Gemini 2.5 Pro vs Qwen3-Max
Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.
Gemini 2.5 Pro
70.9Google · Mar 2025
Google's 2025 workhorse flagship — first mainstream thinking model with a 1M context, still widely deployed.
Qwen3-Max
80.5Alibaba (Qwen) · Sep 2025
Alibaba's trillion-parameter API flagship — frontier-adjacent quality with strong agentic tool use at mid-tier prices.
The verdict
Gemini 2.5 Pro wins 3 of the 4 benchmarks these models share, against 1 for Qwen3-Max. Qwen3-Max is about 1.4x cheaper per blended million tokens (3:1 input:output mix). Gemini 2.5 Pro also takes 1.0M of context versus 262K for Qwen3-Max.
Benchmark head-to-head 3–1
Specs & pricing
| Gemini 2.5 Pro | Qwen3-Max | |
|---|---|---|
| modhub Index | 70.9 | 80.5 |
| Input price / 1M | $1.25 | $1.2 |
| Output price / 1M | $10 | $6 |
| Context window | 1.0M | 262K |
| Max output | 66K | 66K |
| Open weights | no | no |
| Reasoning model | yes | yes |
| Multimodal input | text, image, audio, video | text |
| Knowledge cutoff | Jan 2025 | Jun 2025 |
| Released | Mar 2025 | Sep 2025 |
| Example monthly cost* | $27.50 | $21.00 |
* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.
Frequently asked questions
- Which is better, Gemini 2.5 Pro or Qwen3-Max?
- Gemini 2.5 Pro wins 3 of the 4 benchmarks these models share, against 1 for Qwen3-Max. Qwen3-Max is about 1.4x cheaper per blended million tokens (3:1 input:output mix). Gemini 2.5 Pro also takes 1.0M of context versus 262K for Qwen3-Max.
- Which is cheaper, Gemini 2.5 Pro or Qwen3-Max?
- Gemini 2.5 Pro costs $1.25/$10 per million input/output tokens, while Qwen3-Max costs $1.2/$6. For a typical workload of 10M input and 1.5M output tokens per month, that's $27.50 versus $21.00.
- Which model is better for coding, Gemini 2.5 Pro or Qwen3-Max?
- On SWE-bench Verified — the standard agentic-coding benchmark — Qwen3-Max scores 69.6% versus 63.8% for Gemini 2.5 Pro, making Qwen3-Max the stronger pick for coding agents.