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Model comparison

Qwen3.5-27B vs Qwen3 Max

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

60.7/100
Margin
12.5pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: Qwen3.5-27B #45 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5-27B and Qwen3 Max share 12 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to Qwen3.5-27B; 2 to Qwen3 Max.

Updated July 23, 2026
Shared results
12
Qwen3.5-27B only
16
Qwen3 Max only
2
Comparable categories
0 / 8

Benchmark data for Qwen3.5-27B and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Qwen3 Max has the larger context window at 1M, compared with 262K for Qwen3.5-27B.

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 Qwen3.5-27B and Qwen3 Max
CategoryQwen3.5-27BΔQwen3 Max
AgenticQwen3.5-27B52.0MarginNo overlapQwen3 MaxNot measured
CodingQwen3.5-27B64.9MarginNo overlapQwen3 MaxNot measured
ReasoningQwen3.5-27B60.6MarginNo overlapQwen3 MaxNot measured
KnowledgeQwen3.5-27B82.7MarginNo overlapQwen3 MaxNot measured
MultilingualQwen3.5-27B82.2MarginNo overlapQwen3 MaxNot measured
Inst. FollowingQwen3.5-27B95.0MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricQwen3.5-27BQwen3 MaxComparison
Input / output priceUSD per 1M tokensQwen3.5-27B$0 input / $0 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondQwen3.5-27BNot availableQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5-27BNot availableQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5-27B262KQwen3 Max1MQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.5-27BQwen3 MaxResult
Terminal-Bench 2.0Source 41.6%Not comparable
BrowseCompSource 61%Not comparable
OSWorld-VerifiedSource 56.2%Not comparable
τ²-bench resultsSource 93.9%74.3%Qwen3.5-27B leads
Gert LabsSource 39.41%43.74%Qwen3 Max leads
Coding
BenchmarkQwen3.5-27BQwen3 MaxResult
SWE-bench VerifiedSource 72.4%Not comparable
SWE-RebenchSource 58.9%Not comparable
AA-SciCodeSource 39.5%38.3%Qwen3.5-27B leads
Vibe Code BenchSource 3.51%Not comparable
Reasoning
BenchmarkQwen3.5-27BQwen3 MaxResult
LongBench v2Source 60.6%Not comparable
AA-LCRSource 67.3%46.7%Qwen3.5-27B leads
CritPtSource 0.9%0.0%Qwen3.5-27B leads
Knowledge
BenchmarkQwen3.5-27BQwen3 MaxResult
MMLU-ProSource 86.1%Not comparable
SuperGPQASource 65.6%Not comparable
GPQASource 85.5%Not comparable
Artificial Analysis Intelligence IndexSource 33.8%24.0%Qwen3.5-27B leads
AA-GPQA DiamondSource 85.8%76.4%Qwen3.5-27B leads
AA-HLESource 22.2%11.1%Qwen3.5-27B leads
AA-Omniscience IndexSource -42.0%-43.1%Qwen3.5-27B leads
AA-Omniscience AccuracySource 21.0%24.4%Qwen3 Max leads
AA-Omniscience Hallucination RateSource 79.7%89.4%Qwen3.5-27B leads
Multilingual
BenchmarkQwen3.5-27BQwen3 MaxResult
MMLU-ProXSource 82.2%Not comparable
Multimodal
BenchmarkQwen3.5-27BQwen3 MaxResult
MMMUSource 82.3%Not comparable
MMVUSource 73.3%Not comparable
MathVisionSource 86.0%Not comparable
V*Source 93.7%Not comparable
AA-MMMU-ProSource 75.0%Not comparable
Design Arena WebsiteSource 1148Not comparable
Inst. Following
BenchmarkQwen3.5-27BQwen3 MaxResult
IFEvalSource 95%Not comparable
AA-IFBenchSource 75.6%44.1%Qwen3.5-27B leads
Frequently Asked Questions (3)

Can I compare Qwen3.5-27B and Qwen3 Max on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Qwen3.5-27B and Qwen3 Max today?

Qwen3.5-27B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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