Mistral Small 4 vs Kimi K3 Fast
mistralai/mistral-small-4 · moonshotai/kimi-k3-fast-api
As of November 5, 2026, Mistral Small 4 is the cheaper API on UberLLM: $0.0469 per million input tokens and $0.1875 per million output, versus $3.55 / $17.77 for Kimi K3 Fast, about 99% 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 Mistral Small 4 to cut cost; choose Kimi K3 Fast when context size wins. Kimi K3 Fast carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.
Mistral Small 4 vs Kimi K3 Fast, side by side
| Spec | Mistral Small 4 | Kimi K3 Fast |
|---|---|---|
| Price · input / 1M | $0.0469 | $3.55 |
| Price · output / 1M | $0.1875 | $17.77 |
| Context length | 256,000 | 1,000,000 |
| Max output tokens | 32,768 | 131,072 |
| Input modalities | text, image | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 68.8% off | 21% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026.
Mistral Small 4 vs Kimi K3 Fast — FAQ
Is Mistral Small 4 or Kimi K3 Fast cheaper?
Mistral Small 4 is cheaper on a blended token mix, by about 99%. 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 Small 4 and Kimi K3 Fast?
Mistral Small 4: $0.0469 in / $0.1875 out per 1M tokens. Kimi K3 Fast: $3.55 in / $17.77 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Mistral Small 4 and Kimi K3 Fast 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.