Model comparison

Qwen3 32B vs Qwen3.6 27B

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 39.2 on the Noometry Index.

Last verified . 8 shared benchmarks.

Qwen3 32B Alibaba (Qwen)

39.2

Rank #172 Confirmed

Qwen3.6 27B Alibaba (Qwen)

42.2

Rank #117 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Qwen3 32B scores higher in 1 category and Qwen3.6 27B in 4 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 40.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.9% for Qwen3 32B and 91.1% for Qwen3.6 27B.
  • Qwen3 32B is cheaper at $0.70 / $2.80 per million input/output tokens, against $0.60 / $3.60 for Qwen3.6 27B.
  • Qwen3.6 27B accepts more context: 262K tokens versus 131K.

Side by side

Qwen3 32B and Qwen3.6 27B specifications
Qwen3 32BQwen3.6 27B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index39.242.2
Released2025-042026-04-22
WeightsOpenOpen
Context window131K262K
Max output16K66K
Input $ / M tokens$0.70$0.60
Output $ / M tokens$2.80$3.60
Results tracked2611

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Category by category

Coding Qwen3.6 27B leads

Qwen3 32B: 37.7 (#190), Qwen3.6 27B: 39.1 (#163)

Coding benchmarks
BenchmarkQwen3 32BQwen3.6 27B
SciCode35.4%37.3%
Aider Polyglot40%—
LMArena Coding1358—

Agentic & Tool Use Not comparable

Qwen3 32B: 32.6 (#62), Qwen3.6 27B: —

Agentic & Tool Use benchmarks
BenchmarkQwen3 32BQwen3.6 27B
Berkeley Function Calling Leaderboard48.7%—

Reasoning Qwen3.6 27B leads

Qwen3 32B: 20.2 (#241), Qwen3.6 27B: 25.0 (#153)

Reasoning benchmarks
BenchmarkQwen3 32BQwen3.6 27B
CritPt0.3%0.9%
Chess Puzzles5%22%
DTBench67.5%78.1%
LMCA17.3%34.5%
Epoch Capabilities Index138.51146.5
Kagi LLM Benchmark54.9%—
LMArena Hard Prompts1334—
Mystery Game Puzzles—7%

Math Qwen3.6 27B leads

Qwen3 32B: 39.7 (#99), Qwen3.6 27B: 48.5 (#62)

Math benchmarks
BenchmarkQwen3 32BQwen3.6 27B
OTIS Mock AIME 2024-202566.9%91.1%
FrontierMath (Tiers 1-3)—35.1%
LMArena Math1399—

Knowledge Qwen3.6 27B leads

Qwen3 32B: 40.0 (#125), Qwen3.6 27B: 52.4 (#63)

Knowledge benchmarks
BenchmarkQwen3 32BQwen3.6 27B
GPQA Diamond65.7%85.9%
Vectara Hallucination Rate5.9%—
LMArena Expert1362—

Multilingual Not comparable

Qwen3 32B: 45.6 (#167), Qwen3.6 27B: —

Multilingual benchmarks
BenchmarkQwen3 32BQwen3.6 27B
LMArena Non-English1317—
LMArena Chinese1357—
LMArena German1341—
LMArena Russian1311—

Instruction Following Not comparable

Qwen3 32B: 68.9 (#179), Qwen3.6 27B: —

Instruction Following benchmarks
BenchmarkQwen3 32BQwen3.6 27B
LMArena Instruction Following1305—

Long Context Not comparable

Qwen3 32B: 43.8 (#87), Qwen3.6 27B: —

Long Context benchmarks
BenchmarkQwen3 32BQwen3.6 27B
Fiction.LiveBench74.2%—
LMArena Longer Query1327—

Writing & Preference Qwen3 32B leads

Qwen3 32B: 52.9 (#163), Qwen3.6 27B: 50.3 (#181)

Writing & Preference benchmarks
BenchmarkQwen3 32BQwen3.6 27B
LMArena Text1340—
LMArena Creative Writing1297—
EQ-Bench 4—1026
LMArena Multi-Turn1331—

Frequently asked questions

Is Qwen3 32B better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 39.2 on the Noometry Index.

Which is cheaper, Qwen3 32B or Qwen3.6 27B?

Qwen3 32B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Qwen3.6 27B lists at $0.60 and $3.60.

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

Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 37.7 in the Noometry coding category.

Which has the bigger context window?

Qwen3.6 27B does, with 262K tokens against 131K.

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

8 benchmarks have published results for both models. Qwen3 32B has 26 scored results on Noometry and Qwen3.6 27B has 11.

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