Open-Source AI Model Ranking 2026: Top 20 by Real GitHub Stars
The top 20 open-source AI models ranked by real GitHub stars from the 2026-07-31 snapshot.
## Open-Source AI Model Ranking 2026
Star counts below come from the ainomam GitHub star tracker snapshot dated 2026-07-31. Stars measure ecosystem momentum, not just model quality.
### The top 20
1. **DeepSeek-V3** - 104,067 stars. Frontier-class open weights.
2. **DeepSeek-R1** - 91,984 stars. Reasoning model, OpenAI-o1 rival.
3. **grok-1** - 52,087 stars. xAI open release.
4. **Qwen2.5** - 27,455 stars. Alibaba's flagship open series.
5. **ChatGLM-6B** - 41,012 stars. Historic Chinese open model.
6. **Qwen2.5-Coder** - 16,752 stars. Code-specialized.
7. **DeepSeek-Coder** - 23,991 stars. Code model pioneer.
8. **meta-llama/llama-models** - 7,664 stars. The Llama reference.
9. **mistralai/mistral-inference** - 10,836 stars. Mistral's inference stack.
10. **google/gemma_pytorch** - 5,721 stars. Google's open small models.
11. **internlm/internlm** - 7,255 stars. Shanghai AI Lab.
12. **01-ai/Yi** - 7,822 stars. 01.AI series.
13. **microsoft/Phi-4** - reference repo. Microsoft's small-model line.
14. **NousResearch/Hermes** - community fine-tunes.
15. **togethercomputer/OpenChat** - 8,985 stars. OpenChat 3.5.
16. **Hugging Face leaderboard models** - community entries.
17. **nomic-ai/gpt4all** - 77,402 stars. Local model ecosystem.
18. **lm-sys/FastChat** - 39,507 stars. Vicuna and serving.
19. **oobabooga/text-generation-webui** - 47,507 stars. Local model hub.
20. **ollama library models** - 177,426 stars. The distribution layer.
### How to use this ranking
Stars tell you which ecosystem is healthy, not which model is best for your task. Cross-reference with the Hugging Face Open LLM Leaderboard for quality.
### FAQ
**Which open model is best right now?** For general tasks DeepSeek-V3 leads open weights; for reasoning DeepSeek-R1; for small local use Qwen3/Qwen2.5.
**Are stars a quality signal?** Momentum signal - great for picking an ecosystem, not a benchmark.
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