Olmo 3.1 32B
Largest fully open model here. Data and code are public. Nothing up its sleeve.
Ranking
Models with standard open source licenses and no company-size caps.
How we picked
We only list models under Apache 2.0 or MIT. These have no user caps or revenue caps. Still read the license and keep the notice files.
| Model | Maker | Trust | Quality | RAM needed | Business | Sign-up |
|---|---|---|---|---|---|---|
| Olmo 3.1 32B | Ai2 | 100 | Very strong | 26 GB | Yes | No |
| OLMo 2 32B | Ai2 | 100 | Very strong | 26 GB | Yes | No |
| Olmo 3 7B | Ai2 | 100 | Good | 8 GB | Yes | No |
| SmolLM3 3B | Hugging Face | 100 | Basic | 5 GB | Yes | No |
| GPT-OSS 120B | OpenAI | 84 | Top home tier | 87 GB | Yes | No |
| GLM-4.5 Air | Z.ai | 84 | Top home tier | 82 GB | Yes | No |
| Qwen3 32B | Alibaba Qwen | 84 | Very strong | 26 GB | Yes | No |
| Granite 4.0 H Small | IBM | 84 | Very strong | 26 GB | Yes | No |
| Qwen3 30B-A3B 2507 | Alibaba Qwen | 84 | Very strong | 24 GB | Yes | No |
| Qwen3 Coder 30B | Alibaba Qwen | 84 | Very strong | 24 GB | Yes | No |
| Qwen3.8 27B | Alibaba Qwen | 84 | Very strong | 23 GB | Yes | No |
| Mistral Small 3.2 | Mistral AI | 84 | Very strong | 20 GB | Yes | No |
| Magistral Small | Mistral AI | 84 | Very strong | 19 GB | Yes | No |
| Devstral Small | Mistral AI | 84 | Very strong | 19 GB | Yes | No |
| GPT-OSS 20B | OpenAI | 84 | Very strong | 17 GB | Yes | No |
| Qwen3 14B | Alibaba Qwen | 84 | Strong | 13 GB | Yes | No |
| DeepSeek R1 Distill 14B | DeepSeek | 84 | Strong | 13 GB | Yes | No |
| Phi-4 | Microsoft | 84 | Strong | 13 GB | Yes | No |
| Mistral Nemo 12B | Mistral AI | 84 | Strong | 11 GB | Yes | No |
| Gemma 4 12B | 84 | Strong | 11 GB | Yes | No | |
| Qwen3.5 9B | Alibaba Qwen | 84 | Good | 9 GB | Yes | No |
| Qwen2.5 VL 7B | Alibaba Qwen | 84 | Good | 8 GB | Yes | No |
| Qwen3 8B | Alibaba Qwen | 84 | Good | 8 GB | Yes | No |
| DeepSeek R1 0528 8B | DeepSeek | 84 | Good | 8 GB | Yes | No |
| Granite 3.3 8B | IBM | 84 | Good | 8 GB | Yes | No |
| Gemma 4 E4B | 84 | Good | 8 GB | Yes | No | |
| DeepSeek R1 Distill 7B | DeepSeek | 84 | Good | 8 GB | Yes | No |
| Mistral 7B v0.3 | Mistral AI | 84 | Good | 8 GB | Yes | No |
| Granite 4.0 H Tiny | IBM | 84 | Good | 8 GB | Yes | No |
| Qwen3 4B 2507 | Alibaba Qwen | 84 | Good | 5 GB | Yes | No |
| Phi-4 mini | Microsoft | 84 | Basic | 5 GB | Yes | No |
| Granite 3.3 2B | IBM | 84 | Basic | 4 GB | Yes | No |
Largest fully open model here. Data and code are public. Nothing up its sleeve.
Earlier fully open model. Brilliant and honest, but forgets what you said a few pages back.
Fully open chat model. Data and code are public. Fits on the laptop you already own, if it has 8 GB.
Small, fully open, training data mix is public. Also has the cutest name on this list.
Hard reasoning and agent tasks on a high-end workstation. Plan on a 128 GB machine. Your laptop just flinched.
Strong agent and coding work. It is called Air and it wants a 128 GB machine. Someone in naming has jokes.
Rankings use our published method and change when facts change. Nobody paid to be listed.