Model comparison

Gemma 2 2b IT vs gpt-oss-120b

gpt-oss-120b is the stronger model overall, scoring 36.3 to 33.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemma 2 2b IT Google

33.1

Rank #248 Confirmed

gpt-oss-120b OpenAI

36.3

Rank #217 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 2 2b IT scores higher in 2 categories and gpt-oss-120b in 6 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where gpt-oss-120b leads 52.5 to 32.6.

Side by side

Gemma 2 2b IT and gpt-oss-120b specifications
Gemma 2 2b ITgpt-oss-120b
ProviderGoogleOpenAI
Noometry Index33.136.3
Released—2025-08-05
WeightsOpenOpen
Context window—131K
Max output—41K
Input $ / M tokens—$0.037
Output $ / M tokens—$0.17
Results tracked1748

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Category by category

Coding gpt-oss-120b leads

Gemma 2 2b IT: 32.3 (#273), gpt-oss-120b: 33.5 (#256)

Coding benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Coding11121380
SWE-bench Verified (bash only)—26%
Aider Polyglot—41.8%
SciCode—36%
WeirdML—48.2%
ALE-Bench—575.62
AlgoTune—1.41

Agentic & Tool Use Not comparable

Gemma 2 2b IT: —, gpt-oss-120b: 12.2 (#153)

Agentic & Tool Use benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
Terminal-Bench—18.7%
APEX-Agents—4.4%
METR Time Horizons—56.6%
Vending-Bench 2—-21.53

Reasoning Gemma 2 2b IT leads

Gemma 2 2b IT: 21.4 (#224), gpt-oss-120b: 20.0 (#245)

Reasoning benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Hard Prompts11131364
SimpleBench—22.1%
Kagi LLM Benchmark—58.6%
CritPt—1.1%
Chess Puzzles—20%
Mystery Game Puzzles—2%
DTBench—76.3%
LMCA—22.1%
Surface Evolver Bench—25%
Epoch Capabilities Index—139.93

Math gpt-oss-120b leads

Gemma 2 2b IT: 32.6 (#212), gpt-oss-120b: 52.5 (#50)

Math benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Math11351389
OTIS Mock AIME 2024-2025—88.9%
Omni-MATH—68.8%

Knowledge gpt-oss-120b leads

Gemma 2 2b IT: 29.9 (#231), gpt-oss-120b: 42.4 (#96)

Knowledge benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Expert10961356
GPQA Diamond—75.8%
MMLU-Pro—79.5%
Confabulations—15.7%
Vectara Hallucination Rate—14.2%
GPQA (HELM)—68.4%

Multilingual gpt-oss-120b leads

Gemma 2 2b IT: 32.3 (#257), gpt-oss-120b: 48.0 (#147)

Multilingual benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Non-English11211351
LMArena Chinese11321385
LMArena French11571369
LMArena German11141353
LMArena Japanese10831331
LMArena Korean10551282
LMArena Russian11181343
LMArena Spanish11401389

Instruction Following gpt-oss-120b leads

Gemma 2 2b IT: 57.8 (#263), gpt-oss-120b: 69.3 (#173)

Instruction Following benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Instruction Following11181318
IFEval—83.6%

Long Context Gemma 2 2b IT leads

Gemma 2 2b IT: 34.3 (#250), gpt-oss-120b: 31.4 (#278)

Long Context benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Longer Query11301319
Fiction.LiveBench—44.4%

Writing & Preference gpt-oss-120b leads

Gemma 2 2b IT: 36.5 (#263), gpt-oss-120b: 46.5 (#217)

Writing & Preference benchmarks
BenchmarkGemma 2 2b ITgpt-oss-120b
LMArena Text11561365
LMArena Creative Writing11471275
LMArena Multi-Turn11181340
Short-Story Creative Writing—77.1%
EQ-Bench Creative Writing—961
WildBench—84.5%

Frequently asked questions

Is Gemma 2 2b IT better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 33.1 on the Noometry Index.

Is Gemma 2 2b IT or gpt-oss-120b better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.5 versus 32.3 in the Noometry coding category.

How many benchmarks do Gemma 2 2b IT and gpt-oss-120b share?

17 benchmarks have published results for both models. Gemma 2 2b IT has 17 scored results on Noometry and gpt-oss-120b has 48.

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