DeepSeek V4.1 Flash vs Kimi K2.5
deepseek/deepseek-v4.1-flash · moonshotai/kimi-k2.5
As of October 25, 2026, DeepSeek V4.1 Flash is the cheaper API on UberLLM: $0.0041 per million input tokens and $0.2040 per million output, versus $0.1378 / $0.6890 for Kimi K2.5 — about 72% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with UberLLM's 10% fee already included, so the price you see is the price you pay. Choose DeepSeek V4.1 Flash to cut cost; choose Kimi K2.5 when its capabilities fit your task better.
DeepSeek V4.1 Flash vs Kimi K2.5, side by side
| Spec | DeepSeek V4.1 Flash | Kimi K2.5 |
|---|---|---|
| Price · input / 1M | $0.0041 | $0.1378 |
| Price · output / 1M | $0.2040 | $0.6890 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 384,000 | 65,536 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 80% off | 72% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown includes UberLLM’s 10% fee. Updated October 25, 2026.
DeepSeek V4.1 Flash vs Kimi K2.5 — FAQ
Is DeepSeek V4.1 Flash or Kimi K2.5 cheaper?
DeepSeek V4.1 Flash is cheaper on a blended token mix, by about 72%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with its 10% fee included.
What's the price difference between DeepSeek V4.1 Flash and Kimi K2.5?
DeepSeek V4.1 Flash: $0.0041 in / $0.2040 out per 1M tokens. Kimi K2.5: $0.1378 in / $0.6890 out per 1M tokens. That's roughly a 72% blended difference. Prices are live and include UberLLM's 10% fee.
Can I use both DeepSeek V4.1 Flash and Kimi K2.5 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.