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Model comparison

Qwen3.5-35B-A3B vs Qwen3.7 Max

Data verified

Head-to-head evidence from 19 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

56.97/100
Margin
15.9pts
winning →
72.84/100
2 category wins4 category wins

Public leaderboard positions: Qwen3.5-35B-A3B #72 (Supported); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5-35B-A3B and Qwen3.7 Max share 19 comparable benchmark results. 6 of 8 categories are comparable. 9 results are unique to Qwen3.5-35B-A3B; 39 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
19
Qwen3.5-35B-A3B only
9
Qwen3.7 Max only
39
Comparable categories
6 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.5-35B-A3B only becomes the better choice if knowledge is the priority.

Confidence note. This is a partial-evidence comparison with 19 shared benchmark results across 6 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

Qwen3.7 Max is clearly ahead on the BenchAlign aggregate, 72.84 to 56.97. 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 reasoning, where it averages 90.4 against 59. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 40.5% to 69.7%. Qwen3.5-35B-A3B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Qwen3.7 Max gives you the larger context window at 1M, compared with 262K for Qwen3.5-35B-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 scores and score margins for Qwen3.5-35B-A3B and Qwen3.7 Max
CategoryQwen3.5-35B-A3BΔQwen3.7 Max
ReasoningQwen3.5-35B-A3B59.0Margin→ 31.4Qwen3.7 Max90.4
AgenticQwen3.5-35B-A3B51.0Margin→ 18.7Qwen3.7 Max69.7
KnowledgeQwen3.5-35B-A3B81.6Margin← 17.4Qwen3.7 Max64.2
CodingQwen3.5-35B-A3B60.6Margin→ 17.3Qwen3.7 Max77.9
Inst. FollowingQwen3.5-35B-A3B91.9Margin← 7.5Qwen3.7 Max84.4
MultilingualQwen3.5-35B-A3B81.0Margin→ 6.0Qwen3.7 Max87.0
MathQwen3.5-35B-A3BNot measuredMarginNo overlapQwen3.7 Max97.1

Decisive benchmark drivers

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

More
A · Qwen3.5-35B-A3BB · Qwen3.7 Max

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 40.5%B 69.7%
    Winner: Qwen3.7 MaxΔ 29.2
    Terminal-Bench 2.0: Qwen3.5-35B-A3B scored 40.5%; Qwen3.7 Max scored 69.7%. Qwen3.7 Max wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 69.2%B 80.4%
    Winner: Qwen3.7 MaxΔ 11.2
    SWE-bench Verified: Qwen3.5-35B-A3B scored 69.2%; Qwen3.7 Max scored 80.4%. Qwen3.7 Max wins this benchmark.

  3. SuperGPQA

    Knowledge
    Source ↗
    A 63.4%B 73.6%
    Winner: Qwen3.7 MaxΔ 10.2
    SuperGPQA: Qwen3.5-35B-A3B scored 63.4%; Qwen3.7 Max scored 73.6%. Qwen3.7 Max wins this benchmark.

  4. GPQA

    Knowledge
    Source ↗
    A 84.2%B 92.4%
    Winner: Qwen3.7 MaxΔ 8.2
    GPQA: Qwen3.5-35B-A3B scored 84.2%; Qwen3.7 Max scored 92.4%. Qwen3.7 Max wins this benchmark.

  5. MMLU-ProX

    Multilingual
    Source ↗
    A 81%B 87%
    Winner: Qwen3.7 MaxΔ 6
    MMLU-ProX: Qwen3.5-35B-A3B scored 81%; Qwen3.7 Max scored 87%. Qwen3.7 Max wins this benchmark.

