Model comparison
Claude 4.1 Opus Thinking vs Qwen3.5 397B
Head-to-head evidence from 9 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); Qwen3.5 397B #71 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude 4.1 Opus Thinking and Qwen3.5 397B share 9 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 4.1 Opus Thinking; 46 to Qwen3.5 397B.
Updated July 20, 2026- Shared results
- 9
- Claude 4.1 Opus Thinking only
- 0
- Qwen3.5 397B only
- 46
- Comparable categories
- 0 / 8
Benchmark data for Claude 4.1 Opus Thinking and Qwen3.5 397B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 9 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.
Claude 4.1 Opus Thinking has the larger context window at 200K, 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 4.1 Opus Thinking | Δ | Qwen3.5 397B |
|---|---|---|---|
| Agentic | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B56.5 |
| Coding | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B66.5 |
| Reasoning | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B63.2 |
| Knowledge | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B56.6 |
| Math | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B90.6 |
| Multilingual | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B84.7 |
| Multimodal | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B79.6 |
| Inst. Following | Claude 4.1 Opus ThinkingNot measured | MarginNo overlap | Qwen3.5 397B92.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude 4.1 Opus Thinking | Qwen3.5 397B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude 4.1 Opus ThinkingNot available | Qwen3.5 397B$0.6 input / $3.6 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude 4.1 Opus Thinking29 tok/s | Qwen3.5 397B96 tok/s | Qwen3.5 397B has the higher measured throughput. |
| First-answer latencyseconds to first token | Claude 4.1 Opus Thinking15.00 s | Qwen3.5 397B2.44 s | Qwen3.5 397B reaches the first token sooner. |
| Context windowmaximum listed tokens | Claude 4.1 Opus Thinking200K | Qwen3.5 397B128K | Claude 4.1 Opus Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic18 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | Qwen3.5 397B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 71.4% | 95.6% | Qwen3.5 397B leads |
| Terminal-Bench 2.0Source | — | 52.5% | Not comparable |
| BrowseCompSource | — | 62% | 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 |
| Gert LabsSource | — | 46.76% | Not comparable |
| ResearchClawBenchSource | — | 14.2% | Not comparable |
| AA Agentic IndexSource | — | 19.9% | Not comparable |
| APEX-Agents-AASource | — | 15.3% | Not comparable |
| GDPval-AASource | — | 23.1% | Not comparable |
| GDPval-AASource | — | 962 | Not comparable |
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | Qwen3.5 397B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 33.7% | 33.7% | Claude 4.1 Opus Thinking leads |
| AA-GPQA DiamondSource | 80.9% | 89.3% | Qwen3.5 397B leads |
| AA-HLESource | 11.9% | 27.3% | Qwen3.5 397B 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 |
| HLESource | — | 28.7% | Not comparable |
| AA-Omniscience IndexSource | — | -29.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 31.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 89.1% | Not comparable |
Math5 benchmarks
Multilingual2 benchmarks
Multimodal7 benchmarks
| Benchmark | Claude 4.1 Opus Thinking | Qwen3.5 397B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 67.9% | 77.3% | Qwen3.5 397B leads |
| MMMU-ProSource | — | 79% | Not comparable |
| MathVisionSource | — | 88.6% | Not comparable |
| CharXivSource | — | 80.8% | Not comparable |
| VideoMMMUSource | — | 84.7% | Not comparable |
| ScreenSpot ProSource | — | 65.6% | Not comparable |
| V*Source | — | 95.8% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude 4.1 Opus Thinking and Qwen3.5 397B 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 4.1 Opus Thinking and Qwen3.5 397B today?
Claude 4.1 Opus Thinking: Pricing unavailable Qwen3.5 397B: $0.60 input / $3.60 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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