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Gemini 2.5 Flash vs Qwen3 Coder Next

google/gemini-2.5-flash · 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 $0.0030 / $0.0250 for Gemini 2.5 Flash, about 68% 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 Gemini 2.5 Flash when context size wins. Gemini 2.5 Flash carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.

Gemini 2.5 Flash vs Qwen3 Coder Next, side by side

SpecGemini 2.5 FlashQwen3 Coder Next
Price · input / 1M$0.0030$0.0012
Price · output / 1M$0.0250$0.0079
Context length1,048,576256,000
Max output tokens65,53516,000
Input modalitiestext, imagetext
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)Yes—
% off list99% 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?

Gemini 2.5 Flash vs Qwen3 Coder Next — FAQ

Is Gemini 2.5 Flash or Qwen3 Coder Next cheaper?

Qwen3 Coder Next is cheaper on a blended token mix, by about 68%. 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 Gemini 2.5 Flash and Qwen3 Coder Next?

Gemini 2.5 Flash: $0.0030 in / $0.0250 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 68% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Gemini 2.5 Flash 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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