Model comparison

Qwen3.6 27B vs Qwen3 Max

Qwen3 Max is the stronger model overall, scoring 43.5 to 41.9 on the Noometry Index. Qwen3.6 27B costs 1.8× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.

Last verified . 8 shared benchmarks.

Qwen3.6 27B Alibaba (Qwen)

41.9

Rank #112 Confirmed

Qwen3 Max Alibaba (Qwen)

43.5

Rank #82 Confirmed

Summary

  • They share 8 benchmarks with published results for both. Qwen3.6 27B scores higher in 3 categories and Qwen3 Max in 2 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3 Max leads 62.6 to 50.3.
  • The biggest single-benchmark swing is Chess Puzzles: 22% for Qwen3.6 27B and 4% for Qwen3 Max.
  • Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $1.20 / $6 for Qwen3 Max.
  • Qwen3.6 27B has downloadable open weights; the other is API-only.

Side by side

Qwen3.6 27B and Qwen3 Max specifications
Qwen3.6 27BQwen3 Max
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index41.943.5
Released2026-04-222025-09-23
WeightsOpenProprietary
Context window262K262K
Max output66K66K
Input $ / M tokens$0.60$1.20
Output $ / M tokens$3.60$6
Results tracked1133

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Category by category

Coding Qwen3 Max leads

Qwen3.6 27B: 38.5 (#162), Qwen3 Max: 42.4 (#93)

Coding benchmarks
BenchmarkQwen3.6 27BQwen3 Max
SciCode37.3%—
LMArena Coding—1456
ALE-Bench—370.45

Agentic & Tool Use Not comparable

Qwen3.6 27B: —, Qwen3 Max: —

Agentic & Tool Use benchmarks
BenchmarkQwen3.6 27BQwen3 Max
Vending-Bench 2—71.56

Reasoning Qwen3.6 27B leads

Qwen3.6 27B: 24.4 (#148), Qwen3 Max: 22.0 (#186)

Reasoning benchmarks
BenchmarkQwen3.6 27BQwen3 Max
Chess Puzzles22%4%
Mystery Game Puzzles7%5%
DTBench78.1%82.1%
LMCA34.5%28.3%
Epoch Capabilities Index146.47142.41
Kagi LLM Benchmark—72.5%
NYT Connections (extended)—30.1%
CritPt0.9%—
LMArena Hard Prompts—1448

Math Qwen3.6 27B leads

Qwen3.6 27B: 47.5 (#56), Qwen3 Max: 37.6 (#94)

Math benchmarks
BenchmarkQwen3.6 27BQwen3 Max
FrontierMath (Tiers 1-3)35.1%18.9%
OTIS Mock AIME 2024-202591.1%73.3%
LMArena Math—1447
MATH Level 5—97.1%

Knowledge Qwen3.6 27B leads

Qwen3.6 27B: 52.4 (#58), Qwen3 Max: 48.1 (#72)

Knowledge benchmarks
BenchmarkQwen3.6 27BQwen3 Max
GPQA Diamond85.9%72.6%
SimpleQA Verified—48.7%
LMArena Expert—1457

Multilingual Not comparable

Qwen3.6 27B: —, Qwen3 Max: 53.9 (#58)

Multilingual benchmarks
BenchmarkQwen3.6 27BQwen3 Max
LMArena Non-English—1429
LMArena Chinese—1479
LMArena French—1450
LMArena German—1463
LMArena Japanese—1399
LMArena Korean—1397
LMArena Russian—1428
LMArena Spanish—1463

Instruction Following Not comparable

Qwen3.6 27B: —, Qwen3 Max: 75.0 (#81)

Instruction Following benchmarks
BenchmarkQwen3.6 27BQwen3 Max
LMArena Instruction Following—1420

Long Context Not comparable

Qwen3.6 27B: —, Qwen3 Max: 41.6 (#129)

Long Context benchmarks
BenchmarkQwen3.6 27BQwen3 Max
Fiction.LiveBench—66.7%
CL-bench—14.5%
LMArena Longer Query—1439

Writing & Preference Qwen3 Max leads

Qwen3.6 27B: 50.3 (#180), Qwen3 Max: 62.6 (#72)

Writing & Preference benchmarks
BenchmarkQwen3.6 27BQwen3 Max
LMArena Text—1439
LMArena Creative Writing—1401
EQ-Bench 41026—
LMArena Multi-Turn—1446

Frequently asked questions

Is Qwen3.6 27B better than Qwen3 Max?

Qwen3 Max is the stronger model overall, scoring 43.5 to 41.9 on the Noometry Index. Qwen3.6 27B costs 1.8× less per token, which makes it the better buy when Qwen3 Max's lead doesn't matter for your workload.

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

Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Qwen3 Max lists at $1.20 and $6.

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

Qwen3 Max scores higher on coding benchmarks: 42.4 versus 38.5 in the Noometry coding category.

Which has the bigger context window?

Both accept 262K tokens.

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

8 benchmarks have published results for both models. Qwen3.6 27B has 11 scored results on Noometry and Qwen3 Max has 33.

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