---

name: venice-models description: Explore Venice AI's available models - LLMs, image generators, video, TTS, ASR, and embeddings. View capabilities, pricing, and constraints. homepage: https://venice.ai metadata: { "openclaw": { "emoji": "🔍", "requires": { "bins": ["uv"] }, "install": [ { "id": "uv-brew", "kind": "brew", "formula": "uv", "bins": ["uv"], "label": "Install uv (brew)", }, ], }, }

Venice Models

Explore Venice AI's available models - discover capabilities, pricing, and find the right model for your use case.

API Base URL: https://api.venice.ai/api/v1 No API key required - the models endpoint is public.

---

List Models

uv run {baseDir}/scripts/models.py

Options:

• --type: Filter by model type (default: all)
  • all - All models
  • text - LLMs for chat/completions
  • image - Image generation
  • video - Video generation
  • tts - Text-to-speech
  • asr - Speech recognition
  • embedding - Text embeddings
  • code - Code-optimized LLMs
• --format: Output format: table, json, names (default: table)
• --output: Save to file

---

Examples

List all models:

uv run {baseDir}/scripts/models.py

Image generation models only:

uv run {baseDir}/scripts/models.py --type image

Video models:

uv run {baseDir}/scripts/models.py --type video

Just model names (for scripting):

uv run {baseDir}/scripts/models.py --type text --format names

Export to JSON:

uv run {baseDir}/scripts/models.py --format json --output models.json

---

Model Types

---

Output Formats

Table (default):

MODEL ID                    TYPE    CONTEXT  PRICING
llama-3.3-70b              text    128K     $0.35/M in, $0.40/M out
flux-2-max                 image   -        $0.03/image
openai/whisper-large-v3    asr     -        $0.006/minute

Names only:

llama-3.3-70b
flux-2-max
openai/whisper-large-v3

---

Runtime Note

This skill uses uv run which automatically installs Python dependencies (httpx) via PEP 723 inline script metadata. No manual Python package installation required - uv handles everything.

---

API Reference

Full API docs: docs.venice.ai