Model comparison
Qwen3.5-27B vs Qwen3.6-35B-A3B
Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Verified leaderboard positions: Qwen3.5-27B #26; Qwen3.6-35B-A3B #31
BenchAlign evidence: Qwen3.5-27B supported; Qwen3.6-35B-A3B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.5-27B and Qwen3.6-35B-A3B share 20 comparable benchmark results. 3 of 8 categories are comparable. 9 results are unique to Qwen3.5-27B; 38 to Qwen3.6-35B-A3B.
Updated July 15, 2026- Shared results
- 20
- Qwen3.5-27B only
- 9
- Qwen3.6-35B-A3B only
- 38
- Comparable categories
- 3 / 8
Treat this as a split decision. Qwen3.5-27B makes more sense if knowledge is the priority; Qwen3.6-35B-A3B is the better fit if coding is the priority.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3.5-27B and Qwen3.6-35B-A3B finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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 | Qwen3.5-27B | Δ | Qwen3.6-35B-A3B |
|---|---|---|---|
| Knowledge | Qwen3.5-27B82.8 | Margin← 31.0 | Qwen3.6-35B-A3B51.8 |
| Coding | Qwen3.5-27B64.9 | Margin→ 8.9 | Qwen3.6-35B-A3B73.8 |
| Agentic | Qwen3.5-27B52.0 | Margin← 0.5 | Qwen3.6-35B-A3B51.5 |
| Reasoning | Qwen3.5-27B60.6 | MarginNo overlap | Qwen3.6-35B-A3BNot measured |
| Math | Qwen3.5-27BNot measured | MarginNo overlap | Qwen3.6-35B-A3B88.2 |
| Multilingual | Qwen3.5-27B82.2 | MarginNo overlap | Qwen3.6-35B-A3BNot measured |
| Multimodal | Qwen3.5-27BNot measured | MarginNo overlap | Qwen3.6-35B-A3B76.3 |
| Inst. Following | Qwen3.5-27B95.0 | MarginNo overlap | Qwen3.6-35B-A3BNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
Terminal-Bench 2.0
AgenticA 41.6%B 51.5%Winner: Qwen3.6-35B-A3BΔ 9.9Terminal-Bench 2.0: Qwen3.5-27B scored 41.6%; Qwen3.6-35B-A3B scored 51.5%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 72.4%B 73.4%Winner: Qwen3.6-35B-A3BΔ 1SWE-bench Verified: Qwen3.5-27B scored 72.4%; Qwen3.6-35B-A3B scored 73.4%. Qwen3.6-35B-A3B wins this benchmark. - Source ↗
MMLU-Pro
KnowledgeA 86.1%B 85.2%Winner: Qwen3.5-27BΔ 0.9MMLU-Pro: Qwen3.5-27B scored 86.1%; Qwen3.6-35B-A3B scored 85.2%. Qwen3.5-27B wins this benchmark. - Source ↗
SuperGPQA
KnowledgeA 65.6%B 64.7%Winner: Qwen3.5-27BΔ 0.9SuperGPQA: Qwen3.5-27B scored 65.6%; Qwen3.6-35B-A3B scored 64.7%. Qwen3.5-27B wins this benchmark. - Source ↗
GPQA
KnowledgeA 85.5%B 86%Winner: Qwen3.6-35B-A3BΔ 0.5GPQA: Qwen3.5-27B scored 85.5%; Qwen3.6-35B-A3B scored 86%. Qwen3.6-35B-A3B wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.5-27B | Qwen3.6-35B-A3B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.5-27B$0 input / $0 output | Qwen3.6-35B-A3BNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.5-27BNot available | Qwen3.6-35B-A3BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.5-27BNot available | Qwen3.6-35B-A3BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.5-27B262K | Qwen3.6-35B-A3B262K | Listed context windows are equal. |
Benchmark Deep Dive
AgenticQwen3.5-27B wins17 benchmarks
| Benchmark | Qwen3.5-27B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 41.6% | 51.5% | Qwen3.6-35B-A3B leads |
| BrowseCompSource | 61% | — | Not comparable |
| OSWorld-VerifiedSource | 56.2% | — | Not comparable |
| τ²-bench resultsSource | 93.9% | 95.3% | Qwen3.6-35B-A3B leads |
| Gert LabsSource | 39.41% | 42.65% | Qwen3.6-35B-A3B leads |
| Claw-EvalSource | — | 68.7% | Not comparable |
| QwenClawBenchSource | — | 52.6% | Not comparable |
| QwenWebBenchSource | — | 1397 | Not comparable |
