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Model comparison

Qwen3.5-27B vs Qwen3.5-35B-A3B

Data verified

Head-to-head evidence from 28 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.7/100
Margin
3.7pts
← winning
56.97/100
6 category wins0 category wins

Public leaderboard positions: Qwen3.5-27B #45 (Supported); Qwen3.5-35B-A3B #72 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5-27B and Qwen3.5-35B-A3B share 28 comparable benchmark results. 6 of 8 categories are comparable. 0 results are unique to Qwen3.5-27B; 0 to Qwen3.5-35B-A3B.

Updated July 23, 2026
Shared results
28
Qwen3.5-27B only
0
Qwen3.5-35B-A3B only
0
Comparable categories
6 / 8

Pick Qwen3.5-27B if you want the stronger benchmark profile. Qwen3.5-35B-A3B 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 28 shared benchmark results across 7 evidence categories; 6 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 is clearly ahead on the BenchAlign aggregate, 60.7 to 56.97. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.5-27B's sharpest advantage is in coding, where it averages 64.9 against 60.6. The single biggest benchmark swing on the page is SWE-Rebench, 58.9% to 53.7%.

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 scores and score margins for Qwen3.5-27B and Qwen3.5-35B-A3B
CategoryQwen3.5-27BΔQwen3.5-35B-A3B
CodingQwen3.5-27B64.9Margin← 4.3Qwen3.5-35B-A3B60.6
Inst. FollowingQwen3.5-27B95.0Margin← 3.1Qwen3.5-35B-A3B91.9
ReasoningQwen3.5-27B60.6Margin← 1.6Qwen3.5-35B-A3B59.0
MultilingualQwen3.5-27B82.2Margin← 1.2Qwen3.5-35B-A3B81.0
KnowledgeQwen3.5-27B82.7Margin← 1.1Qwen3.5-35B-A3B81.6
AgenticQwen3.5-27B52.0Margin← 1.0Qwen3.5-35B-A3B51.0

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Qwen3.5-27BB · Qwen3.5-35B-A3B

  1. SWE-Rebench

    Coding
    Source ↗
    A 58.9%B 53.7%
    Winner: Qwen3.5-27BΔ 5.2
    SWE-Rebench: Qwen3.5-27B scored 58.9%; Qwen3.5-35B-A3B scored 53.7%. Qwen3.5-27B wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 72.4%B 69.2%
    Winner: Qwen3.5-27BΔ 3.2
    SWE-bench Verified: Qwen3.5-27B scored 72.4%; Qwen3.5-35B-A3B scored 69.2%. Qwen3.5-27B wins this benchmark.

  3. IFEval

    Inst. Following
    Source ↗
    A 95%B 91.9%
    Winner: Qwen3.5-27BΔ 3.1
    IFEval: Qwen3.5-27B scored 95%; Qwen3.5-35B-A3B scored 91.9%. Qwen3.5-27B wins this benchmark.

  4. SuperGPQA

    Knowledge
    Source ↗
    A 65.6%B 63.4%
    Winner: Qwen3.5-27BΔ 2.2
    SuperGPQA: Qwen3.5-27B scored 65.6%; Qwen3.5-35B-A3B scored 63.4%. Qwen3.5-27B wins this benchmark.

  5. OSWorld-Verified

    Agentic
    Source ↗
    A 56.2%B 54.5%
    Winner: Qwen3.5-27BΔ 1.7
    OSWorld-Verified: Qwen3.5-27B scored 56.2%; Qwen3.5-35B-A3B scored 54.5%. Qwen3.5-27B wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricQwen3.5-27BQwen3.5-35B-A3BComparison
Input / output priceUSD per 1M tokensQwen3.5-27B$0 input / $0 outputQwen3.5-35B-A3B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondQwen3.5-27BNot availableQwen3.5-35B-A3BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5-27BNot availableQwen3.5-35B-A3BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5-27B262KQwen3.5-35B-A3B262KListed context windows are equal.

Benchmark Deep Dive

AgenticQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
Terminal-Bench 2.0Source 41.6%40.5%Qwen3.5-27B leads
BrowseCompSource 61%61%Tie
OSWorld-VerifiedSource 56.2%54.5%Qwen3.5-27B leads
τ²-bench resultsSource 93.9%89.2%Qwen3.5-27B leads
Gert LabsSource 39.41%28.96%Qwen3.5-27B leads
CodingQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
SWE-bench VerifiedSource 72.4%69.2%Qwen3.5-27B leads
SWE-RebenchSource 58.9%53.7%Qwen3.5-27B leads
AA-SciCodeSource 39.5%37.7%Qwen3.5-27B leads
ReasoningQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
LongBench v2Source 60.6%59%Qwen3.5-27B leads
AA-LCRSource 67.3%62.7%Qwen3.5-27B leads
CritPtSource 0.9%0.9%Tie
KnowledgeQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
MMLU-ProSource 86.1%85.3%Qwen3.5-27B leads
SuperGPQASource 65.6%63.4%Qwen3.5-27B leads
GPQASource 85.5%84.2%Qwen3.5-27B leads
Artificial Analysis Intelligence IndexSource 33.8%29.3%Qwen3.5-27B leads
AA-GPQA DiamondSource 85.8%84.5%Qwen3.5-27B leads
AA-HLESource 22.2%19.7%Qwen3.5-27B leads
AA-Omniscience IndexSource -42.0%-46.4%Qwen3.5-27B leads
AA-Omniscience AccuracySource 21.0%20.5%Qwen3.5-27B leads
AA-Omniscience Hallucination RateSource 79.7%84.0%Qwen3.5-27B leads
MultilingualQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
MMLU-ProXSource 82.2%81%Qwen3.5-27B leads
Multimodal
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
MMMUSource 82.3%81.4%Qwen3.5-27B leads
MMVUSource 73.3%72.3%Qwen3.5-27B leads
MathVisionSource 86.0%83.9%Qwen3.5-27B leads
V*Source 93.7%92.7%Qwen3.5-27B leads
AA-MMMU-ProSource 75.0%72.7%Qwen3.5-27B leads
Inst. FollowingQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.5-35B-A3BResult
IFEvalSource 95%91.9%Qwen3.5-27B leads
AA-IFBenchSource 75.6%72.5%Qwen3.5-27B leads
Frequently Asked Questions (7)

Which is better, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B is ahead on BenchLM's BenchAlign leaderboard, 60.7 to 56.97. The biggest single separator in this matchup is SWE-Rebench, where the scores are 58.9% and 53.7%.

Which is better for knowledge tasks, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B has the edge for knowledge tasks in this comparison, averaging 82.7 versus 81.6. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B has the edge for coding in this comparison, averaging 64.9 versus 60.6. Inside this category, SWE-Rebench is the benchmark that creates the most daylight between them.

Which is better for reasoning, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B has the edge for reasoning in this comparison, averaging 60.6 versus 59. Inside this category, AA-LCR is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B has the edge for agentic tasks in this comparison, averaging 52 versus 51. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.

Which is better for instruction following, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B has the edge for instruction following in this comparison, averaging 95 versus 91.9. Inside this category, IFEval is the benchmark that creates the most daylight between them.

Which is better for multilingual tasks, Qwen3.5-27B or Qwen3.5-35B-A3B?

Qwen3.5-27B has the edge for multilingual tasks in this comparison, averaging 82.2 versus 81. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.

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