DeepSeek V4 Pro 0813 vs Kimi K2.5
deepseek/deepseek-v4-pro-0813 · moonshotai/kimi-k2.5
As of November 1, 2026, Kimi K2.5 is the cheaper API on UberLLM: $0.0041 per million input tokens and $0.0205 per million output, versus $0.0310 / $0.0931 for DeepSeek V4 Pro 0813, about 79% 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 K2.5 to cut cost; choose DeepSeek V4 Pro 0813 when context size wins. DeepSeek V4 Pro 0813 carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.
DeepSeek V4 Pro 0813 vs Kimi K2.5, side by side
| Spec | DeepSeek V4 Pro 0813 | Kimi K2.5 |
|---|---|---|
| Price · input / 1M | $0.0310 | $0.0041 |
| Price · output / 1M | $0.0931 | $0.0205 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 384,000 | 65,536 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 96% off | 99.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
DeepSeek V4 Pro 0813 vs Kimi K2.5 — FAQ
Is DeepSeek V4 Pro 0813 or Kimi K2.5 cheaper?
Kimi K2.5 is cheaper on a blended token mix, by about 79%. 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 DeepSeek V4 Pro 0813 and Kimi K2.5?
DeepSeek V4 Pro 0813: $0.0310 in / $0.0931 out per 1M tokens. Kimi K2.5: $0.0041 in / $0.0205 out per 1M tokens. That's roughly a 79% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro 0813 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.