Model comparison
Qwen3.6 Plus vs Qwen3.7 Max
Head-to-head evidence from 36 shared benchmark results across 8 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3.6 Plus #30 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.6 Plus and Qwen3.7 Max share 36 comparable benchmark results. 7 of 8 categories are comparable. 24 results are unique to Qwen3.6 Plus; 22 to Qwen3.7 Max.
Updated July 23, 2026- Shared results
- 36
- Qwen3.6 Plus only
- 24
- Qwen3.7 Max only
- 22
- Comparable categories
- 7 / 8
Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.6 Plus only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Confidence note. This is a partial-evidence comparison with 36 shared benchmark results across 8 evidence categories; 7 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 65.2. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.7 Max's sharpest advantage is in mathematics, where it averages 97.1 against 60.5. The single biggest benchmark swing on the page is HLE, 28.8% to 41.4%.
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 | Qwen3.6 Plus | Δ | Qwen3.7 Max |
|---|---|---|---|
| Math | Qwen3.6 Plus60.5 | Margin→ 36.6 | Qwen3.7 Max97.1 |
| Reasoning | Qwen3.6 Plus62.0 | Margin→ 28.4 | Qwen3.7 Max90.4 |
| Agentic | Qwen3.6 Plus61.6 | Margin→ 8.1 | Qwen3.7 Max69.7 |
| Coding | Qwen3.6 Plus70.3 | Margin→ 7.6 | Qwen3.7 Max77.9 |
| Knowledge | Qwen3.6 Plus57.1 | Margin→ 7.1 | Qwen3.7 Max64.2 |
| Multilingual | Qwen3.6 Plus84.7 | Margin→ 2.3 | Qwen3.7 Max87.0 |
| Inst. Following | Qwen3.6 Plus82.3 | Margin→ 2.1 | Qwen3.7 Max84.4 |
| Multimodal | Qwen3.6 Plus79.8 | MarginNo overlap | Qwen3.7 MaxNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 28.8%B 41.4%Winner: Qwen3.7 MaxΔ 12.6HLE: Qwen3.6 Plus scored 28.8%; Qwen3.7 Max scored 41.4%. Qwen3.7 Max wins this benchmark. - Source ↗
HMMT Feb 2026
MathA 87.8%B 97.1%Winner: Qwen3.7 MaxΔ 9.3HMMT Feb 2026: Qwen3.6 Plus scored 87.8%; Qwen3.7 Max scored 97.1%. Qwen3.7 Max wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 61.6%B 69.7%Winner: Qwen3.7 MaxΔ 8.1Terminal-Bench 2.0: Qwen3.6 Plus scored 61.6%; Qwen3.7 Max scored 69.7%. Qwen3.7 Max wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 56.6%B 60.6%Winner: Qwen3.7 MaxΔ 4SWE-bench Pro: Qwen3.6 Plus scored 56.6%; Qwen3.7 Max scored 60.6%. Qwen3.7 Max wins this benchmark. - Source ↗
IFBench
Inst. FollowingA 75.8%B 79.1%Winner: Qwen3.7 MaxΔ 3.3IFBench: Qwen3.6 Plus scored 75.8%; Qwen3.7 Max scored 79.1%. Qwen3.7 Max wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.6 Plus | Qwen3.7 Max | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.6 PlusNot available | Qwen3.7 MaxNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.6 PlusNot available | Qwen3.7 MaxNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.6 PlusNot available | Qwen3.7 MaxNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.6 Plus1M | Qwen3.7 Max1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticQwen3.7 Max wins26 benchmarks
| Benchmark | Qwen3.6 Plus | Qwen3.7 Max | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 61.6% | 69.7% | Qwen3.7 Max leads |
| Claw-EvalSource | 58.8% | 65.2% | Qwen3.7 Max leads |
| QwenClawBenchSource | 57.2% | 64.3% | Qwen3.7 Max leads |
| τ³-bench resultsSource | 70.7% | — | Not comparable |
| VITA-BenchSource | 44.3% | 47.9% | Qwen3.7 Max leads |
| DeepPlanningSource | 41.5% | — | Not comparable |
| ToolathlonSource | 39.8% | — | Not comparable |
| MCP AtlasSource | 48.2% | 76.4% | Qwen3.7 Max leads |
| MCP-TasksSource | 74.1% | — | Not comparable |
| WideResearchSource | 74.3% | — | Not comparable |
| AA Agentic IndexSource | 27.6% | 30.6% | Qwen3.7 Max leads |
| τ²-bench resultsSource | 97.7% | 94.7% | Qwen3.6 Plus leads |
| GDPval-AASource | 31.8% | 38.7% | Qwen3.7 Max leads |
| GDPval-AASource | 1135 | 1273 | Qwen3.7 Max leads |
| Gert LabsSource | 50.60% | 64.27% | Qwen3.7 Max leads |
| ResearchClawBenchSource | 18.0% | 18.7% | Qwen3.7 Max leads |
| QwenWebBenchSource | — | 1568 | Not comparable |
| BFCL v4Source | — | 75.0% | Not comparable |
| HLE w/ toolsSource | — | 53.5% | Not comparable |
| AA BriefcaseSource | — | 908 | Not comparable |
| AA AutomationBenchSource | — | 25.6% | Not comparable |
| AA EnterpriseOps-GymSource | — | 45.0% | Not comparable |
