Model comparison
Claude Opus 4.8 vs Qwen3.7 Max
Head-to-head evidence from 33 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Claude Opus 4.8 #3; Qwen3.7 Max #4
Evidence parity. Claude Opus 4.8 and Qwen3.7 Max share 33 comparable benchmark results. 4 of 8 categories are comparable. 20 results are unique to Claude Opus 4.8; 24 to Qwen3.7 Max.
Updated July 12, 2026- Shared results
- 33
- Claude Opus 4.8 only
- 20
- Qwen3.7 Max only
- 24
- Comparable categories
- 4 / 8
Pick Claude Opus 4.8 if you want the stronger benchmark profile. Qwen3.7 Max only becomes the better choice if mathematics is the priority.
Confidence note. This is a partial-evidence comparison with 33 shared benchmark results across 7 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Opus 4.8 has the cleaner provisional overall profile here, landing at 85 versus 83. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Claude Opus 4.8's sharpest advantage is in agentic, where it averages 80.3 against 69.7. The single biggest benchmark swing on the page is HLE, 57.9% to 41.4%. Qwen3.7 Max does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
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 Opus 4.8 | Δ | Qwen3.7 Max |
|---|---|---|---|
| Math | Claude Opus 4.853.9 | Margin→ 43.2 | Qwen3.7 Max97.1 |
| Agentic | Claude Opus 4.880.3 | Margin← 10.6 | Qwen3.7 Max69.7 |
| Coding | Claude Opus 4.876.4 | Margin← 2.3 | Qwen3.7 Max74.1 |
| Knowledge | Claude Opus 4.862.7 | Margin→ 1.8 | Qwen3.7 Max64.5 |
| Reasoning | Claude Opus 4.8Not measured | MarginNo overlap | Qwen3.7 Max90.4 |
| Multilingual | Claude Opus 4.8Not measured | MarginNo overlap | Qwen3.7 Max87.0 |
| Multimodal | Claude Opus 4.877.0 | MarginNo overlap | Qwen3.7 MaxNot measured |
| Inst. Following | Claude Opus 4.8Not measured | MarginNo overlap | Qwen3.7 Max84.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 57.9%B 41.4%Winner: Claude Opus 4.8Δ 16.5HLE: Claude Opus 4.8 scored 57.9%; Qwen3.7 Max scored 41.4%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 69.2%B 60.6%Winner: Claude Opus 4.8Δ 8.6SWE-bench Pro: Claude Opus 4.8 scored 69.2%; Qwen3.7 Max scored 60.6%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 88.6%B 80.4%Winner: Claude Opus 4.8Δ 8.2SWE-bench Verified: Claude Opus 4.8 scored 88.6%; Qwen3.7 Max scored 80.4%. Claude Opus 4.8 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 74.6%B 69.7%Winner: Claude Opus 4.8Δ 4.9Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; Qwen3.7 Max scored 69.7%. Claude Opus 4.8 wins this benchmark. - Source ↗
GPQA
KnowledgeA 93.6%B 92.4%Winner: Claude Opus 4.8Δ 1.2GPQA: Claude Opus 4.8 scored 93.6%; Qwen3.7 Max scored 92.4%. Claude Opus 4.8 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.8 | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.8Not available | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | Qwen3.7 Max1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticClaude Opus 4.8 wins26 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | 69.7% | Claude Opus 4.8 leads |
| BrowseCompSource | 84.3% | — | Not comparable |
| DeepSearchQASource | 93.1% | — | Not comparable |
| OSWorld-VerifiedSource | 83.4% | — | Not comparable |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1600 | 1275 | Claude Opus 4.8 leads |
| MCP AtlasSource | 82.2% | 76.4% | Claude Opus 4.8 leads |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | 64.27% | Claude Opus 4.8 leads |
| AA Agentic IndexSource | 47.2% | 30.6% | Claude Opus 4.8 leads |
| Tau2-TelecomSource | 94.4% | 94.7% | Qwen3.7 Max leads |
| GDPval-AASource | 55.0% | 38.7% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 21.1% | 18.7% | Claude Opus 4.8 leads |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1354 | 907 | Claude Opus 4.8 leads |
| AA AutomationBenchSource | 48.5% | 25.6% | Claude Opus 4.8 leads |
| AA EnterpriseOps-GymSource | 44.0% | 44.5% | Qwen3.7 Max leads |
| AA Harvey LABSource | 7.5% | — | Not comparable |
| AA Tau3 BankingSource | 27.6% | — | Not comparable |
| QwenClawBenchSource | — | 64.3% | Not comparable |
| QwenWebBenchSource | — | 1568 | Not comparable |
| Claw-EvalSource | — | 65.2% | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| VITA-BenchSource | — | 47.9% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
CodingClaude Opus 4.8 wins15 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | 80.4% | Claude Opus 4.8 leads |
| SWE-bench ProSource | 69.2% | 60.6% | Claude Opus 4.8 leads |
| SWE MultilingualSource | 84.4% | 78.3% | Claude Opus 4.8 leads |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | 69.7% | Claude Opus 4.8 leads |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | — | Not comparable |
| AA Coding IndexSource | 74.3% | 66.0% | Claude Opus 4.8 leads |
| Terminal-Bench HardSource | 58.3% | 50.8% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 48.8% | Claude Opus 4.8 leads |
| FrontierCodeSource | 46.5% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.6% | 74.5% | Claude Opus 4.8 leads |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3.7 Max wins14 benchmarks
| Benchmark | Claude Opus 4.8 | Qwen3.7 Max | Result |
|---|---|---|---|
| GPQASource | 93.6% | 92.4% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | 92.4% | Claude Opus 4.8 leads |
| HLESource | 57.9% | 41.4% | Claude Opus 4.8 leads |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | 46.0% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 45.7% | 38.1% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | 14.1% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 30.1% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 22.9% | Qwen3.7 Max leads |
| MMLU-ProSource | — | 89.6% | Not comparable |
| MMLU-ReduxSource | — | 95% | Not comparable |
| SuperGPQASource | — | 73.6% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
MathQwen3.7 Max wins6 benchmarks
Multilingual5 benchmarks
Multimodal5 benchmarks
Frequently Asked Questions (5)
Which is better, Claude Opus 4.8 or Qwen3.7 Max?
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 83. The biggest single separator in this matchup is HLE, where the scores are 57.9% and 41.4%.
Which is better for knowledge tasks, Claude Opus 4.8 or Qwen3.7 Max?
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.5 versus 62.7. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.8 or Qwen3.7 Max?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 74.1. Inside this category, AA Terminal-Bench 2.1 is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.8 or Qwen3.7 Max?
Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 53.9. Claude Opus 4.8 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Claude Opus 4.8 or Qwen3.7 Max?
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 69.7. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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