Mistral Large vs Kimi K2 Thinking
mistralai/mistral-large · moonshotai/kimi-k2-thinking
As of October 31, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0060 per million input tokens and $0.0250 per million output, versus $0.1000 / $0.3000 for Mistral Large, about 92% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Kimi K2 Thinking to cut cost; choose Mistral Large when its capabilities fit your task better.
Mistral Large vs Kimi K2 Thinking, side by side
| Spec | Mistral Large | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.1000 | $0.0060 |
| Price · output / 1M | $0.3000 | $0.0250 |
| Context length | 128,000 | 256,000 |
| Max output tokens | 4,096 | 65,536 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | — | Yes |
| % off list | 95% off | 99% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Mistral Large vs Kimi K2 Thinking — FAQ
Is Mistral Large or Kimi K2 Thinking cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 92%. 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 Mistral Large and Kimi K2 Thinking?
Mistral Large: $0.1000 in / $0.3000 out per 1M tokens. Kimi K2 Thinking: $0.0060 in / $0.0250 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Mistral Large 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.