Kimi K2 Base: Benchmarks, Pricing & Context Window
Kimi K2 Base is a language model from MoonshotAI, released in July 2025.
Kimi K2 base model is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained on 15.5 trillion tokens with the MuonClip optimizer, this is the foundation
Kimi K2 Base benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for Kimi K2 Base across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How Kimi K2 Base holds up as conversations get longer.
Quality Tracker
Kimi K2 Base Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Wed Sep 09 2026Kimi K2 Base model size
Kimi K2 Base has 1 trillion parameters and was trained on 15.5 trillion tokens. See how it compares to other models in the same parameter range.
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Kimi K2 Base latency
Kimi K2 Base time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
Kimi K2 Base examples
Recent arena outputs from Kimi K2 Base, picked from the highest-ranked matchups.
Kimi K2 Base license
Kimi K2 Base is released under the MIT license, which permits commercial use, has 1.0T parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 1.0T
MIT License - allows commercial use
Kimi K2 Base resources
Official sources for Kimi K2 Base: provider documentation, official launch post, source repository, model weights.
Kimi K2 Base vs other models
The most-compared alternatives to Kimi K2 Base are GPT-4 Turbo, Mistral Small 3.2 24B Instruct, Qwen3 VL 30B A3B Thinking. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like Kimi K2 Base
Models ranked just above and below Kimi K2 Base by LLM Stats score.
FAQ
Common questions about Kimi K2 Base.