Model comparison
Claude Sonnet 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 Sonnet 4.6 #32 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 4.6 and Qwen3 Max share 14 comparable benchmark results. 0 of 8 categories are comparable. 19 results are unique to Claude Sonnet 4.6; 0 to Qwen3 Max.
Updated July 23, 2026- Shared results
- 14
- Claude Sonnet 4.6 only
- 19
- Qwen3 Max only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Claude Sonnet 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.
Qwen3 Max has the larger context window at 1M, compared with 200K for Claude Sonnet 4.6.
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 Sonnet 4.6 | Δ | Qwen3 Max |
|---|---|---|---|
| Agentic | Claude Sonnet 4.665.2 | MarginNo overlap | Qwen3 MaxNot measured |
| Coding | Claude Sonnet 4.669.1 | MarginNo overlap | Qwen3 MaxNot measured |
| Knowledge | Claude Sonnet 4.666.0 | MarginNo overlap | Qwen3 MaxNot measured |
| Math | Claude Sonnet 4.626.4 | MarginNo overlap | Qwen3 MaxNot measured |
| Multimodal | Claude Sonnet 4.677.4 | MarginNo overlap | Qwen3 MaxNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 4.6 | Qwen3 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 4.6$3 input / $15 output | Qwen3 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Sonnet 4.644 tok/s | Qwen3 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 4.61.48 s | Qwen3 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 4.6200K | Qwen3 Max1M | Qwen3 Max lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Sonnet 4.6 | Qwen3 Max | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 59.1% | — | Not comparable |
| OSWorld-VerifiedSource | 72.1% | — | Not comparable |
| Claw-EvalSource | 67.8% | — | Not comparable |
| CyberGymSource | 65.2% | — | Not comparable |
| τ²-bench resultsSource | 79.5% | 74.3% | Claude Sonnet 4.6 leads |
| Gert LabsSource | 62.92% | 43.74% | Claude Sonnet 4.6 leads |
| OSWorld 2.0Source | 8.3% | — | Not comparable |
| JobBenchSource | 36.9% | — | Not comparable |
Coding7 benchmarks
| Benchmark | Claude Sonnet 4.6 | Qwen3 Max | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 79.6% | — | Not comparable |
| SWE-RebenchSource | 60.7% | — | Not comparable |
| React Native EvalsSource | 80.6% | — | Not comparable |
| Vibe Code BenchSource | 51.48% | 3.51% | Claude Sonnet 4.6 leads |
| cursorBench31Source | 48.8% | — | Not comparable |
| AA-SciCodeSource | 46.9% | 38.3% | Claude Sonnet 4.6 leads |
| FrontierCode 1.1 MainSource | 24.3% | — | Not comparable |
Reasoning2 benchmarks
Knowledge10 benchmarks
| Benchmark | Claude Sonnet 4.6 | Qwen3 Max | Result |
|---|---|---|---|
| GPQASource | 89.9% | — | Not comparable |
| SuperGPQASource | 95% | — | Not comparable |
| MMLU-ProSource | 79.2% | — | Not comparable |
| HLESource | 49% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 35.9% | 24.0% | Claude Sonnet 4.6 leads |
| AA-GPQA DiamondSource | 79.9% | 76.4% | Claude Sonnet 4.6 leads |
| AA-HLESource | 13.2% | 11.1% | Claude Sonnet 4.6 leads |
| AA-Omniscience IndexSource | -2.9% | -43.1% | Claude Sonnet 4.6 leads |
| AA-Omniscience AccuracySource | 38.0% | 24.4% | Claude Sonnet 4.6 leads |
| AA-Omniscience Hallucination RateSource | 65.9% | 89.4% | Claude Sonnet 4.6 leads |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Sonnet 4.6 | Qwen3 Max | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.2% | 44.1% | Qwen3 Max leads |
Frequently Asked Questions (3)
Can I compare Claude Sonnet 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 Sonnet 4.6 and Qwen3 Max today?
Claude Sonnet 4.6: $3.00 input / $15.00 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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