Model comparison

Gemma 1.1 2b IT vs gpt-oss-120b

gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.3 on the Noometry Index.

Last verified . 14 shared benchmarks.

Gemma 1.1 2b IT Google

29.3

Rank #313 Confirmed

gpt-oss-120b OpenAI

36.3

Rank #217 Confirmed

Summary

  • They share 14 benchmarks with published results for both. Gemma 1.1 2b IT scores higher in 0 categories and gpt-oss-120b in 8 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where gpt-oss-120b leads 48.0 to 24.6.

Side by side

Gemma 1.1 2b IT and gpt-oss-120b specifications
Gemma 1.1 2b ITgpt-oss-120b
ProviderGoogleOpenAI
Noometry Index29.336.3
Released—2025-08-05
WeightsOpenOpen
Context window—131K
Max output—41K
Input $ / M tokens—$0.037
Output $ / M tokens—$0.17
Results tracked1648

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Category by category

Coding gpt-oss-120b leads

Gemma 1.1 2b IT: 30.1 (#299), gpt-oss-120b: 33.5 (#256)

Coding benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Coding10341380
SWE-bench Verified (bash only)—26%
Aider Polyglot—41.8%
SciCode—36%
WeirdML—48.2%
ALE-Bench—575.62
AlgoTune—1.41
HumanEval+17.7%—
MBPP+23.3%—

Agentic & Tool Use Not comparable

Gemma 1.1 2b IT: —, gpt-oss-120b: 12.2 (#153)

Agentic & Tool Use benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
Terminal-Bench—18.7%
APEX-Agents—4.4%
METR Time Horizons—56.6%
Vending-Bench 2—-21.53

Reasoning Too close to call

Gemma 1.1 2b IT: 19.1 (#270), gpt-oss-120b: 20.0 (#245)

Reasoning benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Hard Prompts10051364
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 1.1 2b IT: 30.8 (#232), gpt-oss-120b: 52.5 (#50)

Math benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Math10471389
OTIS Mock AIME 2024-2025—88.9%
Omni-MATH—68.8%

Knowledge gpt-oss-120b leads

Gemma 1.1 2b IT: 26.5 (#258), gpt-oss-120b: 42.4 (#96)

Knowledge benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Expert9701356
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 1.1 2b IT: 24.6 (#289), gpt-oss-120b: 48.0 (#147)

Multilingual benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Non-English9881351
LMArena Chinese10121385
LMArena German9441353
LMArena Korean8991282
LMArena Russian9901343
LMArena French—1369
LMArena Japanese—1331
LMArena Spanish—1389

Instruction Following gpt-oss-120b leads

Gemma 1.1 2b IT: 49.9 (#299), gpt-oss-120b: 69.3 (#173)

Instruction Following benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Instruction Following9921318
IFEval—83.6%

Long Context Too close to call

Gemma 1.1 2b IT: 30.6 (#286), gpt-oss-120b: 31.4 (#278)

Long Context benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Longer Query10031319
Fiction.LiveBench—44.4%

Writing & Preference gpt-oss-120b leads

Gemma 1.1 2b IT: 25.1 (#306), gpt-oss-120b: 46.5 (#217)

Writing & Preference benchmarks
BenchmarkGemma 1.1 2b ITgpt-oss-120b
LMArena Text10221365
LMArena Creative Writing9981275
LMArena Multi-Turn9591340
Short-Story Creative Writing—77.1%
EQ-Bench Creative Writing—961
WildBench—84.5%

Frequently asked questions

Is Gemma 1.1 2b IT better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 29.3 on the Noometry Index.

Is Gemma 1.1 2b IT or gpt-oss-120b better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.5 versus 30.1 in the Noometry coding category.

How many benchmarks do Gemma 1.1 2b IT and gpt-oss-120b share?

14 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and gpt-oss-120b has 48.

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