Operational comparison

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

MetricQwen3.5-35B-A3BQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensQwen3.5-35B-A3B$0 input / $0 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.5-35B-A3BNot availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5-35B-A3BNot availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5-35B-A3B262KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

AgenticQwen3.7 Max wins
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
Terminal-Bench 2.0Source 40.5%69.7%Qwen3.7 Max leads
BrowseCompSource 61%—Not comparable
OSWorld-VerifiedSource 54.5%—Not comparable
τ²-bench resultsSource 89.2%94.7%Qwen3.7 Max leads
Gert LabsSource 28.96%64.27%Qwen3.7 Max leads
QwenClawBenchSource —64.3%Not comparable
QwenWebBenchSource —1568Not comparable
Claw-EvalSource —65.2%Not comparable
BFCL v4Source —75.0%Not comparable
MCP AtlasSource —76.4%Not comparable
VITA-BenchSource —47.9%Not comparable
HLE w/ toolsSource —53.5%Not comparable
AA Agentic IndexSource —30.6%Not comparable
GDPval-AASource —38.7%Not comparable
GDPval-AASource —1273Not comparable
ResearchClawBenchSource —18.7%Not comparable
AA BriefcaseSource —908Not 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 wins
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
SWE-bench VerifiedSource 69.2%80.4%Qwen3.7 Max leads
SWE-RebenchSource 53.7%—Not comparable
AA-SciCodeSource 37.7%48.8%Qwen3.7 Max leads
SWE-bench ProSource —60.6%Not comparable
SWE MultilingualSource —78.3%Not comparable
NL2RepoSource —47.2%Not comparable
SciCodeSource —53.5%Not comparable
LiveCodeBenchSource —91.6%Not comparable
Terminal-Bench 2.0Source —69.7%Not comparable
AA Coding IndexSource —66.0%Not comparable
ReasoningQwen3.7 Max wins
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
LongBench v2Source 59%—Not comparable
AA-LCRSource 62.7%69.0%Qwen3.7 Max leads
CritPtSource 0.9%13.4%Qwen3.7 Max leads
MRCRv2Source —90.4%Not comparable
KnowledgeQwen3.5-35B-A3B wins
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
MMLU-ProSource 85.3%89.6%Qwen3.7 Max leads
SuperGPQASource 63.4%73.6%Qwen3.7 Max leads
GPQASource 84.2%92.4%Qwen3.7 Max leads
Artificial Analysis Intelligence IndexSource 29.3%46.0%Qwen3.7 Max leads
AA-GPQA DiamondSource 84.5%92.3%Qwen3.7 Max leads
AA-HLESource 19.7%38.1%Qwen3.7 Max leads
AA-Omniscience IndexSource -46.4%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 20.5%30.1%Qwen3.7 Max leads
AA-Omniscience Hallucination RateSource 84.0%22.9%Qwen3.7 Max leads
GPQA-DSource —92.4%Not comparable
HLESource —41.4%Not comparable
MMLU-ReduxSource —95%Not comparable
MMMLUSource —90.3%Not comparable
Math
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
HMMT Feb 2026Source —97.1%Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
MultilingualQwen3.7 Max wins
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
MMLU-ProXSource 81%87%Qwen3.7 Max leads
NOVA-63Source —59.0%Not comparable
INCLUDESource —86.2%Not comparable
MAXIFESource —89.2%Not comparable
PolyMathSource —86.5%Not comparable
Multimodal
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
MMMUSource 81.4%—Not comparable
MMVUSource 72.3%—Not comparable
MathVisionSource 83.9%—Not comparable
V*Source 92.7%—Not comparable
AA-MMMU-ProSource 72.7%—Not comparable
Design Arena WebsiteSource —1293Not comparable
Inst. FollowingQwen3.5-35B-A3B wins
BenchmarkQwen3.5-35B-A3BQwen3.7 MaxResult
IFEvalSource 91.9%94.3%Qwen3.7 Max leads
AA-IFBenchSource 72.5%80.5%Qwen3.7 Max leads
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (7)

Which is better, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 56.97. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 40.5% and 69.7%.

Which is better for knowledge tasks, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.5-35B-A3B has the edge for knowledge tasks in this comparison, averaging 81.6 versus 64.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 60.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

Which is better for reasoning, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.7 Max has the edge for reasoning in this comparison, averaging 90.4 versus 59. Inside this category, CritPt is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 51. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.

Which is better for instruction following, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.5-35B-A3B has the edge for instruction following in this comparison, averaging 91.9 versus 84.4. Inside this category, AA-IFBench is the benchmark that creates the most daylight between them.

Which is better for multilingual tasks, Qwen3.5-35B-A3B or Qwen3.7 Max?

Qwen3.7 Max has the edge for multilingual tasks in this comparison, averaging 87 versus 81. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.

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