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

GPT 5 Mini vs Qwen3 32B

openai/gpt-5-mini · 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 $0.0640 / $0.5120 for GPT 5 Mini, about 99% 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 GPT 5 Mini when context size wins. GPT 5 Mini carries the larger context window (400,000 vs 32,000 tokens), which can matter for long-document work.

GPT 5 Mini vs Qwen3 32B, side by side

SpecGPT 5 MiniQwen3 32B
Price · input / 1M$0.0640$0.0008
Price · output / 1M$0.5120$0.0028
Context length400,00032,000
Max output tokens128,0008,000
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYes—
% off list74% 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?

GPT 5 Mini vs Qwen3 32B — FAQ

Is GPT 5 Mini or Qwen3 32B cheaper?

Qwen3 32B is cheaper on a blended token mix, by about 99%. 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 GPT 5 Mini and Qwen3 32B?

GPT 5 Mini: $0.0640 in / $0.5120 out per 1M tokens. Qwen3 32B: $0.0008 in / $0.0028 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT 5 Mini 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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