NewPoint any agent at UberLLM — one key, every model, list price or less.
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GPT-5.5 vs Qwen3 Coder Next

openai/gpt-5.5 · qwen/qwen3-coder-next

As of November 3, 2026, Qwen3 Coder Next is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0079 per million output, versus $0.1250 / $0.7500 for GPT-5.5, about 99% 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 Qwen3 Coder Next to cut cost; choose GPT-5.5 when context size wins. GPT-5.5 carries the larger context window (1,000,000 vs 256,000 tokens), which can matter for long-document work.

GPT-5.5 vs Qwen3 Coder Next, side by side

SpecGPT-5.5Qwen3 Coder Next
Price · input / 1M$0.1250$0.0012
Price · output / 1M$0.7500$0.0079
Context length1,000,000256,000
Max output tokens128,00016,000
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
ReasoningYes—
% off list97.5% off99% 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?

GPT-5.5 vs Qwen3 Coder Next — FAQ

Is GPT-5.5 or Qwen3 Coder Next cheaper?

Qwen3 Coder Next 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-5.5 and Qwen3 Coder Next?

GPT-5.5: $0.1250 in / $0.7500 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT-5.5 and Qwen3 Coder Next 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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