Gemini 2.5 Pro vs Qwen3 Coder Next
google/gemini-2.5-pro · 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 $0.3000 / $2.40 for Gemini 2.5 Pro, about 100% 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 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 Qwen3 Coder Next, side by side
| Spec | Gemini 2.5 Pro | Qwen3 Coder Next |
|---|---|---|
| Price · input / 1M | $0.3000 | $0.0012 |
| Price · output / 1M | $2.40 | $0.0079 |
| Context length | 1,048,576 | 256,000 |
| Max output tokens | 65,536 | 16,000 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | — |
| % off list | 76% off | 99% 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 Pro vs Qwen3 Coder Next — FAQ
Is Gemini 2.5 Pro or Qwen3 Coder Next cheaper?
Qwen3 Coder Next is cheaper on a blended token mix, by about 100%. 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 Qwen3 Coder Next?
Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Pro 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.