Model comparison
Claude Opus 4.6 vs Qwen3 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 Opus 4.6 #16 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.6 and Qwen3 Max share 14 comparable benchmark results. 0 of 8 categories are comparable. 32 results are unique to Claude Opus 4.6; 0 to Qwen3 Max.
Updated July 23, 2026- Shared results
- 14
- Claude Opus 4.6 only
- 32
- Qwen3 Max only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.6 and Qwen3 Max is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
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 Max |
|---|---|---|---|
| Agentic | Claude Opus 4.673.0 | MarginNo overlap | Qwen3 MaxNot measured |
| Coding | Claude Opus 4.668.1 | MarginNo overlap | Qwen3 MaxNot measured |
| Knowledge | Claude Opus 4.669.1 | MarginNo overlap | Qwen3 MaxNot measured |
| Math | Claude Opus 4.636.3 | MarginNo overlap | Qwen3 MaxNot measured |
| Multimodal | Claude Opus 4.677.3 | MarginNo overlap | Qwen3 MaxNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.6 | Qwen3 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.6$5 input / $25 output | Qwen3 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.640 tok/s | Qwen3 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.61.78 s | Qwen3 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.61M | Qwen3 Max1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic10 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 Max | 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% | 74.3% | Claude Opus 4.6 leads |
| Claw-EvalSource | 70.4% | — | Not comparable |
| DeepSearchQASource | 73.7% | — | Not comparable |
| CyberGymSource | 66.6% | — | Not comparable |
| Gert LabsSource | 61.85% | 43.74% | Claude Opus 4.6 leads |
| ResearchClawBenchSource | 19.9% | — | Not comparable |
| JobBenchSource | 36.7% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 Max | 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% | 3.51% | Claude Opus 4.6 leads |
| AA-SciCodeSource | 45.7% | 38.3% | Claude Opus 4.6 leads |
| FrontierCode 1.1 MainSource | 26.9% | — | Not comparable |
Reasoning2 benchmarks
Knowledge15 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 Max | Result |
|---|---|---|---|
| GPQASource | 91.3% | — | Not comparable |
| GPQA-DSource | 89.2% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 82% | — | Not comparable |
| 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% | 24.0% | Claude Opus 4.6 leads |
| AA-GPQA DiamondSource | 84.0% | 76.4% | Claude Opus 4.6 leads |
| AA-HLESource | 18.6% | 11.1% | Claude Opus 4.6 leads |
| AA-Omniscience IndexSource | 3.5% | -43.1% | Claude Opus 4.6 leads |
| AA-Omniscience AccuracySource | 45.2% | 24.4% | Claude Opus 4.6 leads |
| AA-Omniscience Hallucination RateSource | 76.0% | 89.4% | Claude Opus 4.6 leads |
Math3 benchmarks
Multimodal6 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.6 | Qwen3 Max | Result |
|---|---|---|---|
| AA-IFBenchSource | 44.6% | 44.1% | Claude Opus 4.6 leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.6 and Qwen3 Max on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.6 and Qwen3 Max today?
Claude Opus 4.6: $5.00 input / $25.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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