The SyncDev models directory
Find the right model for the work you need to do. Explore 3,077 profiles, from hosted language models to image, audio and video generators and downloadable checkpoints.
Start with our shortlist, search a model family, or filter by task and deployment. Prices apply to the listed route; a dash means a figure is not recorded.
| Wan-AI/Wan2.2-T2V-A14B Wan-AI | 7.9 | 100 | $0.60 | $0.00 | — |
| Llama 3.3 Nemotron Super 49B v1.5 NVIDIA | 53.9 | 131.07K | $0.00 | $0.00 | — |
| Qwen MT Plus Alibaba | — | 16.38K | — | — | — |
| Qwen3 Coder Plus Alibaba | 47.4 | 1.05M | $1.00 | $5.00 | — |
| Qwen3 235B-A22B Instruct 2507 Alibaba | — | 262.14K | — | — | — |
| mistralai/Voxtral-Small-24B-2507 mistralai | 32.6 | 32.77K | $0.228 | $0.513 | — |
| Voxtral Mini 3B 2507 Mistral AI | — | 32.77K | — | — | — |
| Voxtral Small (latest) Mistral AI | — | 32K | — | — | — |
| Kimi K2 Instruct Moonshot AI | — | 131.07K | — | — | — |
| Devstral Medium Mistral AI | 38.6 | 128K | $0.40 | $2.00 | — |
| Devstral Small Mistral AI | 38.6 | 128K | $0.10 | $0.30 | — |
| Grok 4 Xai via Requesty | 67.0 | 256K | $3.00 | $15.00 | — |
| Uncensored cognitivecomputations | — | 128K | — | — | — |
| Morph V3 Fast Morph | — | 81.92K | — | — | — |
| Morph V3 Large Morph | — | 262.14K | — | — | — |
| Jamba Large AI21 | — | 256K | — | — | — |
| ERNIE 4.5 21B A3B Baidu (ERNIE) | 0.0 | — | — | — | — |
| ERNIE 4.5 VL 424B A47B baidu | — | 123K | — | — | — |
| Mistral Small 3.2 Mistral AI | 39.0 | 128K | $0.10 | $0.30 | — |
| Gemini 2.5 Flash Google | 87.2 | 1.05M | $0.30 | $2.50 | — |
| Gemini 2.5 Flash-Lite Google | 87.2 | 1.05M | $0.10 | $0.40 | — |
| Gemini 2.5 Pro Google | 87.2 | 1.05M | $1.25 | $10.00 | — |
| MiniMax M1 80K MiniMax | — | 1M | — | — | — |
| Mistral Nemotron NVIDIA | 32.5 | 128K | — | — | — |
| Magistral Small Mistral AI | — | 131.07K | — | — | — |
| o3-pro OpenAI | 65.1 | 200K | $20.00 | $80.00 | — |
| Qwen/Qwen3-Embedding-4B Qwen | 18.2 | 32K | $0.00 | $0.00 | — |
| Gemini 2.5 Pro Preview 06-05 Google | — | 1.05M | — | — | — |
| Qwen/Qwen3-Reranker-8B Qwen | 5.0 | — | — | — | — |
| Qwen/Qwen3-Embedding-0.6B Qwen | 11.0 | 8K | $0.04 | $0.00 | — |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | — | 131.07K | — | — | — |
| DeepSeek R1 0528 DeepSeek | — | 163.84K | — | — | — |
| Claude Opus 4 Anthropic | 62.5 | 200K | $15.00 | $75.00 | — |
| Claude Opus 4 (latest) Anthropic | 62.5 | 200K | — | — | — |
| Claude Sonnet 4 Anthropic | 64.0 | 200K | $3.00 | $15.00 | — |
| Claude Sonnet 4 (latest) Anthropic | 64.0 | 200K | — | — | — |
| Gemini Embedding 001 Google | 2.6 | 2.05K | $0.15 | $0.00 | — |
| Solar Pro 2 Upstage | — | 65.54K | — | — | — |
| Mistral Medium 3 Mistral AI | 43.4 | 131.07K | $0.40 | $2.00 | — |
| Nova Premier Amazon | — | 1M | — | — | — |
| Qwen/Qwen3-30B-A3B Qwen | 32.2 | 128K | $0.11 | $1.08 | — |
| Palmyra X5 Writer | — | 1M | — | — | — |
| GPT-Image-1 OpenAI | 12.4 | — | — | — | — |
| o3 OpenAI | 69.8 | 200K | $2.00 | $8.00 | — |
| o4-mini OpenAI | 64.8 | 200K | $1.10 | $4.40 | — |
| Llama 3.1 Nemotron 70B Instruct NVIDIA | 32.2 | 128K | $0.00 | $0.00 | — |
| GPT-4.1 OpenAI | 60.3 | 1.05M | $2.00 | $8.00 | — |
| GPT-4.1 mini OpenAI | 60.3 | 1.05M | $0.40 | $1.60 | — |
| GPT-4.1 nano OpenAI | 55.3 | 1.05M | $0.10 | $0.40 | — |
| Grok 3 Xai via Requesty | 37.3 | 131.07K | $5.00 | $25.00 | — |
| Grok 3 Mini Xai via Requesty | 52.3 | 131.07K | $0.30 | $0.50 | — |
| Pixtral Large (25.02) Mistral AI | — | 128K | — | — | — |
| Llama 3.1 Nemotron Ultra 253B NVIDIA | 47.1 | 128K | $0.60 | $1.80 | — |
| Llama 3.3 Nemotron Super 49B v1 NVIDIA | 53.3 | 131.07K | $0.00 | $0.00 | — |
| Llama 4 Scout 17B Instruct Meta | 51.9 | 10M | $0.18 | $0.59 | — |
| Qwen/Qwen3-14B Qwen | 47.2 | 131.07K | $0.35 | $1.40 | — |
| Qwen/Qwen3-32B Qwen | 43.1 | 40.96K | $0.10 | $0.30 | — |
| Qwen/Qwen3-8B Qwen | 47.2 | 131.07K | $0.18 | $0.70 | — |
| DeepSeek V3 0324 DeepSeek | — | 163.84K | — | — | — |
| o1-pro OpenAI | 64.6 | 200K | $150.00 | $600.00 | — |
421–480 of 3077 models · select a column to sort
About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.