Analysis Summary
MoonshotAI's Kimi K2 0905 is a text model with a 262K-token context window, tool use, and function calling. Its measured mathematics, coding, general knowledge, and long-context results indicate a capable system for technical analysis and multi-step work. The context capacity is useful for large codebases, specifications, and extended research tasks, while structured tool access supports workflow automation.
It fits software assistance, research agents, document-heavy SEO work, and content workflows requiring more reasoning than a budget model. The agentic and terminal measurements are less convincing than its mathematics and coding results, so autonomous execution should remain bounded by checks and approval gates. Pricing is moderate rather than minimal. Adopt it as a strong specialist for technical and long-context workloads, with human review for consequential actions.
Assessed September 7, 2026
Editorial notes
Kimi K2 0905 combines strong mathematics, coding, long-context handling, tool use, and a 262K context window, making it a capable agent and engineering option at moderate cost.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2 0905 combines strong mathematics, coding, long-context handling, tool use, and a 262K context window, making it a capable agent and engineering option at moderate cost.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
17.2 Intelligence Index·57.3 Math Index
How MoonshotAI: Kimi K2 0905 compares
MoonshotAI: Kimi K2 0905 ranks #162 of 435 AI models we track for overall intelligence. Its 262K-token context window is larger than 71% of the models we list. At $0.60 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 | $0.60 | $0.000600 |
| Output | $2.50 | $0.002500 |
What would MoonshotAI: Kimi K2 0905 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 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MoonshotAI: Kimi K2 0905 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MoonshotAI: Kimi K2 0905
Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32..
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Frequently asked questions about MoonshotAI: Kimi K2 0905
How much does MoonshotAI: Kimi K2 0905 cost?
MoonshotAI: Kimi K2 0905 costs $0.60 per million input tokens and $2.50 per million output tokens.
What is the context window of MoonshotAI: Kimi K2 0905?
MoonshotAI: Kimi K2 0905 has a context window of 262,144 tokens (262K).
What can MoonshotAI: Kimi K2 0905 do?
MoonshotAI: Kimi K2 0905 supports tool use and function calling.
Who created MoonshotAI: Kimi K2 0905?
MoonshotAI: Kimi K2 0905 is developed by MoonshotAI and was released on September 4, 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: September 7, 2026 8:38 pm