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Model comparison

Qwen3.6-27B vs Qwen3.7 Max

Data verified

Head-to-head evidence from 32 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

53.82/100
Margin
19.0pts
winning →
72.84/100
0 category wins4 category wins

Public leaderboard positions: Qwen3.6-27B #93 (Estimated); Qwen3.7 Max #10 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.6-27B and Qwen3.7 Max share 32 comparable benchmark results. 4 of 8 categories are comparable. 22 results are unique to Qwen3.6-27B; 26 to Qwen3.7 Max.

Updated July 23, 2026
Shared results
32
Qwen3.6-27B only
22
Qwen3.7 Max only
26
Comparable categories
4 / 8

Pick Qwen3.7 Max if you want the stronger benchmark profile. Qwen3.6-27B 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 32 shared benchmark results across 6 evidence categories; 4 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 53.82. 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 knowledge, where it averages 64.2 against 53.3. The single biggest benchmark swing on the page is HLE, 24% to 41.4%.

Qwen3.7 Max gives you the larger context window at 1M, compared with 262K for Qwen3.6-27B.

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 Qwen3.6-27B and Qwen3.7 Max
CategoryQwen3.6-27BΔQwen3.7 Max
KnowledgeQwen3.6-27B53.3Margin→ 10.9Qwen3.7 Max64.2
AgenticQwen3.6-27B59.3Margin→ 10.4Qwen3.7 Max69.7
MathQwen3.6-27B89.2Margin→ 7.9Qwen3.7 Max97.1
CodingQwen3.6-27B77.5Margin→ 0.4Qwen3.7 Max77.9
ReasoningQwen3.6-27BNot measuredMarginNo overlapQwen3.7 Max90.4
MultilingualQwen3.6-27BNot measuredMarginNo overlapQwen3.7 Max87.0
MultimodalQwen3.6-27B76.7MarginNo overlapQwen3.7 MaxNot measured
Inst. FollowingQwen3.6-27BNot measuredMarginNo overlapQwen3.7 Max84.4

Decisive benchmark drivers

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

More
A · Qwen3.6-27BB · Qwen3.7 Max

  1. HLE

    Knowledge
    Source ↗
    A 24%B 41.4%
    Winner: Qwen3.7 MaxΔ 17.4
    HLE: Qwen3.6-27B scored 24%; Qwen3.7 Max scored 41.4%. Qwen3.7 Max wins this benchmark.

  2. HMMT Feb 2026

    Math
    Source ↗
    A 84.3%B 97.1%
    Winner: Qwen3.7 MaxΔ 12.8
    HMMT Feb 2026: Qwen3.6-27B scored 84.3%; Qwen3.7 Max scored 97.1%. Qwen3.7 Max wins this benchmark.

  3. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 59.3%B 69.7%
    Winner: Qwen3.7 MaxΔ 10.4
    Terminal-Bench 2.0: Qwen3.6-27B scored 59.3%; Qwen3.7 Max scored 69.7%. Qwen3.7 Max wins this benchmark.

  4. LiveCodeBench

    Coding
    Source ↗
    A 83.9%B 91.6%
    Winner: Qwen3.7 MaxΔ 7.7
    LiveCodeBench: Qwen3.6-27B scored 83.9%; Qwen3.7 Max scored 91.6%. Qwen3.7 Max wins this benchmark.

  5. SuperGPQA

    Knowledge
    Source ↗
    A 66%B 73.6%
    Winner: Qwen3.7 MaxΔ 7.6
    SuperGPQA: Qwen3.6-27B scored 66%; Qwen3.7 Max scored 73.6%. Qwen3.7 Max wins this benchmark.

Operational comparison

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

MetricQwen3.6-27BQwen3.7 MaxComparison
Input / output priceUSD per 1M tokensQwen3.6-27B$0 input / $0 outputQwen3.7 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.6-27BNot availableQwen3.7 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.6-27BNot availableQwen3.7 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.6-27B262KQwen3.7 Max1MQwen3.7 Max lists the larger context window.

