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

Kimi K2.5 vs GPT 5 Mini

moonshotai/kimi-k2.5 · openai/gpt-5-mini

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 $0.0610 / $0.4880 for GPT 5 Mini, about 96% 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 GPT 5 Mini when context size wins. GPT 5 Mini carries the larger context window (400,000 vs 256,000 tokens), which can matter for long-document work.

Kimi K2.5 vs GPT 5 Mini, side by side

SpecKimi K2.5GPT 5 Mini
Price · input / 1M$0.0041$0.0610
Price · output / 1M$0.0205$0.4880
Context length256,000400,000
Max output tokens65,536128,000
Input modalitiestext, imagetext, image
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list99.2% off75.6% off

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 GPT 5 Mini — FAQ

Is Kimi K2.5 or GPT 5 Mini cheaper?

Kimi K2.5 is cheaper on a blended token mix, by about 96%. 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 GPT 5 Mini?

Kimi K2.5: $0.0041 in / $0.0205 out per 1M tokens. GPT 5 Mini: $0.0610 in / $0.4880 out per 1M tokens. That's roughly a 96% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Kimi K2.5 and GPT 5 Mini 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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