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Model comparison

Qwen3.5 Plus vs Qwen3.6-27B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
47.2/100
Margin
6.6pts
winning →
53.82/100
0 category wins1 category wins

Public leaderboard positions: Qwen3.5 Plus #138 (Estimated); Qwen3.6-27B #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Qwen3.5 Plus and Qwen3.6-27B share 0 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Qwen3.5 Plus; 54 to Qwen3.6-27B.

Updated July 21, 2026
Shared results
0
Qwen3.5 Plus only
4
Qwen3.6-27B only
54
Comparable categories
1 / 8

Pick Qwen3.6-27B if you want the stronger benchmark profile. Qwen3.5 Plus only becomes the better choice if you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Qwen3.6-27B is clearly ahead on the BenchAlign aggregate, 53.82 to 47.2. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Qwen3.6-27B's sharpest advantage is in mathematics, where it averages 89.2 against 16.3.

Qwen3.5 Plus is also the more expensive model on tokens at $0.40 input / $2.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.6-27B. That is roughly Infinityx on output cost alone. Qwen3.5 Plus gives you the larger context window at 1M, compared with 262K for Qwen3.6-27B.

Operational comparison

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

MetricQwen3.5 PlusQwen3.6-27BComparison
Input / output priceUSD per 1M tokensQwen3.5 Plus$0.4 input / $2.4 outputQwen3.6-27B$0 input / $0 outputQwen3.6-27B has the lower combined listed price.
Generation speedtokens per secondQwen3.5 PlusNot availableQwen3.6-27BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenQwen3.5 PlusNot availableQwen3.6-27BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensQwen3.5 Plus1MQwen3.6-27B262KQwen3.5 Plus lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkQwen3.5 PlusQwen3.6-27BResult
JobBenchSource 18.5%Not comparable
Terminal-Bench 2.0Source 59.3%Not comparable
Claw-EvalSource 72.4%Not comparable
QwenClawBenchSource 53.4%Not comparable
QwenWebBenchSource 1487Not comparable
AndroidWorldSource 70.3%Not comparable
AA Agentic IndexSource 27.0%Not comparable
τ²-bench resultsSource 94.2%Not comparable
GDPval-AASource 32.0%Not comparable
GDPval-AASource 1140Not comparable
Gert LabsSource 54.84%Not comparable
Coding
BenchmarkQwen3.5 PlusQwen3.6-27BResult
Vibe Code BenchSource 15.74%Not comparable
SWE-bench VerifiedSource 77.2%Not comparable
SWE MultilingualSource 71.3%Not comparable
SWE-bench ProSource 53.5%Not comparable
Terminal-Bench 2.0Source 59.3%Not comparable
LiveCodeBenchSource 83.9%Not comparable
NL2RepoSource 36.2%Not comparable
AA Coding IndexSource 53.7%Not comparable
AA-SciCodeSource 39.8%Not comparable
Reasoning
BenchmarkQwen3.5 PlusQwen3.6-27BResult
AA-LCRSource 68.7%Not comparable
CritPtSource 1.1%Not comparable
Knowledge
BenchmarkQwen3.5 PlusQwen3.6-27BResult
MMLU-ProSource 86.2%Not comparable
MMLU-ReduxSource 93.5%Not comparable
SuperGPQASource 66%Not comparable
C-EvalSource 91.4%Not comparable
GPQASource 87.8%Not comparable
HLESource 24%Not comparable
Artificial Analysis Intelligence IndexSource 37.0%Not comparable
AA-GPQA DiamondSource 84.2%Not comparable
AA-HLESource 21.6%Not comparable
AA-Omniscience IndexSource -19.8%Not comparable
AA-Omniscience AccuracySource 19.2%Not comparable
AA-Omniscience Hallucination RateSource 48.3%Not comparable
MathQwen3.6-27B wins
BenchmarkQwen3.5 PlusQwen3.6-27BResult
FrontierMath v2 (Tiers 1-3)Source 21.034%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
HMMT Feb 2025Source 93.8%Not comparable
HMMT Nov 2025Source 90.7%Not comparable
HMMT Feb 2026Source 84.3%Not comparable
MMAnswerBenchSource 80.8%Not comparable
AIME26Source 94.1%Not comparable
Multimodal
BenchmarkQwen3.5 PlusQwen3.6-27BResult
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
Inst. Following
BenchmarkQwen3.5 PlusQwen3.6-27BResult
AA-IFBenchSource 67.6%Not comparable
Frequently Asked Questions (2)

Which is better, Qwen3.5 Plus or Qwen3.6-27B?

Qwen3.6-27B is ahead on BenchLM's BenchAlign leaderboard, 53.82 to 47.2.

Which is better for math, Qwen3.5 Plus or Qwen3.6-27B?

Qwen3.6-27B has the edge for math in this comparison, averaging 89.2 versus 16.3. Qwen3.5 Plus stays close enough that the answer can still flip depending on your workload.

Self-host vs API cost

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

Qwen3.5 Plus
API / mo$2,100
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Qwen3.6-27B
API / mo$0
Self-host / mo$429
Break-even
Model the full break-even

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Last updated: July 21, 2026

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