Model comparison
Claude 4 Sonnet vs Qwen3.7 Max
Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4 Sonnet #158 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4 Sonnet and Qwen3.7 Max share 14 comparable benchmark results. 1 of 8 categories are comparable. 2 results are unique to Claude 4 Sonnet; 44 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 14
- Claude 4 Sonnet only
- 2
- Qwen3.7 Max only
- 44
- Comparable categories
- 1 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 1 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 42.79. 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 coding, where it averages 77.9 against 72.7. The single biggest benchmark swing on the page is SWE-bench Verified, 72.7% to 80.4%.
Qwen3.7 Max is the reasoning model in the pair, while Claude 4 Sonnet 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 200K for Claude 4 Sonnet.
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 | Claude 4 Sonnet | Δ | Qwen3.7 Max |
|---|---|---|---|
| Coding | Claude 4 Sonnet72.7 | Margin→ 5.2 | Qwen3.7 Max77.9 |
| Agentic | Claude 4 SonnetNot measured | MarginNo overlap | Qwen3.7 Max69.7 |
| Reasoning | Claude 4 SonnetNot measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Knowledge | Claude 4 SonnetNot measured | MarginNo overlap | Qwen3.7 Max64.2 |
| Math | Claude 4 SonnetNot measured | MarginNo overlap | Qwen3.7 Max97.1 |
| Multilingual | Claude 4 SonnetNot measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Inst. Following | Claude 4 SonnetNot measured | MarginNo overlap | Qwen3.7 Max84.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 72.7%B 80.4%Winner: Qwen3.7 MaxΔ 7.7SWE-bench Verified: Claude 4 Sonnet scored 72.7%; Qwen3.7 Max scored 80.4%. Qwen3.7 Max wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4 Sonnet | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4 Sonnet$3 input / $15 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4 Sonnet40 tok/s | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude 4 Sonnet1.33 s | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude 4 Sonnet200K | Qwen3.7 Max1M | Qwen3.7 Max lists the larger context window. |
Benchmark Deep Dive
Agentic22 benchmarks
| Benchmark | Claude 4 Sonnet | Qwen3.7 Max | Result |
|---|---|---|---|
| τ²-bench resultsSource | 52.3% | 94.7% | Qwen3.7 Max leads |
| Gert LabsSource | 39.66% | 64.27% | Qwen3.7 Max leads |
| JobBenchSource | 18.4% | — | 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 |
CodingQwen3.7 Max wins9 benchmarks
| Benchmark | Claude 4 Sonnet | Qwen3.7 Max | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 72.7% | 80.4% | Qwen3.7 Max leads |
| AA-SciCodeSource | 37.3% | 48.8% | Qwen3.7 Max leads |
| 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 |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Claude 4 Sonnet | Qwen3.7 Max | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 25.5% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 68.3% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 4.0% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | -9.2% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 22.4% | 30.1% | Qwen3.7 Max leads |
| AA-Omniscience Hallucination RateSource | 40.8% | 22.9% | Qwen3.7 Max leads |
| 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 |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, Claude 4 Sonnet or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 42.79. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 72.7% and 80.4%.
Which is better for coding, Claude 4 Sonnet or Qwen3.7 Max?
Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 72.7. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
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