Analysis Summary
Kimi K2 0711 is an updated release from MoonshotAI with an intelligence index of 19.4 and a strong agentic index of 38.5 relative to its intelligence tier. Tool use and function calling are supported across a 131K context window. Its GPQA of 0.766 and MMLU-Pro of 0.824 reflect solid general knowledge, though livecodebench at 0.556 is moderate.
For businesses, this model suits agentic workflows, tool-orchestration pipelines, and content generation tasks where multi-step reliability matters more than raw reasoning depth. The tau2 score of 0.611 suggests reasonable instruction-following in agentic contexts. Vision and file input are not supported, which limits its use in multimodal pipelines.
At $0.57 input and $2.30 output per million tokens, pricing is moderate. Teams building agent-driven workflows on a budget will find it a capable option, though those needing frontier reasoning or vision should look to higher-tier alternatives.
Assessed July 10, 2026
Editorial notes
Kimi K2 0711 from MoonshotAI offers a strong agentic index of 38.5, tool use, and function calling at moderate pricing, though its coding and intelligence scores sit below the current frontier.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2 0711 from MoonshotAI offers a strong agentic index of 38.5, tool use, and function calling at moderate pricing, though its coding and intelligence scores sit below the current frontier.
How MoonshotAI: Kimi K2 0711 compares
MoonshotAI: Kimi K2 0711 ranks #154 of 395 AI models we track for overall intelligence, #105 of 302 for agentic tasks. Its 131K-token context window is larger than 53% of the models we list. At $0.57 per million input tokens it is cheaper than 35% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.57 | $0.000570 |
| Output | $2.30 | $0.002300 |
What would MoonshotAI: Kimi K2 0711 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MoonshotAI: Kimi K2 0711 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
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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 the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 29, 2026 8:38 pm