Model comparison

Gemma 2 2b IT vs Qwen3 235B-A22B

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 33.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemma 2 2b IT Google

33.1

Rank #248 Confirmed

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 2 2b IT scores higher in 1 category and Qwen3 235B-A22B in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3 235B-A22B leads 59.6 to 36.5.

Side by side

Gemma 2 2b IT and Qwen3 235B-A22B specifications
Gemma 2 2b ITQwen3 235B-A22B
ProviderGoogleAlibaba (Qwen)
Noometry Index33.143.5
Released—2025-04
WeightsOpenOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked1749

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Category by category

Coding Qwen3 235B-A22B leads

Gemma 2 2b IT: 32.3 (#273), Qwen3 235B-A22B: 44.3 (#75)

Coding benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Coding11121445
Aider Polyglot—59.6%
SciCode—42.4%
WeirdML—41%

Agentic & Tool Use Not comparable

Gemma 2 2b IT: —, Qwen3 235B-A22B: 33.9 (#51)

Agentic & Tool Use benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
Berkeley Function Calling Leaderboard—52.1%
Vending-Bench 2—-11.34

Reasoning Gemma 2 2b IT leads

Gemma 2 2b IT: 21.4 (#224), Qwen3 235B-A22B: 15.7 (#311)

Reasoning benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Hard Prompts11131433
ARC-AGI-2—1.3%
SimpleBench—31%
Kagi LLM Benchmark—69.4%
ARC-AGI-1—11%
CritPt—0%
Chess Puzzles—12%
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%
Epoch Capabilities Index—143.85
ForecastBench—59.7

Math Qwen3 235B-A22B leads

Gemma 2 2b IT: 32.6 (#212), Qwen3 235B-A22B: 50.4 (#57)

Math benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Math11351432
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH—71.8%
MATH Level 5—68.9%
FrontierMath (Feb 2025 set)—8.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3 235B-A22B leads

Gemma 2 2b IT: 29.9 (#231), Qwen3 235B-A22B: 49.6 (#73)

Knowledge benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Expert10961463
GPQA Diamond—80.1%
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—72.7%

Multilingual Qwen3 235B-A22B leads

Gemma 2 2b IT: 32.3 (#257), Qwen3 235B-A22B: 52.3 (#89)

Multilingual benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Non-English11211409
LMArena Chinese11321481
LMArena French11571445
LMArena German11141433
LMArena Japanese10831399
LMArena Korean10551391
LMArena Russian11181411
LMArena Spanish11401430

Instruction Following Qwen3 235B-A22B leads

Gemma 2 2b IT: 57.8 (#263), Qwen3 235B-A22B: 72.6 (#136)

Instruction Following benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Instruction Following11181408
IFEval—83.5%

Long Context Qwen3 235B-A22B leads

Gemma 2 2b IT: 34.3 (#250), Qwen3 235B-A22B: 46.1 (#26)

Long Context benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Longer Query11301426
Fiction.LiveBench—75%

Writing & Preference Qwen3 235B-A22B leads

Gemma 2 2b IT: 36.5 (#263), Qwen3 235B-A22B: 59.6 (#108)

Writing & Preference benchmarks
BenchmarkGemma 2 2b ITQwen3 235B-A22B
LMArena Text11561419
LMArena Creative Writing11471384
LMArena Multi-Turn11181432
Short-Story Creative Writing—83%
EQ-Bench Creative Writing—1366
WildBench—86.6%

Frequently asked questions

Is Gemma 2 2b IT better than Qwen3 235B-A22B?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 33.1 on the Noometry Index.

Is Gemma 2 2b IT or Qwen3 235B-A22B better for coding?

Qwen3 235B-A22B scores higher on coding benchmarks: 44.3 versus 32.3 in the Noometry coding category.

How many benchmarks do Gemma 2 2b IT and Qwen3 235B-A22B share?

17 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and Qwen3 235B-A22B has 49.

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