MoonshotAI: Kimi K2.5
Analysis Summary
Kimi K2.5 is MoonshotAI's multimodal model with a 262,144-token context window, vision, tool use, and function calling. Its measured reasoning index is 36, while coding reaches 46.8 and instruction following is supported by a 0.702 result. The model also shows strong task completion on the supplied tau2 evaluation, making it useful beyond simple text generation.
For Design for Online, the combination fits software assistance, document analysis, visual content review, SEO production, and tool-connected automation. Vision helps with screenshots, page layouts, and image-grounded briefs, while the long context supports large specifications and codebases. Agentic performance is less exceptional than its coding result, so complex autonomous loops need safeguards and observability. At $0.57 input and $2.85 output per million tokens, it is a capable premium-to-midrange choice for varied client workloads.
Assessed August 9, 2026
Editorial notes
Kimi K2.5 pairs strong coding and instruction following with vision, tool use, function calling, a 262K context window, and effective task completion. Its pricing supports broad agency use, though agentic benchmark results are less dominant.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Kimi K2.5 pairs strong coding and instruction following with vision, tool use, function calling, a 262K context window, and effective task completion. Its pricing supports broad agency use, though agentic benchmark results are less dominant.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
36 Intelligence Index·46.8 Coding Index·21.7 Agentic Index
How MoonshotAI: Kimi K2.5 compares
MoonshotAI: Kimi K2.5 ranks #82 of 420 AI models we track for overall intelligence, #67 of 193 for coding, #76 of 175 for agentic tasks. Its 262K-token context window is larger than 74% 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 business fit. 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 | $2.85 | $0.002850 |
What would MoonshotAI: Kimi K2.5 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MoonshotAI: Kimi K2.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MoonshotAI: Kimi K2.5
Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed..
Frequently asked questions about MoonshotAI: Kimi K2.5
How much does MoonshotAI: Kimi K2.5 cost?
MoonshotAI: Kimi K2.5 costs $0.57 per million input tokens and $2.85 per million output tokens.
What is the context window of MoonshotAI: Kimi K2.5?
MoonshotAI: Kimi K2.5 has a context window of 262,144 tokens (262K).
Is MoonshotAI: Kimi K2.5 good for coding?
On our coding benchmark index, MoonshotAI: Kimi K2.5 ranks #67 of 193 models, placing it in the broader range of the field for code generation and debugging.
What can MoonshotAI: Kimi K2.5 do?
MoonshotAI: Kimi K2.5 supports image/vision input, tool use, and function calling.
Who created MoonshotAI: Kimi K2.5?
MoonshotAI: Kimi K2.5 is developed by MoonshotAI and was released on January 27, 2026.
