Model comparison
Claude Sonnet 5 vs Qwen3.5 397B
Head-to-head evidence from 20 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Sonnet 5 #29 (Estimated); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Sonnet 5 and Qwen3.5 397B share 20 comparable benchmark results. 4 of 8 categories are comparable. 16 results are unique to Claude Sonnet 5; 35 to Qwen3.5 397B.
Updated July 23, 2026- Shared results
- 20
- Claude Sonnet 5 only
- 16
- Qwen3.5 397B only
- 35
- Comparable categories
- 4 / 8
Pick Claude Sonnet 5 if you want the stronger benchmark profile. Qwen3.5 397B only becomes the better choice if you want the cheaper token bill or you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 5 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 Sonnet 5 is clearly ahead on the BenchAlign aggregate, 65.32 to 57.01. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Sonnet 5's sharpest advantage is in agentic, where it averages 81.9 against 56.5. The single biggest benchmark swing on the page is HLE, 57.4% to 28.7%.
Claude Sonnet 5 is also the more expensive model on tokens at $2.00 input / $10.00 output per 1M tokens, versus $0.60 input / $3.60 output per 1M tokens for Qwen3.5 397B. That is roughly 2.8x on output cost alone. Claude Sonnet 5 is the reasoning model in the pair, while Qwen3.5 397B 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. Claude Sonnet 5 gives you the larger context window at 1M, compared with 128K for Qwen3.5 397B.
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 5 | Δ | Qwen3.5 397B |
|---|---|---|---|
| Agentic | Claude Sonnet 581.9 | Margin← 25.4 | Qwen3.5 397B56.5 |
| Coding | Claude Sonnet 576.7 | Margin← 10.2 | Qwen3.5 397B66.5 |
| Multimodal | Claude Sonnet 588.3 | Margin← 8.7 | Qwen3.5 397B79.6 |
| Knowledge | Claude Sonnet 557.4 | Margin← 0.8 | Qwen3.5 397B56.6 |
| Reasoning | Claude Sonnet 5Not measured | MarginNo overlap | Qwen3.5 397B63.2 |
| Math | Claude Sonnet 5Not measured | MarginNo overlap | Qwen3.5 397B90.6 |
| Multilingual | Claude Sonnet 5Not measured | MarginNo overlap | Qwen3.5 397B84.7 |
| Inst. Following | Claude Sonnet 5Not measured | MarginNo overlap | Qwen3.5 397B92.6 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 57.4%B 28.7%Winner: Claude Sonnet 5Δ 28.7HLE: Claude Sonnet 5 scored 57.4%; Qwen3.5 397B scored 28.7%. Claude Sonnet 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 80.4%B 52.5%Winner: Claude Sonnet 5Δ 27.9Terminal-Bench 2.0: Claude Sonnet 5 scored 80.4%; Qwen3.5 397B scored 52.5%. Claude Sonnet 5 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.7%B 62%Winner: Claude Sonnet 5Δ 22.7BrowseComp: Claude Sonnet 5 scored 84.7%; Qwen3.5 397B scored 62%. Claude Sonnet 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 63.2%B 50.9%Winner: Claude Sonnet 5Δ 12.3SWE-bench Pro: Claude Sonnet 5 scored 63.2%; Qwen3.5 397B scored 50.9%. Claude Sonnet 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 85.2%B 76.2%Winner: Claude Sonnet 5Δ 9SWE-bench Verified: Claude Sonnet 5 scored 85.2%; Qwen3.5 397B scored 76.2%. Claude Sonnet 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Sonnet 5 | Qwen3.5 397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Sonnet 5$2 input / $10 output | Qwen3.5 397B$0.6 input / $3.6 output | Qwen3.5 397B has the lower combined listed price. |
| Generation speedtokens per second | Claude Sonnet 5Not available | Qwen3.5 397B96 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Sonnet 5Not available | Qwen3.5 397B2.44 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Sonnet 51M | Qwen3.5 397B128K | Claude Sonnet 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Sonnet 5 wins26 benchmarks
| Benchmark | Claude Sonnet 5 | Qwen3.5 397B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 80.4% | 52.5% | Claude Sonnet 5 leads |
| BrowseCompSource | 84.7% | 62% | Claude Sonnet 5 leads |
| HLE w/ toolsSource | 57.4% | — | Not comparable |
| OSWorld-VerifiedSource | 81.2% | — | Not comparable |
| GDPval-AASource | 1607 | 962 | Claude Sonnet 5 leads |
| AA Agentic IndexSource | 46.7% | 19.9% | Claude Sonnet 5 leads |
| GDPval-AASource | 55.4% | 23.1% | Claude Sonnet 5 leads |
| AA BriefcaseSource | 1388 | — | Not comparable |
| AA AutomationBenchSource | 39.2% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.7% | — | Not comparable |
