DeepSeek V4 Pro vs Kimi K2 Thinking
deepseek/deepseek-v4-pro · moonshotai/kimi-k2-thinking
As of October 31, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0060 per million input tokens and $0.0250 per million output, versus $0.3016 / $0.6032 for DeepSeek V4 Pro, about 96% 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 K2 Thinking to cut cost; choose DeepSeek V4 Pro when context size wins. DeepSeek V4 Pro carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.
DeepSeek V4 Pro vs Kimi K2 Thinking, side by side
| Spec | DeepSeek V4 Pro | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.3016 | $0.0060 |
| Price · output / 1M | $0.6032 | $0.0250 |
| Context length | 1,000,000 | 256,000 |
| Max output tokens | 128,000 | 65,536 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 81% off | 99% off |
| First token, median (7 days) | 5.4 s (200 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?
DeepSeek V4 Pro vs Kimi K2 Thinking — FAQ
Is DeepSeek V4 Pro or Kimi K2 Thinking cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 96%. 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 and Kimi K2 Thinking?
DeepSeek V4 Pro: $0.3016 in / $0.6032 out per 1M tokens. Kimi K2 Thinking: $0.0060 in / $0.0250 out per 1M tokens. That's roughly a 96% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro 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.