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Open Source AI Models

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

30

Open Source Models

21

Language Models

10

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 Qwen3 Max Alibaba 85.0 $0.78 / $3.90
3 DeepSeek R1 DeepSeek 85.0 $0.70 / $2.50
4 R1 0528 DeepSeek 83.0 $0.50 / $2.15
5 Qwen2.5 Coder 32B Instruct Alibaba 82.0 $0.66 / $1.00
6 Command A Cohere 80.0 $2.50 / $10.00
7 Command R+ (08-2024) Cohere 79.0 $2.50 / $10.00
8 Llama 4 Scout Meta 79.0 $0.08 / $0.30
9 DeepSeek V3.2 DeepSeek 77.0 $0.20 / $0.77
10 Llama 3.1 70B Instruct Meta 77.0 $0.40 / $0.40
11 DeepSeek V3 DeepSeek 76.0 $0.23 / $0.91
12 Llama 4 Maverick Meta 76.0 $0.15 / $0.60
13 Phi 4 Microsoft 74.0 $0.07 / $0.14
14 Command R (08-2024) Cohere 73.0 $0.15 / $0.60
15 Mistral Large Mistral 73.0 $2.00 / $6.00
16 Mistral Nemo Mistral 72.0 $0.02 / $0.03
17 Mistral Small 3.1 24B Mistral 72.0 $0.35 / $0.56
18 Llama 3.3 70B Instruct Meta 71.0 $0.10 / $0.32
19 Qwen2.5 72B Instruct Alibaba 71.0 $0.36 / $0.40
20 Llama 3.1 8B Instruct Meta 68.0 $0.02 / $0.05
21 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.