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.
| Llama-3.2-11B-Vision-Instruct Meta | — | 128K | — | — | — |
| Llama-3.2-1B Meta | — | 131.07K | — | — | — |
| Llama-3.2-3B Meta | — | 131.07K | — | — | — |
| meta-llama/Llama-3.2-1B-Instruct meta-llama | 0.0 | — | — | — | — |
| Pixtral 12B Mistral AI | 41.9 | 128K | $0.15 | $0.15 | — |
| Qwen/Qwen2.5-14B-Instruct Qwen | 31.0 | 131.07K | $0.35 | $1.40 | — |
| Qwen/Qwen2.5-7B-Instruct Qwen | 31.0 | 131.07K | $0.175 | $0.70 | — |
| Qwen/Qwen2.5-VL-7B-Instruct Qwen | 36.0 | 131.07K | $0.35 | $1.05 | — |
| Command R Cohere | 29.4 | 128K | $0.15 | $0.60 | — |
| Command R+ Cohere | 29.4 | 128K | $2.50 | $10.00 | — |
| Llama 3.1 Euryale 70B v2.2 sao10k | — | 131.07K | — | — | — |
| Nemotron Mini 4B Instruct NVIDIA | 30.9 | 128K | $0.00 | $0.00 | — |
| Hermes 3 70B Instruct nousresearch | — | 131.07K | — | — | — |
| Hermes 3 405B Instruct nousresearch | — | 131.07K | — | — | — |
| Llama 3 8B Lunaris sao10k | — | 8.19K | — | — | — |
| GPT-4o (2024-08-06) OpenAI | 42.3 | 128K | $2.50 | $10.00 | — |
| BAAI/bge-multilingual-gemma2 BAAI | 10.5 | 8K | $0.08 | $0.00 | — |
| Llama 3.1 405B Meta | 34.2 | 128K | $3.50 | $3.50 | 30 t/s |
| Llama-3.1-70B-Instruct Meta | — | 128K | — | — | — |
| Llama-Guard-3-8B Meta | — | 128K | — | — | — |
| meta-llama/Llama-3.1-8B-Instruct meta-llama | 22.3 | 16.38K | $0.02 | $0.05 | — |
| GPT-4o mini OpenAI | 47.2 | 128K | $0.15 | $0.60 | — |
| Gemma 2 27B Google | — | 8.19K | — | — | — |
| Mistral Nemo Mistral AI | 36.6 | 128K | $0.15 | $0.15 | — |
| o3-deep-research OpenAI | 58.2 | 200K | $9.00 | $36.00 | — |
| o4-mini-deep-research OpenAI | 58.2 | 200K | $1.80 | $7.20 | — |
| Codestral (latest) Mistral AI | 32.3 | 256K | $0.30 | $0.90 | — |
| Codestral-22B-v0.1 Mistral AI | — | 32.77K | — | — | — |
| Vision Large Vispark | — | 1M | — | — | — |
| Vision Medium Vispark | — | 1M | — | — | — |
| Vision Small Vispark | — | 1M | — | — | — |
| Gemini 1.5 Pro Google | 63.6 | 2M | $1.25 | $5.00 | 65 t/s |
| GPT-4o OpenAI | 46.8 | 128K | $2.50 | $10.00 | 110 t/s |
| GPT-4o OpenAI | 46.8 | 128K | $2.50 | $10.00 | — |
| GPT-4o (2024-05-13) OpenAI | 38.8 | 128K | $5.00 | $15.00 | — |
| Hermes 2 Pro Llama 3 8B nousresearch | — | 8.19K | — | — | — |
| Mixtral 8x22B Instruct Mistral AI | — | 65.54K | — | — | — |
| WizardLM 2 8x22B Microsoft | — | 65.54K | — | — | — |
| Qwen-VL Max Alibaba | 35.2 | 131.07K | $0.80 | $3.20 | — |
| Qwen Max Alibaba | 23.5 | 32.77K | $1.60 | $6.40 | — |
| Alibaba-NLP/gte-large-en-v1.5 Alibaba-NLP | 8.7 | 8.19K | $0.09 | $0.00 | — |
| Claude Haiku 3 Anthropic | 40.6 | 200K | $0.25 | $1.25 | — |
| BAAI/bge-reranker-v2-m3 BAAI | 8.7 | 8.19K | $0.01 | $0.00 | — |
| Mistral Large Mistral AI | — | 128K | — | — | — |
| BAAI/bge-m3 BAAI | 8.5 | 8.19K | $0.02 | $0.00 | — |
| Qwen Plus Alibaba | 57.7 | 1M | $0.40 | $1.20 | — |
| Qwen-VL Plus Alibaba | 34.9 | 131.07K | $0.21 | $0.63 | — |
| Sonar Perplexity | 18.3 | 128K | $1.00 | $1.00 | — |
| Sonar Pro Perplexity | 26.9 | 200K | $3.00 | $15.00 | — |
| Sonar Reasoning Pro Perplexity | 38.3 | 128K | $2.00 | $8.00 | — |
| Mistral Embed Mistral AI | — | 8K | — | — | — |
| GPT-4 OpenAI | 16.5 | 8.19K | $30.00 | $60.00 | — |
| GPT-4 Turbo OpenAI | 33.3 | 128K | $10.00 | $30.00 | — |
| openai/whisper-large-v3 openai | 6.6 | — | $0.00 | $0.00 | — |
| MythoMax L2 13B gryphe | — | 4.1K | — | — | — |
| Weaver (alpha) mancer | — | 8K | — | — | — |
| ReMM SLERP 13B undi95 | — | 6.14K | — | — | — |
| intfloat/e5-large-v2 intfloat | 5.0 | 512 | $0.02 | $0.00 | — |
| GPT-3.5-turbo OpenAI | 8.4 | 16.39K | $0.50 | $1.50 | — |
| sentence-transformers/multi-qa-mpnet-base-dot-v1 sentence-transformers | 5.0 | 512 | $0.009 | $0.00 | — |
541–600 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.