Open-weight models
An open-weight model publishes its trained parameters, so anyone can download and run it on their own hardware - subject to its licence, which may restrict some uses.
"Open weights" is not always the same as open source: the training data and code may not be released, and licences range from permissive (Apache 2.0, MIT) to custom terms with usage limits.
Running a model yourself keeps data private and avoids per-token fees, but needs suitable hardware.
Examples tracked on AI Stats Live
| Tool | Company | Category | From | Free tier | Popularity |
|---|---|---|---|---|---|
| Ollama | Ollama | Local LLM runtimes | — | Yes | #5 |
| Qwen | Alibaba (Qwen) | Open-weight models | — | Unknown | #11 |
| DeepSeek | DeepSeek | General assistants | — | Yes | #12 |
| LM Studio | LM Studio | Local LLM runtimes | — | Yes | #17 |
| Kimi | Moonshot AI | General assistants | — | Unknown | #22 |
| llama.cpp | ggml.ai | Local LLM runtimes | — | Unknown | #25 |
| Gemma | Open-weight models | — | Unknown | #34 | |
| Nemotron | NVIDIA | Open-weight models | — | Unknown | #40 |
| Llama | Meta | Open-weight models | — | Unknown | #47 |
| Stable Diffusion | Stability AI | Image generation | — | Unknown | #56 |
Popularity is measured attention (Wikipedia, Hacker News, package downloads), not quality. Prices are the cheapest paid individual plan; each profile shows whether the price is verified. Data refreshed 1h ago.
Related ranking: Open-weight leaderboard
- 1.Kimi K3 Moonshot AI157.7
- 2.GLM 5.3 Z.ai (Zhipu AI)155.6
- 3.DeepSeek V4 Pro 0813 DeepSeek155.4
- 4.DeepSeek V4.1 Flash DeepSeek155.0
- 5.DeepSeek V4 Flash 0731 DeepSeek154.5
Models whose weights are published, ranked by the Epoch Capabilities Index. Source: Epoch AI. Full ranking
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Explanation written by AI Stats Live editors; last reviewed 29 Sep 2026. Examples and rankings update automatically from the sources listed on the methodology page.