| AA ITBenchSource | — | 42.5% | Not comparable |
| terminalBenchHardSource | — | 50.8% | Not comparable |
| aaTerminalBench21Source | — | 74.5% | Not comparable |
| AA Harvey LABSource | — | 83.4% | Not comparable |
CodingQwen3.7 Max wins11 benchmarks
| Benchmark | Qwen3.6 Plus | Qwen3.7 Max | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 78.8% | 80.4% | Qwen3.7 Max leads |
| SWE-bench ProSource | 56.6% | 60.6% | Qwen3.7 Max leads |
| SWE MultilingualSource | 73.8% | 78.3% | Qwen3.7 Max leads |
| LiveCodeBench v6Source | 87.1% | — | Not comparable |
| Vibe Code BenchSource | 25.56% | — | Not comparable |
| AA Coding IndexSource | 54.5% | 66.0% | Qwen3.7 Max leads |
| AA-SciCodeSource | 40.7% | 48.8% | Qwen3.7 Max leads |
| NL2RepoSource | — | 47.2% | Not comparable |
| SciCodeSource | — | 53.5% | Not comparable |
| LiveCodeBenchSource | — | 91.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 69.7% | Not comparable |
ReasoningQwen3.7 Max wins5 benchmarks
KnowledgeQwen3.7 Max wins14 benchmarks
| Benchmark | Qwen3.6 Plus | Qwen3.7 Max | Result |
|---|---|---|---|
| GPQASource | 90.4% | 92.4% | Qwen3.7 Max leads |
| SuperGPQASource | 71.6% | 73.6% | Qwen3.7 Max leads |
| MMLU-ProSource | 88.5% | 89.6% | Qwen3.7 Max leads |
| MMLU-ReduxSource | 94.5% | 95% | Qwen3.7 Max leads |
| C-EvalSource | 93.3% | — | Not comparable |
| HLESource | 28.8% | 41.4% | Qwen3.7 Max leads |
| Artificial Analysis Intelligence IndexSource | 39.6% | 46.0% | Qwen3.7 Max leads |
| AA-GPQA DiamondSource | 88.2% | 92.3% | Qwen3.7 Max leads |
| AA-HLESource | 25.7% | 38.1% | Qwen3.7 Max leads |
| AA-Omniscience IndexSource | 2.7% | 14.1% | Qwen3.7 Max leads |
| AA-Omniscience AccuracySource | 26.2% | 30.1% | Qwen3.7 Max leads |
| AA-Omniscience Hallucination RateSource | 32.0% | 22.9% | Qwen3.7 Max leads |
| GPQA-DSource | — | 92.4% | Not comparable |
| MMMLUSource | — | 90.3% | Not comparable |
MathQwen3.7 Max wins9 benchmarks
| Benchmark | Qwen3.6 Plus | Qwen3.7 Max | Result |
|---|---|---|---|
| AIME26Source | 95.3% | — | Not comparable |
| HMMT Feb 2025Source | 96.7% | — | Not comparable |
| HMMT Nov 2025Source | 94.6% | — | Not comparable |
| HMMT Feb 2026Source | 87.8% | 97.1% | Qwen3.7 Max leads |
| MMAnswerBenchSource | 83.8% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 26.207% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 8.333% | — | Not comparable |
| IMOAnswerBenchSource | — | 90.0% | Not comparable |
| ApexSource | — | 44.5% | Not comparable |
MultilingualQwen3.7 Max wins5 benchmarks
Multimodal9 benchmarks
| Benchmark | Qwen3.6 Plus | Qwen3.7 Max | Result |
|---|---|---|---|
| MMMUSource | 86.0% | — | Not comparable |
| MMMU-ProSource | 78.8% | — | Not comparable |
| MathVisionSource | 88.0% | — | Not comparable |
| VideoMMMUSource | 84.0% | — | Not comparable |
| ScreenSpot ProSource | 68.2% | — | Not comparable |
| CharXivSource | 81.5% | — | Not comparable |
| V*Source | 96.9% | — | Not comparable |
| AA-MMMU-ProSource | 78.0% | — | Not comparable |
| Design Arena WebsiteSource | 1249 | 1293 | Qwen3.7 Max leads |
Frequently Asked Questions (8)
Which is better, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 65.2. The biggest single separator in this matchup is HLE, where the scores are 28.8% and 41.4%.
Which is better for knowledge tasks, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 57.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 70.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for math, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 60.5. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.
Which is better for reasoning, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 62. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 61.6. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for instruction following, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for instruction following in this comparison, averaging 84.4 versus 82.3. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.
Which is better for multilingual tasks, Qwen3.6 Plus or Qwen3.7 Max?
Qwen3.7 Max has the edge for multilingual tasks in this comparison, averaging 87 versus 84.7. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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