description: Diem cost per image generation (base price) example: 0.1 required: - usd - diem description: >- Base pricing for image generation. Only present for models without resolution-specific pricing. resolutions: type: object additionalProperties: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem description: >- Resolution-specific pricing. Keys are resolution tiers (e.g. "1K", "2K", "4K"). Only present for models that support resolution selection. When present, replaces `generation`. example: 1K: usd: 0.18 diem: 0.18 2K: usd: 0.24 diem: 0.24 4K: usd: 0.35 diem: 0.35 quality: type: object additionalProperties: type: object properties: low: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem medium: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem high: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem description: >- Per-(resolution, quality) pricing. Only present for models that accept the `quality` request parameter (currently GPT Image 2 / GPT Image 2 Edit). example: 1K: high: usd: 0.27 diem: 0.27 low: usd: 0.02 diem: 0.02 medium: usd: 0.07 diem: 0.07 2K: high: usd: 0.5 diem: 0.5 low: usd: 0.03 diem: 0.03 medium: usd: 0.13 diem: 0.13 4K: high: usd: 0.83 diem: 0.83 low: usd: 0.05 diem: 0.05 medium: usd: 0.21 diem: 0.21 upscale: type: object properties: 2x: type: object properties: usd: type: number description: USD cost for 2x upscale example: 0.02 diem: type: number description: Diem cost for 2x upscale example: 0.2 required: - usd - diem 4x: type: object properties: usd: type: number description: USD cost for 4x upscale example: 0.08 diem: type: number description: Diem cost for 4x upscale example: 0.8 required: - usd - diem required: - 2x - 4x required: - upscale description: Pricing for image generation and upscaling title: Image Model Pricing - type: object properties: input: type: object properties: usd: type: number description: USD cost per million input characters example: 3.5 diem: type: number description: Diem cost per million input characters example: 35 required: - usd - diem required: - input description: Pricing for TTS models title: TTS Model Pricing - type: object properties: per_audio_second: type: object properties: usd: type: number description: USD cost per audio second example: 0.0001 diem: type: number description: Diem cost per audio second example: 0.0001 required: - usd - diem required: - per_audio_second description: Pricing for ASR (speech-to-text) models title: ASR Model Pricing - type: object properties: inpaint: type: object properties: usd: type: number description: USD cost per image edit/inpaint operation example: 0.04 diem: type: number description: Diem cost per image edit/inpaint operation example: 0.04 required: - usd - diem resolutions: type: object additionalProperties: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem description: >- Resolution-specific pricing. Keys are resolution tiers (e.g. "1K", "2K", "4K"). Only present for inpaint models that support resolution selection. example: 1K: usd: 0.36 diem: 0.36 2K: usd: 0.53 diem: 0.53 4K: usd: 0.85 diem: 0.85 quality: type: object additionalProperties: type: object properties: low: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem medium: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem high: type: object properties: usd: type: number description: USD cost for this resolution example: 0.18 diem: type: number description: Diem cost for this resolution example: 0.18 required: - usd - diem description: >- Per-(resolution, quality) pricing. Only present for models that accept the `quality` request parameter (currently GPT Image 2 / GPT Image 2 Edit). example: 1K: high: usd: 0.27 diem: 0.27 low: usd: 0.02 diem: 0.02 medium: usd: 0.07 diem: 0.07 2K: high: usd: 0.5 diem: 0.5 low: usd: 0.03 diem: 0.03 medium: usd: 0.13 diem: 0.13 4K: high: usd: 0.83 diem: 0.83 low: usd: 0.05 diem: 0.05 medium: usd: 0.21 diem: 0.21 required: - inpaint description: Pricing for image editing/inpainting models title: Inpaint Model Pricing - type: object properties: generation: type: object properties: usd: type: number description: USD cost per music generation example: 0.02 diem: type: number description: Diem cost per music generation example: 0.02 required: - usd - diem required: - generation - type: object properties: durations: type: object additionalProperties: type: object properties: usd: type: number description: USD cost for this duration tier example: 0.87 diem: type: number description: Diem cost for this duration tier example: 0.87 min_seconds: type: number description: >- Minimum duration (inclusive) in seconds that falls into this pricing tier example: 1 max_seconds: type: number description: >- Maximum duration (inclusive) in seconds that falls into this pricing tier example: 60 required: - usd - diem - min_seconds - max_seconds required: - durations - type: object properties: per_second: type: object properties: usd: type: number description: USD cost per second of generated music example: 0.005 diem: type: number description: Diem cost per second of generated music example: 0.005 required: - usd - diem required: - per_second - type: object properties: per_thousand_characters: type: object properties: usd: type: number description: USD cost per thousand characters example: 0.01 diem: type: number description: Diem cost per thousand characters example: 0.01 required: - usd - diem required: - per_thousand_characters description: Pricing details for the model traits: type: array items: type: string description: >- Traits that apply to this model. You can specify a trait to auto-select a model vs. specifying the model ID in your request to avoid breakage as Venice updates and iterates on its models. example: - default_code embeddingDimensions: type: number description: >- The native/default number of dimensions in the output embedding vector. Only present for embedding models. example: 1024 maxInputTokens: type: number description: >- Maximum number of input tokens the model