Open Source AI Models

24 open-source and open-weight AI models ranked by quality. These models can be self-hosted, fine-tuned, and deployed without vendor lock-in.

24

Open Source Models

15

Language Models

9

Providers

8

Free to Use

Open Source Language Models

# Model Quality API Price
1 Qwen3 235B A22B Alibaba 87.0 $0.46 / $1.82
2 DeepSeek V3.2 DeepSeek 86.0 $0.20 / $0.77
3 Mistral Large Mistral 86.0 $2.00 / $6.00
4 DeepSeek R1 DeepSeek 85.0 $0.70 / $2.50
5 Command A Cohere 82.0 $2.50 / $10.00
6 Command R+ (08-2024) Cohere 79.0 $2.50 / $10.00
7 Llama 3.3 70B Instruct Meta 79.0 $0.10 / $0.32
8 QwQ 32B Alibaba 78.0 $0.15 / $0.58
9 DeepSeek V3 DeepSeek 76.0 $0.32 / $0.89
10 Mistral Small 3.1 24B Mistral 76.0 $0.35 / $0.56
11 Llama 4 Maverick Meta 75.0 $0.15 / $0.60
12 Command R (08-2024) Cohere 73.0 $0.15 / $0.60
13 Mistral Nemo Mistral 72.0 $0.02 / $0.04
14 Qwen2.5 72B Instruct Alibaba 71.0 $0.12 / $0.39
15 Command R7B (12-2024) Cohere 65.0 $0.04 / $0.15

What does "Open Source" mean for AI?

Open-source AI models publish their model weights, allowing anyone to download, run, fine-tune, and deploy them. Some models (like Meta's Llama) use custom licences with usage restrictions, while others (like Mistral and some DeepSeek models) use fully permissive licences. "Open weight" is technically more accurate for models that share weights but not training data or code, though "open source" is commonly used.