| τ³-bench resultsSource | — | 67.2% | Not comparable |
| VITA-BenchSource | — | 35.6% | Not comparable |
| DeepPlanningSource | — | 25.9% | Not comparable |
| ToolathlonSource | — | 26.9% | Not comparable |
| MCP AtlasSource | — | 62.8% | Not comparable |
| WideResearchSource | — | 60.1% | Not comparable |
| AA Agentic IndexSource | — | 21.4% | Not comparable |
| GDPval-AASource | — | 27.4% | Not comparable |
| GDPval-AASource | — | 1049 | Not comparable |
CodingQwen3.6-35B-A3B wins10 benchmarks
| Benchmark | Qwen3.5-27B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 72.4% | 73.4% | Qwen3.6-35B-A3B leads |
| SWE-RebenchSource | 58.9% | — | Not comparable |
| Terminal-Bench HardSource | 32.6% | 34.8% | Qwen3.6-35B-A3B leads |
| AA-SciCodeSource | 39.5% | 35.8% | Qwen3.5-27B leads |
| SWE MultilingualSource | — | 67.2% | Not comparable |
| SWE-bench ProSource | — | 49.5% | Not comparable |
| Terminal-Bench 2.0Source | — | 51.5% | Not comparable |
| LiveCodeBenchSource | — | 80.4% | Not comparable |
| NL2RepoSource | — | 29.4% | Not comparable |
| AA Coding IndexSource | — | 41.9% | Not comparable |
Reasoning3 benchmarks
KnowledgeQwen3.5-27B wins11 benchmarks
| Benchmark | Qwen3.5-27B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProSource | 86.1% | 85.2% | Qwen3.5-27B leads |
| SuperGPQASource | 65.6% | 64.7% | Qwen3.5-27B leads |
| GPQASource | 85.5% | 86% | Qwen3.6-35B-A3B leads |
| Artificial Analysis Intelligence IndexSource | 33.8% | 31.6% | Qwen3.5-27B leads |
| AA-GPQA DiamondSource | 85.8% | 84.1% | Qwen3.5-27B leads |
| AA-HLESource | 22.2% | 20.2% | Qwen3.5-27B leads |
| AA-Omniscience IndexSource | -42.0% | -21.4% | Qwen3.6-35B-A3B leads |
| AA-Omniscience AccuracySource | 21.0% | 18.9% | Qwen3.5-27B leads |
| AA-Omniscience Hallucination RateSource | 79.7% | 49.7% | Qwen3.6-35B-A3B leads |
| C-EvalSource | — | 90% | Not comparable |
| HLESource | — | 21.4% | Not comparable |
Math5 benchmarks
Multilingual1 benchmarks
| Benchmark | Qwen3.5-27B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMLU-ProXSource | 82.2% | — | Not comparable |
Multimodal18 benchmarks
| Benchmark | Qwen3.5-27B | Qwen3.6-35B-A3B | Result |
|---|---|---|---|
| MMMUSource | 82.3% | 81.7% | Qwen3.5-27B leads |
| MMVUSource | 73.3% | — | Not comparable |
| MathVisionSource | 86.0% | — | Not comparable |
| V*Source | 93.7% | — | Not comparable |
| AA-MMMU-ProSource | 75.0% | 75.0% | Tie |
| MMMU-ProSource | — | 75.3% | Not comparable |
| RealWorldQASource | — | 85.3% | Not comparable |
| OmniDocBench 1.5Source | — | 89.9% | Not comparable |
| CharXivSource | — | 78% | Not comparable |
| 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% | Not comparable |
| MLVU (M-Avg)Source | — | 86.2% | Not comparable |
Frequently Asked Questions (4)
Which is better, Qwen3.5-27B or Qwen3.6-35B-A3B?
Qwen3.5-27B and Qwen3.6-35B-A3B are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Qwen3.5-27B or Qwen3.6-35B-A3B?
Qwen3.5-27B has the edge for knowledge tasks in this comparison, averaging 82.8 versus 51.8. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Qwen3.5-27B or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the edge for coding in this comparison, averaging 73.8 versus 64.9. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Qwen3.5-27B or Qwen3.6-35B-A3B?
Qwen3.5-27B has the edge for agentic tasks in this comparison, averaging 52 versus 51.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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