accepts per input string. Only present for embedding models. example: 8192 supportsCustomDimensions: type: boolean description: >- Whether the model supports reducing output dimensions via the `dimensions` request parameter. Only present for embedding models that support it. example: true supports_lyrics: type: boolean description: Whether this audio-generation model supports lyrics input. example: true lyrics_required: type: boolean description: >- Whether lyrics input is required for this audio-generation model. example: false supports_force_instrumental: type: boolean description: >- Whether this audio-generation model supports the force_instrumental request parameter. example: true voices: type: array items: type: string description: >- The voices available for this model. Applicable for TTS models and voice-enabled music models. Note: each model has its own set of supported voices. example: - Achernar - Achird - Aiden - Alex - Algenib voice_cloning: type: object properties: mode: type: string enum: - zero_shot - persistent description: >- How the upstream provider implements voice cloning. `zero_shot` re-reads the reference audio on every synthesis call and never derives a persistent voice template (e.g. Chatterbox HD). `persistent` derives a custom voice template upstream that survives across synthesis calls (e.g. MiniMax Speech-02 HD). example: zero_shot accepted_formats: type: array items: type: string description: >- Audio container formats this model accepts as a reference sample on POST /v1/audio/voices. Samples in other containers are rejected with HTTP 400 before any upload. example: - mp3 - wav - flac - mp4 min_sample_seconds: type: number description: >- Recommended minimum length of the reference audio sample, in seconds, for an intelligible clone. example: 5 retention_days: type: number description: >- Days a `vv_` voice handle remains valid against this model. For `persistent` models the upstream provider auto-deletes the cloned voice after this many days without use; each successful TTS request resets the window. For `zero_shot` models this is the storage TTL on the uploaded reference audio; the handle stops working when it expires and the user must re-upload. example: 7 required: - mode - accepted_formats - min_sample_seconds - retention_days additionalProperties: false description: >- Voice-cloning capability. Only present for TTS models whose cloning endpoint is publicly available — pass the model to POST /v1/audio/voices to mint a `vv_` voice handle, then pass that handle back as the `voice` parameter on POST /v1/audio/speech alongside the same `model`. Models with cloning gated behind a private alpha (e.g. MiniMax during the biometric-data legal review) omit this field for non-staff callers; the model itself still appears in the listing. title: TTS Voice Cloning default_voice: type: string description: Default voice for voice-enabled music models. example: Aria supports_language_code: type: boolean description: >- Whether this music model supports an ISO 639-1 language_code parameter. example: true supports_speed: type: boolean description: Whether this music model supports speed adjustment. example: true default_speed: type: number description: Default speed multiplier for this music model. example: 1 min_speed: type: number description: Minimum speed multiplier for this music model. example: 0.25 max_speed: type: number description: Maximum speed multiplier for this music model. example: 4 duration_options: type: array items: type: number description: Available duration options in seconds for this music model. example: - 60 - 120 - 180 - 240 min_duration: type: number description: Minimum duration in seconds for this music model. example: 60 max_duration: type: number description: Maximum duration in seconds for this music model. example: 240 default_duration: type: number description: Default duration in seconds for this music model. example: 60 supported_formats: type: array items: type: string description: Supported audio formats for this music model. example: - mp3 - wav default_format: type: string description: Default audio format for this music model. example: mp3 prompt_character_limit: type: number description: Maximum prompt character limit for this music model. example: 500 min_prompt_length: type: number description: Minimum prompt length for this music model. example: 1 lyrics_character_limit: type: number description: Maximum lyrics character limit for this music model. example: 3000 required: - privacy object: type: string enum: - model description: Object type example: model owned_by: type: string enum: - venice.ai description: Who runs the model example: venice.ai type: type: string enum: - asr - embedding - image - music - text - tts - upscale - inpaint - video description: Model type example: text required: - id - model_spec - object - owned_by - type description: Response schema for model information example: created: 1727966436 id: llama-3.2-3b model_spec: availableContextTokens: 131072 capabilities: optimizedForCode: false quantization: fp16 supportsAudioInput: false supportsFunctionCalling: true supportsLogProbs: true supportsMultipleImages: false supportsReasoning: false supportsReasoningEffort: false supportsResponseSchema: true supportsTeeAttestation: false supportsE2EE: false supportsVision: false supportsVideoInput: false supportsWebSearch: true supportsXSearch: false constraints: temperature: default: 0.8 top_p: default: 0.9 description: >- Compact and efficient model for quick responses and lighter workloads. name: Llama 3.2 3B modelSource: https://huggingface.co/meta-llama/Llama-3.2-3B offline: false privacy: private pricing: input: usd: 0.15 diem: 0.15 output: usd: 0.6 diem: 0.6 traits: - fastest object: model owned_by: venice.ai type: text StandardError: type: object properties: error: type: string description: A description of the error required: - error securitySchemes: BearerAuth: bearerFormat: JWT scheme: bearer type: http ````