Model comparison
Qwen3.6-35B-A3B vs Qwen3.6 Plus
Head-to-head evidence from 44 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Qwen3.6-35B-A3B #31; Qwen3.6 Plus #14
BenchAlign evidence: Qwen3.6-35B-A3B estimated; Qwen3.6 Plus supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.6-35B-A3B and Qwen3.6 Plus share 44 comparable benchmark results. 5 of 8 categories are comparable. 14 results are unique to Qwen3.6-35B-A3B; 17 to Qwen3.6 Plus.
Updated July 15, 2026- Shared results
- 44
- Qwen3.6-35B-A3B only
- 14
- Qwen3.6 Plus only
- 17
- Comparable categories
- 5 / 8
Pick Qwen3.6 Plus if you want the stronger benchmark profile. Qwen3.6-35B-A3B only becomes the better choice if mathematics is the priority.
Confidence note. This is a partial-evidence comparison with 44 shared benchmark results across 7 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.6 Plus is clearly ahead on the provisional aggregate, 63 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.6 Plus's sharpest advantage is in agentic, where it averages 61.6 against 51.5. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 51.5% to 61.6%. Qwen3.6-35B-A3B does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
Qwen3.6 Plus gives you the larger context window at 1M, compared with 262K for Qwen3.6-35B-A3B.
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 | Qwen3.6-35B-A3B | Δ | Qwen3.6 Plus |
|---|---|---|---|
| Math | Qwen3.6-35B-A3B88.2 | Margin← 27.7 | Qwen3.6 Plus60.5 |
| Agentic | Qwen3.6-35B-A3B51.5 | Margin→ 10.1 | Qwen3.6 Plus61.6 |
| Knowledge | Qwen3.6-35B-A3B51.8 | Margin→ 5.7 | Qwen3.6 Plus57.5 |
| Coding | Qwen3.6-35B-A3B73.8 | Margin← 3.5 | Qwen3.6 Plus70.3 |
| Multimodal | Qwen3.6-35B-A3B76.3 | Margin→ 3.5 | Qwen3.6 Plus79.8 |
| Reasoning | Qwen3.6-35B-A3BNot measured | MarginNo overlap | Qwen3.6 Plus62.0 |
| Multilingual | Qwen3.6-35B-A3BNot measured | MarginNo overlap | Qwen3.6 Plus84.7 |
| Inst. Following | Qwen3.6-35B-A3BNot measured | MarginNo overlap | Qwen3.6 Plus82.3 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 51.5%B 61.6%Winner: Qwen3.6 PlusΔ 10.1Terminal-Bench 2.0: Qwen3.6-35B-A3B scored 51.5%; Qwen3.6 Plus scored 61.6%. Qwen3.6 Plus wins this benchmark. - Source ↗
HLE
KnowledgeA 21.4%B 28.8%Winner: Qwen3.6 PlusΔ 7.4HLE: Qwen3.6-35B-A3B scored 21.4%; Qwen3.6 Plus scored 28.8%. Qwen3.6 Plus wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 49.5%B 56.6%Winner: Qwen3.6 PlusΔ 7.1SWE-bench Pro: Qwen3.6-35B-A3B scored 49.5%; Qwen3.6 Plus scored 56.6%. Qwen3.6 Plus wins this benchmark. - Source ↗
SuperGPQA
KnowledgeA 64.7%B 71.6%Winner: Qwen3.6 PlusΔ 6.9SuperGPQA: Qwen3.6-35B-A3B scored 64.7%; Qwen3.6 Plus scored 71.6%. Qwen3.6 Plus wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 73.4%B 78.8%Winner: Qwen3.6 PlusΔ 5.4SWE-bench Verified: Qwen3.6-35B-A3B scored 73.4%; Qwen3.6 Plus scored 78.8%. Qwen3.6 Plus wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.6-35B-A3B | Qwen3.6 Plus | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.6-35B-A3BNot available | Qwen3.6 PlusNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.6-35B-A3BNot available | Qwen3.6 PlusNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.6-35B-A3BNot available | Qwen3.6 PlusNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.6-35B-A3B262K | Qwen3.6 Plus1M | Qwen3.6 Plus lists the larger context window. |