| AA Harvey LABSource | 90.1% | — | Not comparable |
| AA Tau3 BankingSource | 28.2% | — | Not comparable |
| aaTerminalBench21Source | 80.5% | — | Not comparable |
| Claw-EvalSource | — | 56.8% | Not comparable |
| QwenClawBenchSource | — | 51.8% | Not comparable |
| τ³-bench resultsSource | — | 68.4% | Not comparable |
| VITA-BenchSource | — | 43.7% | Not comparable |
| DeepPlanningSource | — | 37.6% | Not comparable |
| ToolathlonSource | — | 36.3% | Not comparable |
| MCP AtlasSource | — | 46.1% | Not comparable |
| MCP-TasksSource | — | 74.2% | Not comparable |
| WideResearchSource | — | 74.0% | Not comparable |
| τ²-bench resultsSource | — | 95.6% | Not comparable |
| Gert LabsSource | — | 46.76% | Not comparable |
| ResearchClawBenchSource | — | 14.2% | Not comparable |
| APEX-Agents-AASource | — | 15.3% | Not comparable |
CodingClaude Sonnet 5 wins10 benchmarks
| Benchmark | Claude Sonnet 5 | Qwen3.5 397B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 85.2% | 76.2% | Claude Sonnet 5 leads |
| SWE-bench ProSource | 63.2% | 50.9% | Claude Sonnet 5 leads |
| SWE MultilingualSource | 78.3% | — | Not comparable |
| SWE MultimodalSource | 28.1% | — | Not comparable |
| Terminal-Bench 2.0Source | 80.4% | — | Not comparable |
| FrontierCode 1.1 MainSource | 42.7% | — | Not comparable |
| cursorBench32Source | 61.5% | — | Not comparable |
| AA Coding IndexSource | 71.5% | 48.2% | Claude Sonnet 5 leads |
| AA-SciCodeSource | 53.6% | 42.0% | Claude Sonnet 5 leads |
| LiveCodeBench v6Source | — | 83.6% | Not comparable |
Reasoning4 benchmarks
KnowledgeClaude Sonnet 5 wins13 benchmarks
| Benchmark | Claude Sonnet 5 | Qwen3.5 397B | Result |
|---|---|---|---|
| HLESource | 57.4% | 28.7% | Claude Sonnet 5 leads |
| HLE w/o toolsSource | 43.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 53.4% | 33.7% | Claude Sonnet 5 leads |
| AA-GPQA DiamondSource | 91.1% | 89.3% | Claude Sonnet 5 leads |
| AA-HLESource | 39.6% | 27.3% | Claude Sonnet 5 leads |
| AA-Omniscience IndexSource | 15.3% | -29.8% | Claude Sonnet 5 leads |
| AA-Omniscience AccuracySource | 38.3% | 31.4% | Claude Sonnet 5 leads |
| AA-Omniscience Hallucination RateSource | 37.3% | 89.1% | Claude Sonnet 5 leads |
| GPQASource | — | 88.4% | Not comparable |
| SuperGPQASource | — | 70.4% | Not comparable |
| MMLU-ProSource | — | 87.8% | Not comparable |
| MMLU-ReduxSource | — | 94.9% | Not comparable |
| C-EvalSource | — | 93% | Not comparable |
Math5 benchmarks
Multilingual2 benchmarks
MultimodalClaude Sonnet 5 wins9 benchmarks
| Benchmark | Claude Sonnet 5 | Qwen3.5 397B | Result |
|---|---|---|---|
| CharXivSource | 88.3% | 80.8% | Claude Sonnet 5 leads |
| CharXiv w/o toolsSource | 77% | — | Not comparable |
| AA-MMMU-ProSource | 77.3% | 77.3% | Tie |
| Design Arena WebsiteSource | 1314 | — | Not comparable |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 88.6% | Not comparable |
| VideoMMMUSource | — | 84.7% | Not comparable |
| ScreenSpot ProSource | — | 65.6% | Not comparable |
| V*Source | — | 95.8% | Not comparable |
Frequently Asked Questions (5)
Which is better, Claude Sonnet 5 or Qwen3.5 397B?
Claude Sonnet 5 is ahead on BenchLM's BenchAlign leaderboard, 65.32 to 57.01. The biggest single separator in this matchup is HLE, where the scores are 57.4% and 28.7%.
Which is better for knowledge tasks, Claude Sonnet 5 or Qwen3.5 397B?
Claude Sonnet 5 has the edge for knowledge tasks in this comparison, averaging 57.4 versus 56.6. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Sonnet 5 or Qwen3.5 397B?
Claude Sonnet 5 has the edge for coding in this comparison, averaging 76.7 versus 66.5. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Sonnet 5 or Qwen3.5 397B?
Claude Sonnet 5 has the edge for agentic tasks in this comparison, averaging 81.9 versus 56.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Claude Sonnet 5 or Qwen3.5 397B?
Claude Sonnet 5 has the edge for multimodal and grounded tasks in this comparison, averaging 88.3 versus 79.6. Inside this category, CharXiv is the benchmark that creates the most daylight between them.
Related Comparisons
Choose a model with this week’s evidence
Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.
One email each week. Unsubscribe anytime.