NewPoint any agent at UberLLM — one key, every model, list price or less.

Kimi K2.5 vs Kimi K3

moonshotai/kimi-k2.5 · moonshotai/kimi-k3

As of November 1, 2026, Kimi K2.5 is the cheaper API on UberLLM: $0.0041 per million input tokens and $0.0205 per million output, versus $0.0017 / $0.0781 for Kimi K3, about 72% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K2.5 to cut cost; choose Kimi K3 when context size wins. Kimi K3 carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.

Kimi K2.5 vs Kimi K3, side by side

SpecKimi K2.5Kimi K3
Price · input / 1M$0.0041$0.0017
Price · output / 1M$0.0205$0.0781
Context length256,0001,000,000
Max output tokens65,536131,072
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list99.2% off99.3% off
First token, median (7 days)—2.9 s (937 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Kimi K2.5 vs Kimi K3 — FAQ

Is Kimi K2.5 or Kimi K3 cheaper?

Kimi K2.5 is cheaper on a blended token mix, by about 72%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.

What's the price difference between Kimi K2.5 and Kimi K3?

Kimi K2.5: $0.0041 in / $0.0205 out per 1M tokens. Kimi K3: $0.0017 in / $0.0781 out per 1M tokens. That's roughly a 72% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Kimi K2.5 and Kimi K3 with one API?

Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.

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