Devstral 2 123B vs Kimi K2 Thinking
mistralai/devstral-2-123b · moonshotai/kimi-k2-thinking
As of November 4, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0059 per million input tokens and $0.0248 per million output, versus $0.0077 / $0.0384 for Devstral 2 123B, about 35% 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 Thinking to cut cost; choose Devstral 2 123B when its capabilities fit your task better.
Devstral 2 123B vs Kimi K2 Thinking, side by side
| Spec | Devstral 2 123B | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.0077 | $0.0059 |
| Price · output / 1M | $0.0384 | $0.0248 |
| Context length | 256,000 | 256,000 |
| Max output tokens | 32,000 | 65,536 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 98.1% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Devstral 2 123B vs Kimi K2 Thinking — FAQ
Is Devstral 2 123B or Kimi K2 Thinking cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 35%. 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 Devstral 2 123B and Kimi K2 Thinking?
Devstral 2 123B: $0.0077 in / $0.0384 out per 1M tokens. Kimi K2 Thinking: $0.0059 in / $0.0248 out per 1M tokens. That's roughly a 35% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Devstral 2 123B 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.