Analysis Summary
MoonshotAI's Kimi K2 0711 is a text model built for practical language and tool-connected tasks. It provides a 131K context window, tool use, and function calling, giving it a workable foundation for technical automation and document processing. The available intelligence result is modest, so its strengths are more operational than frontier reasoning.
The model can serve code assistance, structured extraction, SEO production, and workflows that call external functions under clear instructions. It is less appropriate for difficult research, autonomous multi-step execution, or premium client-facing copy where subtle reasoning and tone control are essential. No vision or multimodal capability is supplied.
Pricing is reasonable for specialist use, but not low enough to erase the capability gap with stronger budget models. Use it as a secondary technical model when its tool interface and context capacity fit the workflow.
Assessed August 9, 2026
Editorial notes
Kimi K2 0711 offers a 131K context window, tool use, and function calling at moderate pricing. It is suitable for structured technical workflows, though its measured reasoning capability does not support flagship-level autonomous or editorial work.
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DFO Verdict
Kimi K2 0711 offers a 131K context window, tool use, and function calling at moderate pricing. It is suitable for structured technical workflows, though its measured reasoning capability does not support flagship-level autonomous or editorial work.
How MoonshotAI: Kimi K2 0711 compares
MoonshotAI: Kimi K2 0711 ranks #179 of 428 AI models we track for overall intelligence. Its 131K-token context window is larger than 50% of the models we list. At $0.57 per million input tokens it is cheaper than 36% 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 technical 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.
Full calculator with 717 models → Price Calculator
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: August 25, 2026 8:38 pm