DeepSeek V3.2 vs Kimi K2 Thinking
deepseek/deepseek-v3.2 · moonshotai/kimi-k2-thinking
As of October 27, 2026, DeepSeek V3.2 is the cheaper API on UberLLM: $0.0056 per million input tokens and $0.0084 per million output, versus $0.0300 / $0.1250 for Kimi K2 Thinking — about 92% less on a blended 3:1 token mix. Both are reached through one OpenAI-compatible key and routed to the cheapest healthy seller, with no UberLLM fee added, so the price you see is the price you pay. Choose DeepSeek V3.2 to cut cost; choose Kimi K2 Thinking when context size wins — Kimi K2 Thinking carries the larger context window (262,144 vs 163,840 tokens), which can matter for long-document work.
DeepSeek V3.2 vs Kimi K2 Thinking, side by side
| Spec | DeepSeek V3.2 | Kimi K2 Thinking |
|---|---|---|
| Price · input / 1M | $0.0056 | $0.0300 |
| Price · output / 1M | $0.0084 | $0.1250 |
| Context length | 163,840 | 262,144 |
| Max output tokens | 65,536 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| Cheapest seller | UberLLM | UberLLM |
| % off list | 98% off | 95% off |
Live prices via UberLLM, routed to the cheapest healthy seller. The price shown has no UberLLM fee added. Updated October 27, 2026.
DeepSeek V3.2 vs Kimi K2 Thinking — FAQ
Is DeepSeek V3.2 or Kimi K2 Thinking cheaper?
DeepSeek V3.2 is cheaper on a blended token mix, by about 92%. UberLLM routes every request to the cheapest healthy seller and bills the price shown, with no fee added.
What's the price difference between DeepSeek V3.2 and Kimi K2 Thinking?
DeepSeek V3.2: $0.0056 in / $0.0084 out per 1M tokens. Kimi K2 Thinking: $0.0300 in / $0.1250 out per 1M tokens. That's roughly a 92% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V3.2 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.