Benchmark Deep Dive

AgenticQwen3.7 Max wins
BenchmarkQwen3.6-27BQwen3.7 MaxResult
Terminal-Bench 2.0Source 59.3%69.7%Qwen3.7 Max leads
Claw-EvalSource 72.4%65.2%Qwen3.6-27B leads
QwenClawBenchSource 53.4%64.3%Qwen3.7 Max leads
QwenWebBenchSource 14871568Qwen3.7 Max leads
AndroidWorldSource 70.3%—Not comparable
AA Agentic IndexSource 27.0%30.6%Qwen3.7 Max leads
τ²-bench resultsSource 94.2%94.7%Qwen3.7 Max leads
GDPval-AASource 32.0%38.7%Qwen3.7 Max leads
GDPval-AASource 11401273Qwen3.7 Max leads
Gert LabsSource 54.84%64.27%Qwen3.7 Max leads
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
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
BenchmarkQwen3.6-27BQwen3.7 MaxResult
SWE-bench VerifiedSource 77.2%80.4%Qwen3.7 Max leads
SWE MultilingualSource 71.3%78.3%Qwen3.7 Max leads
SWE-bench ProSource 53.5%60.6%Qwen3.7 Max leads
Terminal-Bench 2.0Source 59.3%69.7%Qwen3.7 Max leads
LiveCodeBenchSource 83.9%91.6%Qwen3.7 Max leads
NL2RepoSource 36.2%47.2%Qwen3.7 Max leads
AA Coding IndexSource 53.7%66.0%Qwen3.7 Max leads
AA-SciCodeSource 39.8%48.8%Qwen3.7 Max leads
SciCodeSource —53.5%Not comparable
Reasoning
BenchmarkQwen3.6-27BQwen3.7 MaxResult
AA-LCRSource 68.7%69.0%Qwen3.7 Max leads
CritPtSource 1.1%13.4%Qwen3.7 Max leads
MRCRv2Source —90.4%Not comparable
KnowledgeQwen3.7 Max wins
BenchmarkQwen3.6-27BQwen3.7 MaxResult
MMLU-ProSource 86.2%89.6%Qwen3.7 Max leads
MMLU-ReduxSource 93.5%95%Qwen3.7 Max leads
SuperGPQASource 66%73.6%Qwen3.7 Max leads
C-EvalSource 91.4%—Not comparable
GPQASource 87.8%92.4%Qwen3.7 Max leads
HLESource 24%41.4%Qwen3.7 Max leads
Artificial Analysis Intelligence IndexSource 37.0%46.0%Qwen3.7 Max leads
AA-GPQA DiamondSource 84.2%92.3%Qwen3.7 Max leads
AA-HLESource 21.6%38.1%Qwen3.7 Max leads
AA-Omniscience IndexSource -19.8%14.1%Qwen3.7 Max leads
AA-Omniscience AccuracySource 19.2%30.1%Qwen3.7 Max leads
AA-Omniscience Hallucination RateSource 48.3%22.9%Qwen3.7 Max leads
GPQA-DSource —92.4%Not comparable
MMMLUSource —90.3%Not comparable
MathQwen3.7 Max wins
BenchmarkQwen3.6-27BQwen3.7 MaxResult
HMMT Feb 2025Source 93.8%—Not comparable
HMMT Nov 2025Source 90.7%—Not comparable
HMMT Feb 2026Source 84.3%97.1%Qwen3.7 Max leads
MMAnswerBenchSource 80.8%—Not comparable
AIME26Source 94.1%—Not comparable
IMOAnswerBenchSource —90.0%Not comparable
ApexSource —44.5%Not comparable
Multilingual
BenchmarkQwen3.6-27BQwen3.7 MaxResult
MMLU-ProXSource —87%Not comparable
NOVA-63Source —59.0%Not comparable
INCLUDESource —86.2%Not comparable
MAXIFESource —89.2%Not comparable
PolyMathSource —86.5%Not comparable
Multimodal
BenchmarkQwen3.6-27BQwen3.7 MaxResult
MMMUSource 82.9%—Not comparable
MMMU-ProSource 75.8%—Not comparable
RealWorldQASource 84.1%—Not comparable
DynaMathSource 85.6%—Not comparable
MStarSource 81.4%—Not comparable
SimpleVQASource 56.1%—Not comparable
CharXivSource 78.4%—Not comparable
CC-OCRSource 81.2%—Not comparable
CountBenchSource 97.8%—Not comparable
RefCOCO (avg)Source 92.5%—Not comparable
ERQASource 62.5%—Not comparable
Video-MME (with subtitle)Source 87.7%—Not comparable
VideoMMMUSource 84.4%—Not comparable
MLVU (M-Avg)Source 86.6%—Not comparable
V*Source 94.7%—Not comparable
AA-MMMU-ProSource 74.6%—Not comparable
Design Arena WebsiteSource —1293Not comparable
Inst. Following
BenchmarkQwen3.6-27BQwen3.7 MaxResult
AA-IFBenchSource 67.6%80.5%Qwen3.7 Max leads
IFEvalSource —94.3%Not comparable
IFBenchSource —79.1%Not comparable
Frequently Asked Questions (5)

Which is better, Qwen3.6-27B or Qwen3.7 Max?

Qwen3.7 Max is ahead on BenchLM's BenchAlign leaderboard, 72.84 to 53.82. The biggest single separator in this matchup is HLE, where the scores are 24% and 41.4%.

Which is better for knowledge tasks, Qwen3.6-27B or Qwen3.7 Max?

Qwen3.7 Max has the edge for knowledge tasks in this comparison, averaging 64.2 versus 53.3. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, Qwen3.6-27B or Qwen3.7 Max?

Qwen3.7 Max has the edge for coding in this comparison, averaging 77.9 versus 77.5. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for math, Qwen3.6-27B or Qwen3.7 Max?

Qwen3.7 Max has the edge for math in this comparison, averaging 97.1 versus 89.2. Inside this category, HMMT Feb 2026 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Qwen3.6-27B or Qwen3.7 Max?

Qwen3.7 Max has the edge for agentic tasks in this comparison, averaging 69.7 versus 59.3. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Qwen3.6-27B
API / mo$0
Self-host / mo$429
Break-even—
Qwen3.7 Max
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

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