MoonshotAI: Kimi K2 0711
Analysis Summary
MoonshotAI's Kimi K2 0711 is a July 2025 update to the Kimi K2 family, with an intelligence index of 26.3 and a strong agentic index of 38.5, the highest in this batch. Coding (22.1) and math (57) benchmarks are competitive, and the model supports tool use and function calling with a 131K context window. Long-context reasoning (0.51 lcr) and tau2 agentic task scores (0.611) are among the stronger results here.
For businesses, the agentic strength makes this model a credible candidate for multi-step tool-use workflows, automated research pipelines, and coding agents. The intelligence index of 26.3 places it below the top tier for pure reasoning tasks, so complex analytical work may hit limits. Pricing at $0.57 input / $2.30 output is moderate.
Teams building agentic or tool-use pipelines who want a model with demonstrated multi-step reliability will find Kimi K2 0711 worth evaluating. Those prioritising pure reasoning or content quality should consider higher-indexed alternatives.
Assessed June 6, 2026
Editorial notes
Kimi K2 0711 from MoonshotAI delivers a strong agentic index of 38.5 with solid coding and math benchmarks, tool use, and a 131K context window, though pricing is moderate and provider adoption in enterprise contexts is still developing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How MoonshotAI: Kimi K2 0711 compares
MoonshotAI: Kimi K2 0711 ranks #134 of 378 AI models we track for overall intelligence, #132 of 315 for coding, #111 of 289 for agentic tasks. Its 131K-token context window is larger than 60% of the models we list. At $0.57 per million input tokens it is cheaper than 32% of comparable models.
About MoonshotAI: Kimi K2 0711
Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MoonshotAI: Kimi K2 0711 stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
moonshotai/kimi-k2
|
| Provider | moonshotai |
| Release Date | July 11, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 32,768 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.57 | $0.000570 |
| Output | $2.30 | $0.002300 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about MoonshotAI: Kimi K2 0711
How much does MoonshotAI: Kimi K2 0711 cost?
MoonshotAI: Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens.
What is the context window of MoonshotAI: Kimi K2 0711?
MoonshotAI: Kimi K2 0711 has a context window of 131,072 tokens (131K).
Is MoonshotAI: Kimi K2 0711 good for coding?
On our coding benchmark index, MoonshotAI: Kimi K2 0711 ranks #132 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can MoonshotAI: Kimi K2 0711 do?
MoonshotAI: Kimi K2 0711 supports tool use and function calling.
Who created MoonshotAI: Kimi K2 0711?
MoonshotAI: Kimi K2 0711 is developed by MoonshotAI and was released on July 11, 2025.
