Venice Models

Three read-only endpoints for model discovery - all GET, all public:

Endpoint	Returns
/models	Model catalog with model_spec (capabilities, constraints, pricing).
/models/traits	Trait → model ID map (e.g. default, default_reasoning, highest_quality).
/models/compatibility_mapping	Legacy / third-party model ID → Venice model ID aliases.

Auth is optional. These routes need no API key, so a plain curl works. If you send Authorization: Bearer $VENICE_API_KEY the result is tailored to that caller: a key's modelPrivacy setting filters the list, beta-flagged accounts also see beta models, and partner accounts see their negotiated rates. An invalid key is not rejected - you just get the public view.

?type= values (default text when omitted):

Value	/models	/models/traits	/models/compatibility_mapping
text, image, video, music, tts, asr, embedding, upscale, inpaint, decision	yes	yes	yes
all (every type)	yes	yes	400
code (text models with capabilities.optimizedForCode: true)	yes	yes	400

Anything else returns 400 { "error": "Invalid request parameters", "details": …, "issues": … }.

music includes long-form audio (songs, sound effects, ElevenLabs narration models) and any voice-changer models. decision lists the typed-judgment models used by POST /decisions (today: jev-latest, flagged betaModel: true) - see venice-decisions.

Use when

• You need to pick a model at runtime based on capabilities (vision, reasoning, function calling, E2EE, X search, multi-image, …).
• You need to validate a request against a model's constraints (prompt length, aspect ratio, resolution, steps, durations).
• You need the current price per million tokens / per image / per second / per million characters to build a cost estimate.
• You want to resolve a trait (default, default_reasoning, highest_quality) or a legacy alias (gpt-4o) to a concrete Venice model ID.

GET /models

curl "https://api.venice.ai/api/v1/models?type=text"

{
  "object": "list",
  "type": "text",
  "data": [
    {
      "id": "zai-org-glm-5-2",
      "object": "model",
      "owned_by": "venice.ai",
      "type": "text",
      "created": 1781568000,
      "context_length": 1000000,
      "model_spec": {
        "name": "GLM 5.2",
        "description": "GLM-5.2 is the next-generation large language model…",
        "availableContextTokens": 1000000,
        "maxCompletionTokens": 131072,
        "privacy": "private",
        "modelSource": "https://huggingface.co/zai-org/GLM-5.2",
        "offline": false,
        "traits": ["default", "function_calling_default"],
        "capabilities": { "supportsReasoning": true, "reasoningEffortOptions": ["none", "high", "max"], "…": "…" },
        "pricing": {
          "input":       { "usd": 1.4,  "diem": 1.4 },
          "cache_input": { "usd": 0.26, "diem": 0.26 },
          "output":      { "usd": 4.4,  "diem": 4.4 }
        }
      }
    }
  ]
}

Top-level ModelResponse fields

Field	Notes
id	The model ID to send as model.
object / owned_by	Always "model" / "venice.ai".
type	One of the 10 model types above.
created	Unix seconds - release date on the Venice API.
context_length	Text models only. OpenAI-compatible mirror of model_spec.availableContextTokens.
discount_to_user	Reseller-only (0 < x < 1). Returned only to the reselling partner whose agreement it belongs to and omitted for other callers - treat absent as no discount.
model_spec	Everything below.

model_spec - common fields

Field	Use
name, description, modelSource	Display name, blurb, upstream URL (description / modelSource may be absent).
privacy	private (zero data retention) or anonymized (third-party provider; not tied to your identity).
offline	true ⇒ requests return 503 "The model is temporarily offline". Skip it.
traits	Trait names this model currently holds (may be []).
uncensored	Present and true only for models Venice classifies as uncensored (all modalities). Absent otherwise - never false. Upstream providers may still filter.
betaModel	Model is in beta status (still callable).
beta	Model is restricted to beta-access accounts. Only appears in lists returned to such accounts.
regionRestrictions	Country codes where the model is blocked (the OpenAPI description reads "intended to be available", but requests are rejected from the listed countries). Those requests get 403 "The specified model is unavailable in …". Absent on unrestricted models.
deprecation	{ autoRemap, date, removesAt, replacementModelId?, startsAt? } - present only when retirement is scheduled. The model drops out of /models at removesAt; autoRemap: true means Venice may remap requests for this ID to replacementModelId instead of returning an error.
model_sets	Text, image and video only. Curation tags such as venice_recommendations, featured, and for video audio, uncensored, high_resolution, fast, … (served live but not declared in the OpenAPI schema).

