Mistral Large vs Kimi K3
mistralai/mistral-large · moonshotai/kimi-k3
As of October 31, 2026, Kimi K3 is the cheaper API on UberLLM: $0.0032 per million input tokens and $0.2475 per million output, versus $0.1000 / $0.3000 for Mistral Large, about 25% 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 K3 to cut cost; choose Mistral Large when its capabilities fit your task better.
Mistral Large vs Kimi K3, side by side
| Spec | Mistral Large | Kimi K3 |
|---|---|---|
| Price · input / 1M | $0.1000 | $0.0032 |
| Price · output / 1M | $0.3000 | $0.2475 |
| Context length | 128,000 | 1,000,000 |
| Max output tokens | 4,096 | 131,072 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 95% off | 98% off |
| First token, median (7 days) | — | 2.9 s (937 requests) |
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 K3 — FAQ
Is Mistral Large or Kimi K3 cheaper?
Kimi K3 is cheaper on a blended token mix, by about 25%. 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 K3?
Mistral Large: $0.1000 in / $0.3000 out per 1M tokens. Kimi K3: $0.0032 in / $0.2475 out per 1M tokens. That's roughly a 25% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Mistral Large 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.