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Gemini 3.1 Pro vs Qwen3.7-Max
Gemini 3.1 Pro (Google DeepMind) and Qwen3.7-Max (Alibaba) compared on benchmarks, pricing, context window, and use-case rankings.
- Qwen3.7-Max ranks higher for coding (70th vs 62th percentile).
| Attribute | Gemini 3.1 Pro | Qwen3.7-Max |
|---|---|---|
| Scores | ||
| Intelligence (ECI) | 155 | — |
| Coding | 62 | 70 |
| Math | 72 | — |
| Reasoning & Knowledge | 94 | 84 |
| Agentic & Tools | 81 | 79 |
| Specifications | ||
| Developer | Google DeepMind | Alibaba |
| Family | Gemini | Qwen |
| Released | Feb 19, 2026 | May 19, 2026 |
| Parameters | — | — |
| Availability | API access | API access |
| Context window | — | 1M |
| Price — $/M input | — | $1.48 |
| Price — $/M output | — | $4.42 |
| Inputs | — | text |
| Outputs | — | text |
| Benchmarks | ||
| AIME 2024/2025 | 96% | — |
| APEX | 34% | — |
| ARC-AGI | 98% | — |
| ARC-AGI-2 | 77% | — |
| FrontierMath | 37% | — |
| FrontierMath Tier 4 | 17% | — |
| GPQA Diamond | 94% | 92% |
| GSO (code optimization) | 23% | — |
| Humanity's Last Exam | 46% | 38% |
| METR task horizon | 6.4 h | — |
| SimpleBench | 80% | — |
| SimpleQA Verified | 77% | — |
| SWE-bench Verified | 76% | — |
| Terminal-Bench | 80% | — |
| WebDev Arena | 1461 | — |
| WeirdML | 72% | — |
| SciCode | — | 49% |
| τ²-bench | — | 95% |
Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.
Frequently asked questions
Which is better for coding, Gemini 3.1 Pro or Qwen3.7-Max?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Qwen3.7-Max ranks higher — 70th vs 62th percentile among the models tracked on Model Beat.
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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.