model_spec.capabilities - text models

Flag	Meaning
optimizedForCode	Tuned for coding tasks (drives ?type=code).
quantization	fp4 / fp8 / fp16 / bf16 / int8 / int4 / not-available.
supportsFunctionCalling	tools are allowed.
supportsResponseSchema	Honors response_format: { type: "json_schema" }.
supportsReasoning	Model emits reasoning.
supportsReasoningEffort	Honors reasoning_effort / reasoning.effort. When true, also reasoningEffortOptions (subset of none, minimal, low, medium, high, xhigh, max - none means reasoning can be turned off) and defaultReasoningEffort.
supportsVision	Accepts image_url parts.
supportsMultipleImages + maxImages	More than one image per request; maxImages is the model's advertised limit. Chat hard-caps every model at 10 images per message.
supportsVideoInput + maxVideos	Accepts video_url parts; maxVideos present on some models.
supportsAudioInput	Accepts input_audio parts.
supportsWebSearch	venice_parameters.enable_web_search - currently true on every text model.
supportsXSearch	xAI native web + X search via venice_parameters.enable_x_search.
supportsLogProbs	Honors logprobs / top_logprobs.
supportsTeeAttestation	Runs in a TEE; verify with GET /tee/attestation / /tee/signature.
supportsE2EE	End-to-end encrypted inference (requires TEE).

model_spec.constraints and type-specific fields

• Text - constraints is optional (only a handful of models carry it): temperature.default, top_p.default, optional {frequency,presence,repetition}_penalty.default.
• Image - constraints: promptCharacterLimit, widthHeightDivisor, steps.{default,max}, optional aspectRatios[] + defaultAspectRatio, optional resolutions[] + defaultResolution, optional qualities[] + defaultQuality (models that accept quality), optional maxStyleReferences + supportsStyleReferenceStrength. Alongside: supportsStyleReferences, plus supportsWebSearch and supportsOptimizePromptThinking (served live, not in the OpenAPI schema).
• Inpaint / edit - constraints: aspectRatios[], promptCharacterLimit, combineImages, optional maxInputImages, singleImageAspectRatio (if false, single-image edits keep input dimensions and ignore aspect_ratio), optional resolutions[]/defaultResolution, qualities[]/defaultQuality. Alongside: supportsOptimizePromptThinking.
• Video - constraints: model_type (text-to-video / image-to-video / video), aspect_ratios[], resolutions[], durations[] (e.g. "5s"; most upscale and video-to-video models list "Auto", meaning the source length — omit duration for them), audio, audio_configurable, audio_input, per_reference_audio, video_input, optional prompt_character_limit (default 2500), optional reference_image_min_short_side_pixels, reference_image_min_aspect_ratio, reference_image_max_aspect_ratio, and a topaz block (models, sliders, selects, no_upscale_models, h264_output, prompt) on enhancement models only. The audio_input … reference_image_* keys are served live but not declared in the OpenAPI schema.
• TTS (top level of model_spec) - voices[], default_format, supported_formats[] (an explicit format outside this list is rejected), supports_custom_voice_id, and voice_cloning { mode: "zero_shot" | "persistent", accepted_formats[], min_sample_seconds, retention_days } on models whose cloning is open to you (use with POST /audio/voices, see venice-audio-speech). Per-model toggles like prompt / temperature / top_p support are not exposed here - use the per-model table in venice-audio-speech as the support matrix (the published schema text is incomplete).
• Music / audio generation (top level) - supports_lyrics, lyrics_required, supports_force_instrumental, supports_lyrics_optimizer (served live, not in the OpenAPI schema), supports_loop, supports_custom_voice_id, supports_language_code, supports_speed, supported_formats[], default_format, prompt_character_limit, min_prompt_length, optional lyrics_character_limit, duration_options[], min_duration / max_duration / default_duration, voices[] / default_voice, default_speed / min_speed / max_speed.
• Voice changer (music models with voice_changer: true) - adds supports_background_noise_removal, supports_seed, accepted_audio_formats[], max_source_audio_duration_seconds. These run on /audio/voice-changer/*, not /audio/queue - see venice-audio-voice-changer. No voice-changer model is publicly listed today; check ?type=music for voice_changer: true before relying on it.
• Embedding (top level) - embeddingDimensions, maxInputTokens, supportsCustomDimensions (present only when true).
• Decision (top level) - maxStateTokens (state + longest question), maxTotalTokens (state + all questions).
• ASR / upscale - no extra fields beyond the common ones and pricing.

model_spec.pricing - by type

Every price is { usd, diem }; today diem always equals usd. Prices already include any promotional discount active for the calling account (some promos are tier-gated, so anonymous and Pro callers can see different numbers) - quote from the same credentials you will bill with.

• Text / embedding / decision - input and output per 1 000 000 tokens, optional cache_input (cache reads), cache_write (cache creation, e.g. Anthropic), and extended { context_token_threshold, input, output, cache_input?, cache_write? }. When input tokens exceed the threshold, extended rates apply to the entire request.
• Image - generation (flat per image) or resolutions.<1K|2K|4K>; optional quality.<resolution>.<low|medium|high>; always an upscale.{2x,4x} block (the shared upscale price, not a sign that this model upscales, and not promo-discounted).
• Upscale (upscaler) - same shape as image: generation + upscale.{2x,4x}.
• Inpaint / edit - inpaint per edit, optional resolutions.*, optional inputImages { included, additional } (surcharge per input image beyond included), optional quality.*.
• Video - no pricing on /models. Use POST /video/quote (see venice-video).
• Music - exactly one of generation (per job), durations.<ceiling_seconds> { usd, diem, min_seconds, max_seconds }, per_second, or per_thousand_characters. Use POST /audio/quote for the exact price.
• TTS - input per 1 000 000 input characters.
• ASR - per_audio_second.

