Model comparison
Claude Opus 4.6 vs Qwen3 235B 2507
Head-to-head evidence from 3 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.6 #16 (Supported); Qwen3 235B 2507 #78 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Qwen3 235B 2507 share 3 comparable benchmark results. 1 of 8 categories are comparable. 43 results are unique to Claude Opus 4.6; 1 to Qwen3 235B 2507.
Updated July 20, 2026- Shared results
- 3
- Claude Opus 4.6 only
- 43
- Qwen3 235B 2507 only
- 1
- Comparable categories
- 1 / 8
Pick Claude Opus 4.6 if you want the stronger benchmark profile. Qwen3 235B 2507 only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 1 evidence category; 1 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 4.6 is clearly ahead on the BenchAlign aggregate, 68.59 to 56.02. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507. That is roughly Infinityx on output cost alone. Claude Opus 4.6 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 | Claude Opus 4.6 | Δ | Qwen3 235B 2507 |
|---|---|---|---|
| Knowledge | Claude Opus 4.669.1 | Margin→ 9.8 | Qwen3 235B 250778.9 |
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | Qwen3 235B 2507Not measured |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | Qwen3 235B 2507Not measured |
| Math | Claude Opus 4.636.3 | MarginNo overlap | Qwen3 235B 2507Not measured |
| Multilingual | Claude Opus 4.6Not measured | MarginNo overlap | Qwen3 235B 250779.4 |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | Qwen3 235B 2507Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SuperGPQA
KnowledgeA 95%B 62.6%Winner: Claude Opus 4.6Δ 32.4SuperGPQA: Claude Opus 4.6 scored 95%; Qwen3 235B 2507 scored 62.6%. Claude Opus 4.6 wins this benchmark. - Source ↗
GPQA
KnowledgeA 91.3%B 77.5%Winner: Claude Opus 4.6Δ 13.8GPQA: Claude Opus 4.6 scored 91.3%; Qwen3 235B 2507 scored 77.5%. Claude Opus 4.6 wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 82%B 83%Winner: Qwen3 235B 2507Δ 1MMLU-Pro: Claude Opus 4.6 scored 82%; Qwen3 235B 2507 scored 83%. Qwen3 235B 2507 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | Qwen3 235B 2507 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Qwen3 235B 2507$0 input / $0 output | Qwen3 235B 2507 has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | Qwen3 235B 2507Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | Qwen3 235B 2507Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Qwen3 235B 2507128K | Claude Opus 4.6 lists the larger context window. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 235B 2507 | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 65.4% | — | Not comparable |
| BrowseCompSource | 83.7% | — | Not comparable |
| OSWorld-VerifiedSource | 72.7% | — | Not comparable |
| τ²-bench resultsSource | 84.8% | — | Not comparable |
| Claw-EvalSource | 70.4% | — | Not comparable |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | — | Not comparable |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 235B 2507 | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 80.8% | — | Not comparable |
| SWE-bench Verified*Source | 75.6% | — | Not comparable |
| LiveCodeBench ProSource | 70.7% | — | Not comparable |
| SWE-bench ProSource | 53.4% | — | Not comparable |
| SWE-RebenchSource | 65.3% | — | Not comparable |
| React Native EvalsSource | 84.1% | — | Not comparable |
| Vibe Code BenchSource | 57.57% | — | Not comparable |
| AA-SciCodeSource | 45.7% | — | Not comparable |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
Reasoning2 benchmarks
KnowledgeQwen3 235B 2507 wins15 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 235B 2507 | Result |
|---|---|---|---|
| GPQASource | 91.3% | 77.5% | Claude Opus 4.6 leads |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | 62.6% | Claude Opus 4.6 leads |
| MMLU-ProSource | 82% | 83% | Qwen3 235B 2507 leads |
| MMLU-Pro (Arcee)Source | 89.1% | — | Not comparable |
| HLESource | 53% | — | Not comparable |
| HLE w/o toolsSource | 40% | — | Not comparable |
| HealthBench HardSource | 14.8% | — | Not comparable |
| MedXpertQA (Text)Source | 52.1% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 37.8% | — | Not comparable |
| AA-GPQA DiamondSource | 84.0% | — | Not comparable |
| AA-HLESource | 18.6% | — | Not comparable |
| AA-Omniscience IndexSource | 3.5% | — | Not comparable |
| AA-Omniscience AccuracySource | 45.2% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 76.0% | — | Not comparable |
Math3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 235B 2507 | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 79.4% | Not comparable |
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 235B 2507 | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Opus 4.6 or Qwen3 235B 2507?
Claude Opus 4.6 is ahead on BenchLM's BenchAlign leaderboard, 68.59 to 56.02. The biggest single separator in this matchup is SuperGPQA, where the scores are 95% and 62.6%.
Which is better for knowledge tasks, Claude Opus 4.6 or Qwen3 235B 2507?
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 69.1. Inside this category, SuperGPQA is the benchmark that creates the most daylight between them.
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