Text Models
| Model Name | Model ID | Price (in/out) | Context Limit | Capabilities | Traits |
|---|
| Venice Uncensored 1.1 | venice-uncensored | $0.20 / $0.90 | 32,768 | — | most_uncensored |
| Venice Small | qwen3-4b | $0.05 / $0.15 | 32,768 | Function Calling, Reasoning | — |
| Venice Medium (3.1) | mistral-31-24b | $0.50 / $2.00 | 131,072 | Function Calling, Vision | default_vision |
| Venice Large 1.1 (D) | qwen3-235b | $0.45 / $3.50 | 131,072 | Function Calling, Reasoning | — |
| Qwen 3 235B A22B Thinking 2507 | qwen3-235b-a22b-thinking-2507 | $0.45 / $3.50 | 131,072 | Function Calling, Reasoning | — |
| Qwen 3 235B A22B Instruct 2507 | qwen3-235b-a22b-instruct-2507 | $0.15 / $0.75 | 131,072 | Function Calling | — |
| Llama 3.2 3B | llama-3.2-3b | $0.15 / $0.60 | 131,072 | Function Calling | fastest |
| Llama 3.3 70B | llama-3.3-70b | $0.70 / $2.80 | 131,072 | Function Calling | default, function_calling_default |
| Qwen 3 Coder 480B | qwen3-coder-480b-a35b-instruct | $0.75 / $3.00 | 262,144 | Function Calling | default_code |
| GLM 4.6 | zai-org-glm-4.6 | $0.85 / $2.75 | 202,752 | Function Calling | — |
enable_web_search or enable_web_scraping, see search pricing details.
Model Change Notice: Starting December 14, 2025, qwen3-235b will be deprecated and calls will automatically route to qwen3-235b-a22b-thinking-2507.The disable_thinking parameter will be ignored. For non-thinking behavior, use qwen3-235b-a22b-instruct-2507 directly. Learn more about model changes. Popular Text Models
zai-org-glm-4.6 GLM 4.6 - High-intelligence flagship model
mistral-31-24b Venice Medium (3.1) - Vision + function calling
qwen3-4b Venice Small - Fast, affordable for most tasks
qwen3-235b-a22b-thinking-2507 Qwen 3 235B A22B Thinking - Advanced reasoning with thinking
Text Model Categories
Reasoning Models
qwen3-235b-a22b-thinking-2507 Qwen 3 235B A22B Thinking - Advanced reasoning with thinking
qwen3-4b Venice Small - Efficient reasoning model
Vision-Capable Models
mistral-31-24b Venice Medium (3.1) - Vision-capable model
google-gemma-3-27b-it Google Gemma 3 27B (beta)
Cost-Optimized Models
qwen3-4b Venice Small - Best balance of speed and cost
llama-3.2-3b Llama 3.2 3B - Fastest for simple tasks
qwen3-235b-a22b-instruct-2507 Qwen 3 235B A22B Instruct - Optimized high-performance
Uncensored Models
venice-uncensored Venice Uncensored 1.1 - No content filtering
High-Intelligence Models
qwen3-235b-a22b-thinking-2507 Qwen 3 235B A22B Thinking - Most powerful flagship model
zai-org-glm-4.6 GLM 4.6 - High-intelligence alternative
deepseek-ai-DeepSeek-R1 DeepSeek R1 (beta) - Advanced reasoning model
llama-3.3-70b Llama 3.3 70B - Balanced high-intelligence
Beta Models
| Model Name | Model ID | Price (in/out) | Context Limit | Capabilities | Traits |
|---|
| OpenAI GPT OSS 120B | openai-gpt-oss-120b | $0.07 / $0.30 | 131,072 | Function Calling | — |
| Google Gemma 3 27B Instruct | google-gemma-3-27b-it | $0.12 / $0.20 | 202,752 | Function Calling, Vision | — |
| Qwen 3 Next 80B | qwen3-next-80b | $0.35 / $1.90 | 262,144 | Function Calling | — |
| DeepSeek R1 | deepseek-ai-DeepSeek-R1 | $0.85 / $2.75 | 131,072 | Function Calling | — |
| Hermes 3 Llama 3.1 405B | hermes-3-llama-3.1-405b | $1.10 / $3.00 | 131,072 | — | — |
Beta models are experimental and not recommended for production use. These models may be changed, removed, or replaced at any time without notice. Use them for testing and evaluation purposes only. For production applications, use the stable models listed above.
Image Models
| Model Name | Model ID | Price | Model Source | Traits |
|---|
| Venice SD35 | venice-sd35 | $0.01 | Stable Diffusion 3.5 Large | default, eliza-default |
| HiDream | hidream | $0.01 | HiDream I1 Dev | — |
| Qwen Image | qwen-image | $0.01 | Qwen Image | — |
| Lustify SDXL | lustify-sdxl | $0.01 | Lustify SDXL | — |
| Lustify v7 | lustify-v7 | $0.01 | Lustify v7 | — |
| Anime (WAI) | wai-Illustrious | $0.01 | WAI-Illustrious | — |
Popular Image Models
qwen-image Qwen Image - Highest quality image generation
venice-sd35 Venice SD35 - Default choice with Eliza integration
lustify-sdxl Lustify SDXL - Uncensored image generation
hidream HiDream - Production-ready generation
Image Model Categories
High-Quality Models
qwen-image Qwen Image - Highest quality output
hidream HiDream - Production-ready generation
Default Models
venice-sd35 Venice SD35 - Default choice, Eliza-optimized
Special Purpose Models
lustify-sdxl Lustify SDXL - Adult content generation
lustify-v7 Lustify v7 - Adult content generation
wai-Illustrious Anime (WAI) - Anime-style generation
Audio Models
Text-to-Speech Models
tts-kokoro Kokoro TTS - 60+ multilingual voices for natural speech
| Model Name | Model ID | Price | Voices Available | Model Source |
|---|
| Kokoro Text to Speech | tts-kokoro | $3.50 per 1M chars | 60+ voices | Kokoro-82M |
The tts-kokoro model supports a wide range of multilingual and stylistic voices (including af_nova, am_liam, bf_emma, zf_xiaobei, and jm_kumo). Voice is selected using the voice parameter in the request payload.
Embedding Models
text-embedding-bge-m3 BGE-M3 - Versatile embedding model for text similarity
| Model Name | Model ID | Price | Model Source |
|---|
| BGE-M3 | text-embedding-bge-m3 | $0.15 / $0.60 per 1M tokens | KimChen/bge-m3-GGUF |
Image Processing Models
upscaler Image Upscaler - Enhance image resolution up to 4x
qwen-image Qwen Image - Multimodal image editing model
Image Upscaler
| Model Name | Model ID | Price | Upscale Options |
|---|
| Upscaler | upscaler | $0.01 | 2x ($0.02), 4x ($0.08) |
Image Editing (Inpaint)
| Model Name | Model ID | Price | Model Source | Traits |
|---|
| Qwen Image | qwen-image | $0.04 | Qwen Image | specialized_editing |
Model Features
- Vision: Ability to process and understand images
- Reasoning: Advanced logical reasoning capabilities
- Function Calling: Support for calling external functions and tools
- Traits: Special characteristics or optimizations (e.g., fastest, most_intelligent, most_uncensored)
Usage Notes
- Input pricing refers to tokens sent to the model
- Output pricing refers to tokens generated by the model
- Context limits define the maximum number of tokens the model can process in a single request
- (D) Scheduled for deprecation. For timelines and migration guidance, see the Deprecation Tracker.
