Skip to main content

Model comparison

Qwen3.5-27B vs Qwen3.6-35B-A3B

Data verified

Head-to-head evidence from 20 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.63/100
Margin
9.3pts
← winning
51.36/100
2 category wins1 category wins

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 scores and score margins for Qwen3.5-27B and Qwen3.6-35B-A3B
CategoryQwen3.5-27BΔQwen3.6-35B-A3B
KnowledgeQwen3.5-27B82.8Margin 31.0Qwen3.6-35B-A3B51.8
CodingQwen3.5-27B64.9Margin 8.9Qwen3.6-35B-A3B73.8
AgenticQwen3.5-27B52.0Margin 0.5Qwen3.6-35B-A3B51.5
ReasoningQwen3.5-27B60.6MarginNo overlapQwen3.6-35B-A3BNot measured
MathQwen3.5-27BNot measuredMarginNo overlapQwen3.6-35B-A3B88.2
MultilingualQwen3.5-27B82.2MarginNo overlapQwen3.6-35B-A3BNot measured
MultimodalQwen3.5-27BNot measuredMarginNo overlapQwen3.6-35B-A3B76.3
Inst. FollowingQwen3.5-27B95.0MarginNo overlapQwen3.6-35B-A3BNot measured

Decisive benchmark drivers

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

More
A · Qwen3.5-27BB · Qwen3.6-35B-A3B
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 41.6%B 51.5%
    Winner: Qwen3.6-35B-A3BΔ 9.9
    Terminal-Bench 2.0: Qwen3.5-27B scored 41.6%; Qwen3.6-35B-A3B scored 51.5%. Qwen3.6-35B-A3B wins this benchmark.
  2. SWE-bench Verified

    Coding
    Source ↗
    A 72.4%B 73.4%
    Winner: Qwen3.6-35B-A3BΔ 1
    SWE-bench Verified: Qwen3.5-27B scored 72.4%; Qwen3.6-35B-A3B scored 73.4%. Qwen3.6-35B-A3B wins this benchmark.
  3. MMLU-Pro

    Knowledge
    Source ↗
    A 86.1%B 85.2%
    Winner: Qwen3.5-27BΔ 0.9
    MMLU-Pro: Qwen3.5-27B scored 86.1%; Qwen3.6-35B-A3B scored 85.2%. Qwen3.5-27B wins this benchmark.
  4. SuperGPQA

    Knowledge
    Source ↗
    A 65.6%B 64.7%
    Winner: Qwen3.5-27BΔ 0.9
    SuperGPQA: Qwen3.5-27B scored 65.6%; Qwen3.6-35B-A3B scored 64.7%. Qwen3.5-27B wins this benchmark.
  5. GPQA

    Knowledge
    Source ↗
    A 85.5%B 86%
    Winner: Qwen3.6-35B-A3BΔ 0.5
    GPQA: 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.

MetricQwen3.5-27BQwen3.6-35B-A3BComparison
Input / output priceUSD per 1M tokensQwen3.5-27B$0 input / $0 outputQwen3.6-35B-A3BNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.5-27BNot availableQwen3.6-35B-A3BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5-27BNot availableQwen3.6-35B-A3BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5-27B262KQwen3.6-35B-A3B262KListed context windows are equal.

Benchmark Deep Dive

AgenticQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
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 1397Not 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 1049Not comparable
CodingQwen3.6-35B-A3B wins
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
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
Reasoning
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
LongBench v2Source 60.6%Not comparable
AA-LCRSource 67.3%63.7%Qwen3.5-27B leads
CritPtSource 0.9%0.3%Qwen3.5-27B leads
KnowledgeQwen3.5-27B wins
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
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
Math
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
HMMT Feb 2025Source 90.7%Not comparable
HMMT Nov 2025Source 89.1%Not comparable
HMMT Feb 2026Source 83.6%Not comparable
MMAnswerBenchSource 78.9%Not comparable
AIME26Source 92.7%Not comparable
Multilingual
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
MMLU-ProXSource 82.2%Not comparable
Multimodal
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
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
Inst. Following
BenchmarkQwen3.5-27BQwen3.6-35B-A3BResult
IFEvalSource 95%Not comparable
AA-IFBenchSource 75.6%64.4%Qwen3.5-27B leads
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.

Related Comparisons

Last updated: July 15, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.