Benchmark Deep Dive
AgenticQwen3.6 Plus wins17 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Qwen3.6 Plus | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 51.5% | 61.6% | Qwen3.6 Plus leads |
| Claw-EvalSource | 68.7% | 58.8% | Qwen3.6-35B-A3B leads |
| QwenClawBenchSource | 52.6% | 57.2% | Qwen3.6 Plus leads |
| QwenWebBenchSource | 1397 | — | Not comparable |
| τ³-bench resultsSource | 67.2% | 70.7% | Qwen3.6 Plus leads |
| VITA-BenchSource | 35.6% | 44.3% | Qwen3.6 Plus leads |
| DeepPlanningSource | 25.9% | 41.5% | Qwen3.6 Plus leads |
| ToolathlonSource | 26.9% | 39.8% | Qwen3.6 Plus leads |
| MCP AtlasSource | 62.8% | 48.2% | Qwen3.6-35B-A3B leads |
| WideResearchSource | 60.1% | 74.3% | Qwen3.6 Plus leads |
| AA Agentic IndexSource | 21.4% | 27.6% | Qwen3.6 Plus leads |
| τ²-bench resultsSource | 95.3% | 97.7% | Qwen3.6 Plus leads |
| GDPval-AASource | 27.4% | 31.8% | Qwen3.6 Plus leads |
| GDPval-AASource | 1049 | 1135 | Qwen3.6 Plus leads |
| Gert LabsSource | 42.65% | 50.60% | Qwen3.6 Plus leads |
| MCP-TasksSource | — | 74.1% | Not comparable |
| ResearchClawBenchSource | — | 18.0% | Not comparable |
CodingQwen3.6-35B-A3B wins11 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Qwen3.6 Plus | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.4% | 78.8% | Qwen3.6 Plus leads |
| SWE MultilingualSource | 67.2% | 73.8% | Qwen3.6 Plus leads |
| SWE-bench ProSource | 49.5% | 56.6% | Qwen3.6 Plus leads |
| Terminal-Bench 2.0Source | 51.5% | — | Not comparable |
| LiveCodeBenchSource | 80.4% | — | Not comparable |
| NL2RepoSource | 29.4% | — | Not comparable |
| AA Coding IndexSource | 41.9% | 54.5% | Qwen3.6 Plus leads |
| Terminal-Bench HardSource | 34.8% | 43.9% | Qwen3.6 Plus leads |
| AA-SciCodeSource | 35.8% | 40.7% | Qwen3.6 Plus leads |
| LiveCodeBench v6Source | — | 87.1% | Not comparable |
| Vibe Code BenchSource | — | 25.56% | Not comparable |
Reasoning4 benchmarks
KnowledgeQwen3.6 Plus wins12 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Qwen3.6 Plus | Result |
|---|---|---|---|
| MMLU-ProSource | 85.2% | 88.5% | Qwen3.6 Plus leads |
| SuperGPQASource | 64.7% | 71.6% | Qwen3.6 Plus leads |
| C-EvalSource | 90% | 93.3% | Qwen3.6 Plus leads |
| GPQASource | 86% | 90.4% | Qwen3.6 Plus leads |
| HLESource | 21.4% | 28.8% | Qwen3.6 Plus leads |
| Artificial Analysis Intelligence IndexSource | 31.6% | 39.6% | Qwen3.6 Plus leads |
| AA-GPQA DiamondSource | 84.1% | 88.2% | Qwen3.6 Plus leads |
| AA-HLESource | 20.2% | 25.7% | Qwen3.6 Plus leads |
| AA-Omniscience IndexSource | -21.4% | 2.7% | Qwen3.6 Plus leads |
| AA-Omniscience AccuracySource | 18.9% | 26.2% | Qwen3.6 Plus leads |
| AA-Omniscience Hallucination RateSource | 49.7% | 32.0% | Qwen3.6 Plus leads |
