Kimi K2 Thinking vs Qwen3.8 Flash
moonshotai/kimi-k2-thinking · qwen/qwen3.8-flash
As of October 31, 2026, Qwen3.8 Flash is the cheaper API on UberLLM: $0.0031 per million input tokens and $0.0099 per million output, versus $0.0060 / $0.0250 for Kimi K2 Thinking, about 60% 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 Qwen3.8 Flash to cut cost; choose Kimi K2 Thinking when its capabilities fit your task better.
Kimi K2 Thinking vs Qwen3.8 Flash, side by side
| Spec | Kimi K2 Thinking | Qwen3.8 Flash |
|---|---|---|
| Price · input / 1M | $0.0060 | $0.0031 |
| Price · output / 1M | $0.0250 | $0.0099 |
| Context length | 256,000 | 1,000,000 |
| Max output tokens | 65,536 | 131,072 |
| Input modalities | text | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 99% off | 98% off |
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?
Kimi K2 Thinking vs Qwen3.8 Flash — FAQ
Is Kimi K2 Thinking or Qwen3.8 Flash cheaper?
Qwen3.8 Flash is cheaper on a blended token mix, by about 60%. 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 Qwen3.8 Flash?
Kimi K2 Thinking: $0.0060 in / $0.0250 out per 1M tokens. Qwen3.8 Flash: $0.0031 in / $0.0099 out per 1M tokens. That's roughly a 60% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Kimi K2 Thinking and Qwen3.8 Flash 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.