Model comparison
Gemini 3 Pro vs Qwen3.7 Max
Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3 Pro #19 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3 Pro and Qwen3.7 Max share 12 comparable benchmark results. 2 of 8 categories are comparable. 15 results are unique to Gemini 3 Pro; 46 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 12
- Gemini 3 Pro only
- 15
- Qwen3.7 Max only
- 46
- Comparable categories
- 2 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 67.73. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 32.9.
Qwen3.7 Max is the reasoning model in the pair, while Gemini 3 Pro is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Gemini 3 Pro gives you the larger context window at 2M, compared with 1M for Qwen3.7 Max.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Gemini 3 Pro | Δ | Qwen3.7 Max |
|---|---|---|---|
| Math | Gemini 3 Pro32.9 | Margin→ 64.2 | Qwen3.7 Max97.1 |
| Reasoning | Gemini 3 Pro31.1 | Margin→ 59.3 | Qwen3.7 Max90.4 |
| Agentic | Gemini 3 ProNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | Gemini 3 ProNot measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Knowledge | Gemini 3 ProNot measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Multilingual | Gemini 3 ProNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Multimodal | Gemini 3 Pro81.1 | MarginNo overlap | Qwen3.7 MaxNot measured |
| Inst. Following | Gemini 3 ProNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3 Pro | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3 Pro$2 input / $12 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Gemini 3 Pro109 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3 Pro32.65 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3 Pro2M | Qwen3.7 Max1M | Gemini 3 Pro lists the larger context window. |
Benchmark Deep Dive
Agentic22 benchmarks
| Benchmark | Gemini 3 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| τ²-bench resultsSource | 87.1% | 94.7% | Qwen3.7 Max leads |
| Gert LabsSource | 63.23% | 64.27% | Qwen3.7 Max leads |
| JobBenchSource | 11.4% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| MCP AtlasSource | — | 76.4% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| AA Agentic IndexSource | — | 30.6% | Not comparable |
| GDPval-AASource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 1273 | Not comparable |
| ResearchClawBenchSource | — | 18.7% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
Coding11 benchmarks
| Benchmark | Gemini 3 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| Vibe Code BenchSource | 14.30% | — | Not comparable |
| AA-SciCodeSource | 56.1% | 48.8% | Gemini 3 Pro leads |
| AA LiveCodeBenchSource | 91.7% | — | Not comparable |
| SWE-bench VerifiedSource | — | 80.4% | Not comparable |
| SWE-bench ProSource | — | 60.6% | Not comparable |
| SWE MultilingualSource | — | 78.3% | Not comparable |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
| AA Coding IndexSource | — | 66.0% | Not comparable |
ReasoningQwen3.7 Max wins4 benchmarks
Knowledge14 benchmarks
| Benchmark | Gemini 3 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 39.5% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 90.8% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 37.2% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | 15.8% | 14.1% | Gemini 3 Pro leads |
| AA-Omniscience AccuracySource | 55.9% | 30.1% | Gemini 3 Pro leads |
| AA-Omniscience Hallucination RateSource | 90.9% | 22.9% | Qwen3.7 Max leads |
| AA MMLU-ProSource | 89.8% | — | Not comparable |
| GPQASource | — | 92.4% | Not comparable |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
MathQwen3.7 Max wins5 benchmarks
Multilingual6 benchmarks
Multimodal8 benchmarks
| Benchmark | Gemini 3 Pro | Qwen3.7 Max | Result |
|---|---|---|---|
| MMMU-ProSource | 81% | — | Not comparable |
| MathVisionSource | 86.6% | — | Not comparable |
| VideoMMMUSource | 87.6% | — | Not comparable |
| ScreenSpot ProSource | 72.7% | — | Not comparable |
| CharXivSource | 81.4% | — | Not comparable |
| V*Source | 88.0% | — | Not comparable |
| AA-MMMU-ProSource | 80.2% | — | Not comparable |
| Design Arena WebsiteSource | — | 1293 | Not comparable |
Frequently Asked Questions (3)
Which is better, Gemini 3 Pro or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 67.73.
Which is better for math, Gemini 3 Pro or Qwen3.7 Max?
Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 32.9. Gemini 3 Pro stays close enough that the answer can still flip depending on your workload.
Which is better for reasoning, Gemini 3 Pro or Qwen3.7 Max?
Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 31.1. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Related Comparisons
Explore More
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.