| MMLU-ReduxSource | — | 94.5% | Not comparable |
MathQwen3.6-35B-A3B wins7 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Qwen3.6 Plus | Result |
|---|---|---|---|
| HMMT Feb 2025Source | 90.7% | 96.7% | Qwen3.6 Plus leads |
| HMMT Nov 2025Source | 89.1% | 94.6% | Qwen3.6 Plus leads |
| HMMT Feb 2026Source | 83.6% | 87.8% | Qwen3.6 Plus leads |
| MMAnswerBenchSource | 78.9% | 83.8% | Qwen3.6 Plus leads |
| AIME26Source | 92.7% | 95.3% | Qwen3.6 Plus leads |
| FrontierMath v2 (Tiers 1-3)Source | — | 26.207% | Not comparable |
| FrontierMath v2 (Tier 4)Source | — | 8.333% | Not comparable |
Multilingual2 benchmarks
MultimodalQwen3.6 Plus wins19 benchmarks
| Benchmark | Qwen3.6-35B-A3B | Qwen3.6 Plus | Result |
|---|---|---|---|
| MMMUSource | 81.7% | 86.0% | Qwen3.6 Plus leads |
| MMMU-ProSource | 75.3% | 78.8% | Qwen3.6 Plus leads |
| RealWorldQASource | 85.3% | — | Not comparable |
| OmniDocBench 1.5Source | 89.9% | — | Not comparable |
| CharXivSource | 78% | 81.5% | Qwen3.6 Plus leads |
| SimpleVQASource | 58.9% | — | Not comparable |
| CC-OCRSource | 81.9% | — | Not comparable |
| AI2D_TESTSource | 92.7% | — | Not comparable |
| RefCOCO (avg)Source | 92.0% | — | Not comparable |
| ODINW13Source | 50.8% | — | Not comparable |
| Video-MME (with subtitle)Source | 86.6% | — | Not comparable |
| Video-MME (w/o subtitle)Source | 82.5% | — | Not comparable |
| VideoMMMUSource | 83.7% | 84.0% | Qwen3.6 Plus leads |
| MLVU (M-Avg)Source | 86.2% | — | Not comparable |
| AA-MMMU-ProSource | 75.0% | 78.0% | Qwen3.6 Plus leads |
| MathVisionSource | — | 88.0% | Not comparable |
| ScreenSpot ProSource | — | 68.2% | Not comparable |
| V*Source | — | 96.9% | Not comparable |
| Design Arena WebsiteSource | — | 1254 | Not comparable |
Frequently Asked Questions (6)
Which is better, Qwen3.6-35B-A3B or Qwen3.6 Plus?
Qwen3.6 Plus is ahead on BenchLM's provisional leaderboard, 63 to 59. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 51.5% and 61.6%.
Which is better for knowledge tasks, Qwen3.6-35B-A3B or Qwen3.6 Plus?
Qwen3.6 Plus has the edge for knowledge tasks in this comparison, averaging 57.5 versus 51.8. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Qwen3.6-35B-A3B or Qwen3.6 Plus?
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 70.3. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for math, Qwen3.6-35B-A3B or Qwen3.6 Plus?
Qwen3.6-35B-A3B has the edge for math in this comparison, averaging 88.2 versus 60.5. Inside this category, HMMT Feb 2025 is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Qwen3.6-35B-A3B or Qwen3.6 Plus?
Qwen3.6 Plus has the edge for agentic tasks in this comparison, averaging 61.6 versus 51.5. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Which is better for multimodal and grounded tasks, Qwen3.6-35B-A3B or Qwen3.6 Plus?
Qwen3.6 Plus has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 76.3. Inside this category, MMMU is the benchmark that creates the most daylight between them.
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