Gemini 2.5 Pro vs Qwen 3 Coder 480B Turbo
google/gemini-2.5-pro · qwen/qwen3-coder-turbo
As of November 2, 2026, Qwen 3 Coder 480B Turbo is the cheaper API on UberLLM: $0.2065 per million input tokens and $0.8850 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, about 62% 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 Qwen 3 Coder 480B Turbo to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 256,000 tokens), which can matter for long-document work.
Gemini 2.5 Pro vs Qwen 3 Coder 480B Turbo, side by side
| Spec | Gemini 2.5 Pro | Qwen 3 Coder 480B Turbo |
|---|---|---|
| Price · input / 1M | $0.3000 | $0.2065 |
| Price · output / 1M | $2.40 | $0.8850 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 65,536 | 65,536 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | — |
| % off list | 76% off | 41% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemini 2.5 Pro vs Qwen 3 Coder 480B Turbo — FAQ
Is Gemini 2.5 Pro or Qwen 3 Coder 480B Turbo cheaper?
Qwen 3 Coder 480B Turbo is cheaper on a blended token mix, by about 62%. 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 Pro and Qwen 3 Coder 480B Turbo?
Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. Qwen 3 Coder 480B Turbo: $0.2065 in / $0.8850 out per 1M tokens. That's roughly a 62% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Pro and Qwen 3 Coder 480B Turbo 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.