Kimi K2 Thinking vs Qwen 3.8 Max
moonshotai/kimi-k2-thinking · qwen/qwen-3-8-max
As of November 3, 2026, Kimi K2 Thinking is the cheaper API on UberLLM: $0.0059 per million input tokens and $0.0248 per million output, versus $0.1212 / $0.3638 for Qwen 3.8 Max, about 93% 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 Qwen 3.8 Max when context size wins. Qwen 3.8 Max carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.
Kimi K2 Thinking vs Qwen 3.8 Max, side by side
| Spec | Kimi K2 Thinking | Qwen 3.8 Max |
|---|---|---|
| Price · input / 1M | $0.0059 | $0.1212 |
| Price · output / 1M | $0.0248 | $0.3638 |
| Context length | 256,000 | 1,000,000 |
| Max output tokens | 65,536 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99% off | 95.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Kimi K2 Thinking vs Qwen 3.8 Max — FAQ
Is Kimi K2 Thinking or Qwen 3.8 Max cheaper?
Kimi K2 Thinking is cheaper on a blended token mix, by about 93%. 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 Kimi K2 Thinking and Qwen 3.8 Max?
Kimi K2 Thinking: $0.0059 in / $0.0248 out per 1M tokens. Qwen 3.8 Max: $0.1212 in / $0.3638 out per 1M tokens. That's roughly a 93% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2 Thinking and Qwen 3.8 Max 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.