MoonshotAI: Kimi K2 0711
Analysis Summary
Kimi K2 0711 is MoonshotAI's updated agentic model, with an intelligence index of 19.4, agentic index of 38.5, and tau2 of 0.611, which is a strong result for autonomous task completion. Livecodebench at 0.556 and GPQA at 0.766 confirm capable coding and reasoning. Tool use and function calling are supported, and the 131K context window handles most business document lengths.
For businesses, this model is well suited to agentic coding pipelines, multi-step research tasks, and workflows requiring reliable tool orchestration. The long-context reliability score of 0.51 is reasonable for document-heavy tasks. Its main limitation is that it does not support vision, restricting use in multimodal workflows.
Pricing at $0.57 input and $2.30 output is moderate. Teams building agentic systems or coding automation will find the tau2 and agentic index scores reassuring for production reliability. As with other MoonshotAI models, teams should validate integration requirements for their specific deployment environment.
Assessed June 30, 2026
Editorial notes
Kimi K2 0711 from MoonshotAI delivers strong agentic performance, solid coding benchmarks, tool use support, and a high tau2 score for reliable multi-step workflows.
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 #142 of 385 AI models we track for overall intelligence, #119 of 293 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.57 per million input tokens it is cheaper than 33% 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?
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Model Information
| OpenRouter ID |
moonshotai/kimi-k2
|
| Provider | moonshotai |
| Release Date | July 11, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 100,352 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.
External Resources
Explore Related Models
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).
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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: July 2, 2026 8:38 pm