Gemini 2.5 Pro vs Kimi K2.6
google/gemini-2.5-pro · moonshotai/kimi-k2.6
As of November 2, 2026, Kimi K2.6 is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0064 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 100% 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 K2.6 to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.
Gemini 2.5 Pro vs Kimi K2.6, side by side
| Spec | Gemini 2.5 Pro | Kimi K2.6 |
|---|---|---|
| Price · input / 1M | $0.3000 | $0.0012 |
| Price · output / 1M | $2.40 | $0.0064 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 65,536 | 65,536 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 76% off | 99.8% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemini 2.5 Pro vs Kimi K2.6 — FAQ
Is Gemini 2.5 Pro or Kimi K2.6 cheaper?
Kimi K2.6 is cheaper on a blended token mix, by about 100%. 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 Gemini 2.5 Pro and Kimi K2.6?
Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. Kimi K2.6: $0.0012 in / $0.0064 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Pro and Kimi K2.6 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.