DeepSeek V3.1 vs Kimi K3
deepseek/deepseek-v3.1 · moonshotai/kimi-k3
As of November 8, 2026, DeepSeek V3.1 is the cheaper API on UberLLM: $0.0025 per million input tokens and $0.0094 per million output, versus $0.0017 / $0.0781 for Kimi K3, about 87% 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 DeepSeek V3.1 to cut cost; choose Kimi K3 when context size wins. Kimi K3 carries the larger context window (1,048,576 vs 128,000 tokens), which can matter for long-document work.
DeepSeek V3.1 vs Kimi K3, side by side
| Spec | DeepSeek V3.1 | Kimi K3 |
|---|---|---|
| Price · input / 1M | $0.0025 | $0.0017 |
| Price · output / 1M | $0.0094 | $0.0781 |
| Context length | 128,000 | 1,048,576 |
| Max output tokens | 8,000 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 99% off | 99.3% off |
| First token, median (7 days) | — | 7.6 s (2,986 requests) |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 8, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
DeepSeek V3.1 vs Kimi K3 — FAQ
Is DeepSeek V3.1 or Kimi K3 cheaper?
DeepSeek V3.1 is cheaper on a blended token mix, by about 87%. 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 V3.1 and Kimi K3?
DeepSeek V3.1: $0.0025 in / $0.0094 out per 1M tokens. Kimi K3: $0.0017 in / $0.0781 out per 1M tokens. That's roughly a 87% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V3.1 and Kimi K3 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.