NewPoint any agent at UberLLM — one key, every model, list price or less.

Kimi K2 Thinking vs Qwen3 32B

moonshotai/kimi-k2-thinking · qwen/qwen3-32b

As of October 31, 2026, Qwen3 32B is the cheaper API on UberLLM: $0.0008 per million input tokens and $0.0028 per million output, versus $0.0060 / $0.0250 for Kimi K2 Thinking, about 89% 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 32B to cut cost; choose Kimi K2 Thinking when context size wins. Kimi K2 Thinking carries the larger context window (256,000 vs 32,000 tokens), which can matter for long-document work.

Kimi K2 Thinking vs Qwen3 32B, side by side

SpecKimi K2 ThinkingQwen3 32B
Price · input / 1M$0.0060$0.0008
Price · output / 1M$0.0250$0.0028
Context length256,00032,000
Max output tokens65,5368,000
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYes—
% off list99% off99% 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 32B — FAQ

Is Kimi K2 Thinking or Qwen3 32B cheaper?

Qwen3 32B is cheaper on a blended token mix, by about 89%. 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 32B?

Kimi K2 Thinking: $0.0060 in / $0.0250 out per 1M tokens. Qwen3 32B: $0.0008 in / $0.0028 out per 1M tokens. That's roughly a 89% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Kimi K2 Thinking and Qwen3 32B 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.

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