MoonshotAI: Kimi K2 Thinking
Analysis Summary
MoonshotAI: Kimi K2 Thinking sits in the Professional tier on our leaderboard, ranked #49 of 523 published models on overall intelligence. At $0.600 input and $2.50 output per 1M tokens, it is among the most expensive on the market. It offers a generous context window for extended reasoning and code review and supports tool use, function calling, and reasoning.
Editorial notes
MoonshotAI's Kimi K2 Thinking delivers excellent reasoning, strong agentic performance, and impressive maths and coding benchmarks at a very reasonable price point. With tool use, function calling, and a 262K context window, it is a compelling option for businesses needing deep reasoning and agent-based workflows, though Western enterprise support is more limited than top-tier providers.
Assessed April 23, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Kimi K2 Thinking is Moonshot AIās most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MoonshotAI: Kimi K2 Thinking stack up?
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Model Information
| OpenRouter ID |
moonshotai/kimi-k2-thinking
|
| Provider | moonshotai |
| Release Date | November 6, 2025 |
| Context Length | 262,144 tokens |
| Max Completion | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $2.50 | $0.002500 |
Live Performance
Live endpoint metrics ā refreshed every 30 minutes.
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 24, 2026 12:17 pm