Model comparison
Qwen3 235B 2507 vs Qwen3.7 Max
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3 235B 2507 #78 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3 235B 2507 and Qwen3.7 Max share 4 comparable benchmark results. 2 of 8 categories are comparable. 0 results are unique to Qwen3 235B 2507; 54 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 4
- Qwen3 235B 2507 only
- 0
- Qwen3.7 Max only
- 54
- Comparable categories
- 2 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 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 56.02. 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 multilingual, where it averages 87 against 79.4. The single biggest benchmark swing on the page is GPQA, 77.5% to 92.4%. Qwen3 235B 2507 does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Qwen3.7 Max is the reasoning model in the pair, while Qwen3 235B 2507 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. Qwen3.7 Max gives you the larger context window at 1M, compared with 128K for Qwen3 235B 2507.
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 | Qwen3 235B 2507 | Δ | Qwen3.7 Max |
|---|---|---|---|
| Knowledge | Qwen3 235B 250778.9 | Margin← 14.7 | Qwen3.7 Max64.2 |
| Multilingual | Qwen3 235B 250779.4 | Margin→ 7.6 | Qwen3.7 Max87.0 |
| Agentic | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Coding | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.7 Max77.9 |
| Reasoning | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Math | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Inst. Following | Qwen3 235B 2507Not measured | MarginNo overlap | Qwen3.7 Max84.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 77.5%B 92.4%Winner: Qwen3.7 MaxΔ 14.9GPQA: Qwen3 235B 2507 scored 77.5%; Qwen3.7 Max scored 92.4%. Qwen3.7 Max wins this benchmark. - Source ↗
SuperGPQA
KnowledgeA 62.6%B 73.6%Winner: Qwen3.7 MaxΔ 11SuperGPQA: Qwen3 235B 2507 scored 62.6%; Qwen3.7 Max scored 73.6%. Qwen3.7 Max wins this benchmark. - Source ↗
MMLU-ProX
MultilingualA 79.4%B 87%Winner: Qwen3.7 MaxΔ 7.6MMLU-ProX: Qwen3 235B 2507 scored 79.4%; Qwen3.7 Max scored 87%. Qwen3.7 Max wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 83%B 89.6%Winner: Qwen3.7 MaxΔ 6.6MMLU-Pro: Qwen3 235B 2507 scored 83%; Qwen3.7 Max scored 89.6%. Qwen3.7 Max wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3 235B 2507 | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3 235B 2507$0 input / $0 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3 235B 2507Not available | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3 235B 2507Not available | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3 235B 2507128K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic21 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.7 Max | Result |
|---|---|---|---|
| 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 |
| τ²-bench resultsSource | — | 94.7% | Not comparable |
| GDPval-AASource | — | 38.7% | Not comparable |
| GDPval-AASource | — | 1273 | Not comparable |
| Gert LabsSource | — | 64.27% | 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 |
Coding9 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.7 Max | Result |
|---|---|---|---|
| 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 |
| AA-SciCodeSource | — | 48.8% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3 235B 2507 wins13 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.7 Max | Result |
|---|---|---|---|
| GPQASource | 77.5% | 92.4% | Qwen3.7 Max leads |
| SuperGPQASource | 62.6% | 73.6% | Qwen3.7 Max leads |
| MMLU-ProSource | 83% | 89.6% | Qwen3.7 Max leads |
| GPQA-DSource | — | 92.4% | Not comparable |
| HLESource | — | 41.4% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 46.0% | Not comparable |
| AA-GPQA DiamondSource | — | 92.3% | Not comparable |
| AA-HLESource | — | 38.1% | Not comparable |
| AA-Omniscience IndexSource | — | 14.1% | Not comparable |
| AA-Omniscience AccuracySource | — | 30.1% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 22.9% | Not comparable |
Math3 benchmarks
MultilingualQwen3.7 Max wins5 benchmarks
Multimodal1 benchmarks
| Benchmark | Qwen3 235B 2507 | Qwen3.7 Max | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1293 | Not comparable |
Frequently Asked Questions (3)
Which is better, Qwen3 235B 2507 or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 56.02. The biggest single separator in this matchup is GPQA, where the scores are 77.5% and 92.4%.
Which is better for knowledge tasks, Qwen3 235B 2507 or Qwen3.7 Max?
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 64.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for multilingual tasks, Qwen3 235B 2507 or Qwen3.7 Max?
Qwen3.7 Max has the edge for multilingual tasks in this comparison, averaging 87 versus 79.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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