Qwen3-Coder provides a code-focused model in the Qwen family of large language models.
Kimi K2
Moonshot AI develops the Kimi K2 large language model series and publishes its source repository.
About Kimi K2
Kimi K2 is a language model series from Moonshot AI, documented in a GitHub repository. It is designed for tool use, reasoning and autonomous problem-solving. The Instruct variant is described as a reflex-grade model without long thinking.
Pricing is not clearly stated.
Key features
- Mixture-of-experts architecture with 1T total parameters and 32B activated parameters
- 61 layers, including 1 dense layer
- 384 experts, with 8 selected per token and 1 shared expert
- 128K context length and 160K vocabulary
- MLA attention and SwiGLU activation
- Pre-trained on 15.5T tokens with the Muon optimizer
Best for: Researchers and builders who want a foundation model for fine-tuning and custom solutions, and teams that need a post-trained model for general chat and agentic experiences.
Kimi K2 at a glance
- Category
- AI & Machine Learning › Models & ML Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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