Model comparison

Qwen1.5-32B vs Qwen3.6 27B

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 30.5 on the Noometry Index.

Last verified . 1 shared benchmarks.

Qwen1.5-32B Alibaba (Qwen)

30.5

Rank #293 Confirmed

Qwen3.6 27B Alibaba (Qwen)

42.2

Rank #117 Confirmed

Summary

  • They share 1 benchmark with published results for both. Qwen1.5-32B scores higher in 0 categories and Qwen3.6 27B in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 13.5.
  • The biggest single-benchmark swing is GPQA Diamond: 30.7% for Qwen1.5-32B and 85.9% for Qwen3.6 27B.

Side by side

Qwen1.5-32B and Qwen3.6 27B specifications
Qwen1.5-32BQwen3.6 27B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index30.542.2
Released2024-02-042026-04-22
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.60
Output $ / M tokens—$3.60
Results tracked2111

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Category by category

Coding Qwen3.6 27B leads

Qwen1.5-32B: 31.7 (#282), Qwen3.6 27B: 39.1 (#163)

Coding benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
SciCode—37.3%
BigCodeBench Instruct32.3%—
LMArena Coding1155—
BigCodeBench Complete42%—

Reasoning Qwen3.6 27B leads

Qwen1.5-32B: 21.8 (#212), Qwen3.6 27B: 25.0 (#153)

Reasoning benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
CritPt—0.9%
Chess Puzzles—22%
LMArena Hard Prompts1130—
Mystery Game Puzzles—7%
DTBench—78.1%
LMCA—34.5%
Epoch Capabilities Index—146.5

Math Qwen3.6 27B leads

Qwen1.5-32B: 33.0 (#207), Qwen3.6 27B: 48.5 (#62)

Math benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
FrontierMath (Tiers 1-3)—35.1%
OTIS Mock AIME 2024-2025—91.1%
LMArena Math1155—

Knowledge Qwen3.6 27B leads

Qwen1.5-32B: 13.5 (#296), Qwen3.6 27B: 52.4 (#63)

Knowledge benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
GPQA Diamond30.7%85.9%
LMArena Expert1126—
MMLU74.4%—

Multilingual Not comparable

Qwen1.5-32B: 31.4 (#259), Qwen3.6 27B: —

Multilingual benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
LMArena Non-English1106—
LMArena Chinese1177—
LMArena French1101—
LMArena German1058—
LMArena Japanese1027—
LMArena Korean1008—
LMArena Russian1073—
LMArena Spanish1089—

Instruction Following Not comparable

Qwen1.5-32B: 57.7 (#265), Qwen3.6 27B: —

Instruction Following benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
LMArena Instruction Following1116—

Long Context Not comparable

Qwen1.5-32B: 34.7 (#246), Qwen3.6 27B: —

Long Context benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
LMArena Longer Query1146—

Writing & Preference Qwen3.6 27B leads

Qwen1.5-32B: 34.2 (#271), Qwen3.6 27B: 50.3 (#181)

Writing & Preference benchmarks
BenchmarkQwen1.5-32BQwen3.6 27B
LMArena Text1137—
LMArena Creative Writing1083—
EQ-Bench 4—1026
LMArena Multi-Turn1140—

Frequently asked questions

Is Qwen1.5-32B better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 30.5 on the Noometry Index.

Is Qwen1.5-32B or Qwen3.6 27B better for coding?

Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 31.7 in the Noometry coding category.

How many benchmarks do Qwen1.5-32B and Qwen3.6 27B share?

1 benchmark has published results for both models. Qwen1.5-32B has 21 scored results on Noometry and Qwen3.6 27B has 11.

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