DeepSeek V4 Pro 0813 vs Kimi K2 Thinking
deepseek/deepseek-v4-pro-0813 · moonshotai/kimi-k2-thinking
As of November 2, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0059 per million input tokens and $0.0248 per million output, versus $0.0035 / $0.1203 for DeepSeek V4 Pro 0813, about 78% 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 DeepSeek V4 Pro 0813 when context size wins. DeepSeek V4 Pro 0813 carries the larger context window (1,048,576 vs 262,144 tokens), which can matter for long-document work.
DeepSeek V4 Pro 0813 vs Kimi K2 Thinking, side by side
| Spec | DeepSeek V4 Pro 0813 | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.0035 | $0.0059 |
| Price · output / 1M | $0.1203 | $0.0248 |
| Context length | 1,048,576 | 262,144 |
| Max output tokens | 384,000 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 97% 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 2, 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 Thinking — FAQ
Is DeepSeek V4 Pro 0813 or Kimi K2 Thinking cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 78%. 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 Thinking?
DeepSeek V4 Pro 0813: $0.0035 in / $0.1203 out per 1M tokens. Kimi K2 Thinking: $0.0059 in / $0.0248 out per 1M tokens. That's roughly a 78% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro 0813 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.