Gemini 2.5 Flash vs Kimi K2 Thinking
google/gemini-2.5-flash · moonshotai/kimi-k2-thinking
As of October 25, 2026, Gemini 2.5 Flash is the cheaper API on UberLLM: $0.0060 per million input tokens and $0.0500 per million output, versus $0.0300 / $0.1250 for Kimi K2 Thinking — about 61% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose Gemini 2.5 Flash to cut cost; choose Kimi K2 Thinking when its capabilities fit your task better.
Gemini 2.5 Flash vs Kimi K2 Thinking, side by side
| Spec | Gemini 2.5 Flash | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.0060 | $0.0300 |
| Price · output / 1M | $0.0500 | $0.1250 |
| Context length | 1,048,576 | 262,144 |
| Max output tokens | 65,535 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | — | Yes |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 98% off | 95% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 25, 2026.
Gemini 2.5 Flash vs Kimi K2 Thinking — FAQ
Is Gemini 2.5 Flash or Kimi K2 Thinking cheaper?
Gemini 2.5 Flash is cheaper on a blended token mix, by about 61%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.
What's the price difference between Gemini 2.5 Flash and Kimi K2 Thinking?
Gemini 2.5 Flash: $0.0060 in / $0.0500 out per 1M tokens. Kimi K2 Thinking: $0.0300 in / $0.1250 out per 1M tokens. That's roughly a 61% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Flash and Kimi K2 Thinking 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.