Crypto RPC pricing is not in /models - see venice-crypto-rpc.

GET /models/traits

curl "https://api.venice.ai/api/v1/models/traits?type=text"

{
  "object": "list",
  "type": "text",
  "data": {
    "default": "zai-org-glm-5-2",
    "function_calling_default": "zai-org-glm-5-2",
    "default_reasoning": "kimi-k3",
    "default_code": "deepseek-v4-pro-0813",
    "default_vision": "qwen-3-8-27b",
    "most_intelligent": "grok-4-7",
    "most_uncensored": "venice-uncensored-1-2"
  }
}

Possible trait keys: default, fastest, most_uncensored, eliza-default (any type), default_code, default_reasoning, default_vision, function_calling_default, most_intelligent (text), highest_quality (image). A key only appears while some model holds it - fastest is currently unassigned for text. Today only text and image (and the all / code filters built from them) return non-empty maps. ?type=all merges every type into one map, so keys shared across types collide - e.g. default resolves to an image model there. The values above are a snapshot; resolve them at runtime.

A trait name can also be sent directly as model (e.g. "model": "default_reasoning") and Venice resolves it per request.

GET /models/compatibility_mapping

curl "https://api.venice.ai/api/v1/models/compatibility_mapping?type=text"

{
  "object": "list",
  "type": "text",
  "data": {
    "gpt-4o": "llama-3.3-70b",
    "gpt-4.1": "qwen3-235b-a22b-instruct-2507",
    "claude-3-5-sonnet-20241022": "llama-3.3-70b",
    "qwen3-235b": "qwen3-235b-a22b-thinking-2507"
  }
}

Keys are legacy OpenAI / Anthropic / older Venice IDs; values are the Venice model each one resolves to. ?type=embedding currently maps text-embedding-ada-002 → text-embedding-bge-m3; other types are empty. Like traits, an alias can be sent directly as model. Useful when porting code that hard-codes old OpenAI IDs - but check the target's capabilities, since the mapping is by ID only.

Common patterns

Pick a vision + reasoning model at runtime

const base = 'https://api.venice.ai/api/v1'
const list = await fetch(`${base}/models?type=text`).then(r => r.json())
const match = list.data.find((m: any) =>
  m.model_spec.capabilities.supportsVision &&
  m.model_spec.capabilities.supportsReasoning &&
  !m.model_spec.offline &&
  !m.model_spec.deprecation
)

Validate an image request before submit

const spec = (await fetch(`${base}/models?type=image`).then(r => r.json()))
  .data.find((m: any) => m.id === myModel)!.model_spec

const { widthHeightDivisor, promptCharacterLimit, aspectRatios } = spec.constraints
if (prompt.length > promptCharacterLimit) throw new Error('prompt too long')
if (width % widthHeightDivisor !== 0) throw new Error('width not divisible')
if (aspectRatios && !aspectRatios.includes(myAspect)) throw new Error('bad aspect')

Estimate LLM cost

// textSpec = model_spec of a text model from /models?type=text
// inputTokens = total prompt tokens, including cachedTokens
const p = textSpec.pricing
const tier = p.extended && inputTokens > p.extended.context_token_threshold ? p.extended : p
const cacheRate = tier.cache_input?.usd ?? tier.input.usd
const cost =
  ((inputTokens - cachedTokens) / 1_000_000) * tier.input.usd +
  (cachedTokens / 1_000_000) * cacheRate +
  (outputTokens / 1_000_000) * tier.output.usd

Cache-write tokens (models with cache_write) are billed at that rate instead of input.

Gotchas

• The catalog changes - cache for minutes, not days. Model IDs in this skill are a snapshot; always confirm against /models.
• Omitting ?type returns text only. Use ?type=all for everything.
• model_spec.pricing is always absent for video and can be absent for any model without a published price - guard against undefined.
• regionRestrictions lists blocked countries, not allowed ones.
• uncensored is omitted rather than false - test with === true.
• Traits and aliases differ by type - there is no global default; always pass ?type=....
• An API key restricted to private models (modelPrivacy: PRIVATE_TEXT / PRIVATE_ONLY) sees a filtered list; unauthenticated calls see everything public.
• Some fields are served live but missing from the OpenAPI ModelResponse schema (model_sets, image supportsWebSearch, image and inpaint supportsOptimizePromptThinking, music supports_lyrics_optimizer, several video constraint keys). Strict generated clients may drop them.