Model comparison

Qwen2-72B vs Qwen3.5-9B

Qwen3.5-9B is the stronger model overall, scoring 33.3 to 29.5 on the Noometry Index.

Last verified . 2 shared benchmarks.

Qwen2-72B Alibaba (Qwen)

29.5

Rank #294 Confirmed

Qwen3.5-9B Alibaba (Qwen)

33.3

Rank #235 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Qwen2-72B scores higher in 1 category and Qwen3.5-9B in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 21.2.
  • The biggest single-benchmark swing is GPQA Diamond: 40.8% for Qwen2-72B and 79% for Qwen3.5-9B.

Side by side

Qwen2-72B and Qwen3.5-9B specifications
Qwen2-72BQwen3.5-9B
ProviderAlibaba (Qwen)Alibaba (Qwen)
Noometry Index29.533.3
Released2024-06-072026-02-23
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.15
Results tracked2610

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Category by category

Coding Qwen3.5-9B leads

Qwen2-72B: 28.7 (#303), Qwen3.5-9B: 35.3 (#213)

Coding benchmarks
BenchmarkQwen2-72BQwen3.5-9B
SciCode—27.5%
WeirdML11.3%—
BigCodeBench Instruct38.5%—
LMArena Coding1196—
BigCodeBench Complete54%—

Agentic & Tool Use Qwen2-72B leads

Qwen2-72B: 16.9 (#138), Qwen3.5-9B: 14.4 (#143)

Agentic & Tool Use benchmarks
BenchmarkQwen2-72BQwen3.5-9B
Terminal-Bench—9.2%
TheAgentCompany1.1%—
METR Time Horizons29.9%—

Reasoning Too close to call

Qwen2-72B: 22.2 (#184), Qwen3.5-9B: 22.5 (#178)

Reasoning benchmarks
BenchmarkQwen2-72BQwen3.5-9B
Epoch Capabilities Index125.27139.45
CritPt—0.3%
Chess Puzzles—12%
LMArena Hard Prompts1191—
DTBench—71.2%
LMCA—24.5%

Math Qwen3.5-9B leads

Qwen2-72B: 27.9 (#232), Qwen3.5-9B: 33.5 (#174)

Math benchmarks
BenchmarkQwen2-72BQwen3.5-9B
MathArena Final-Answer Competitions—48.5%
OTIS Mock AIME 2024-2025—61.7%
LMArena Math1235—
MATH Level 539.1%—

Knowledge Qwen3.5-9B leads

Qwen2-72B: 21.2 (#270), Qwen3.5-9B: 46.0 (#77)

Knowledge benchmarks
BenchmarkQwen2-72BQwen3.5-9B
GPQA Diamond40.8%79%
LMArena Expert1171—
MMLU82.4%—

Multilingual Not comparable

Qwen2-72B: 36.0 (#239), Qwen3.5-9B: —

Multilingual benchmarks
BenchmarkQwen2-72BQwen3.5-9B
LMArena Non-English1176—
LMArena Chinese1240—
LMArena French1169—
LMArena German1151—
LMArena Japanese1111—
LMArena Korean1083—
LMArena Russian1169—
LMArena Spanish1168—

Instruction Following Not comparable

Qwen2-72B: 62.0 (#236), Qwen3.5-9B: —

Instruction Following benchmarks
BenchmarkQwen2-72BQwen3.5-9B
LMArena Instruction Following1181—

Long Context Not comparable

Qwen2-72B: 36.1 (#230), Qwen3.5-9B: —

Long Context benchmarks
BenchmarkQwen2-72BQwen3.5-9B
LMArena Longer Query1193—

Writing & Preference Not comparable

Qwen2-72B: 41.0 (#236), Qwen3.5-9B: —

Writing & Preference benchmarks
BenchmarkQwen2-72BQwen3.5-9B
LMArena Text1203—
LMArena Creative Writing1181—
LMArena Multi-Turn1195—

Frequently asked questions

Is Qwen2-72B better than Qwen3.5-9B?

Qwen3.5-9B is the stronger model overall, scoring 33.3 to 29.5 on the Noometry Index.

Is Qwen2-72B or Qwen3.5-9B better for coding?

Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 28.7 in the Noometry coding category.

How many benchmarks do Qwen2-72B and Qwen3.5-9B share?

2 benchmarks have published results for both models. Qwen2-72B has 26 scored results on Noometry and Qwen3.5-9B has 10.

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