Noometry

Model comparison

Gemma 3 4B vs gpt-oss-20b

gpt-oss-20b is the stronger model overall, scoring 32.1 to 27.9 on the Noometry Index.

Last verified . 20 shared benchmarks.

Gemma 3 4B Google

27.9

Rank #320 Confirmed

gpt-oss-20b OpenAI

32.1

Rank #249 Confirmed

Summary

  • They share 20 benchmarks with published results for both. Gemma 3 4B scores higher in 5 categories and gpt-oss-20b in 4 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where gpt-oss-20b leads 34.6 to 11.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 65.3% for gpt-oss-20b.
  • gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.04 / $0.08 for Gemma 3 4B.

Side by side

Gemma 3 4Bgpt-oss-20b
ProviderGoogleOpenAI
Noometry Index27.932.1
Released2025-03-122025-08-05
WeightsOpenOpen
Context window131K131K
Max output4K16K
Input $ / M tokens$0.04$0.018
Output $ / M tokens$0.08$0.09
Results tracked2234

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Category by category

Coding gpt-oss-20b leads

Gemma 3 4B: 35.3 (#214), gpt-oss-20b: 37.1 (#185)

BenchmarkGemma 3 4Bgpt-oss-20b
LMArena Coding12301307
SciCode—34.4%
WeirdML—40.9%
ALE-Bench—566.05

Agentic & Tool Use Gemma 3 4B leads

Gemma 3 4B: 20.7 (#134), gpt-oss-20b: 9.2 (#146)

BenchmarkGemma 3 4Bgpt-oss-20b
Terminal-Bench—3.4%
Berkeley Function Calling Leaderboard19.6%—

Reasoning gpt-oss-20b leads

Gemma 3 4B: 12.7 (#330), gpt-oss-20b: 18.8 (#251)

BenchmarkGemma 3 4Bgpt-oss-20b
Kagi LLM Benchmark25.2%53.2%
Chess Puzzles0%4%
LMArena Hard Prompts12531274
DTBench50.9%68%
LMCA2.8%14.5%
Epoch Capabilities Index116.02137.81
CritPt—1.4%

Math gpt-oss-20b leads

Gemma 3 4B: 15.8 (#286), gpt-oss-20b: 37.6 (#93)

BenchmarkGemma 3 4Bgpt-oss-20b
OTIS Mock AIME 2024-20257.5%65.3%
LMArena Math12391317
Omni-MATH—56.5%

Knowledge gpt-oss-20b leads

Gemma 3 4B: 11.8 (#294), gpt-oss-20b: 34.6 (#186)

BenchmarkGemma 3 4Bgpt-oss-20b
GPQA Diamond23.2%60.8%
LMArena Expert12231258
MMLU-Pro—74%
Vectara Hallucination Rate6.4%—
GPQA (HELM)—59.4%

Multilingual Too close to call

Gemma 3 4B: 42.7 (#189), gpt-oss-20b: 42.4 (#192)

BenchmarkGemma 3 4Bgpt-oss-20b
LMArena Non-English12731269
LMArena German12811249
LMArena Russian12941279
LMArena Chinese—1311
LMArena Japanese—1245
LMArena Korean—1239
LMArena Spanish—1267

Instruction Following Gemma 3 4B leads

Gemma 3 4B: 65.4 (#219), gpt-oss-20b: 62.0 (#235)

BenchmarkGemma 3 4Bgpt-oss-20b
LMArena Instruction Following12391236
IFEval—73.2%

Long Context Too close to call

Gemma 3 4B: 38.6 (#189), gpt-oss-20b: 37.9 (#203)

BenchmarkGemma 3 4Bgpt-oss-20b
LMArena Longer Query12741251

Writing & Preference Gemma 3 4B leads

Gemma 3 4B: 42.2 (#234), gpt-oss-20b: 35.8 (#260)

BenchmarkGemma 3 4Bgpt-oss-20b
LMArena Text12911288
LMArena Creative Writing12701201
EQ-Bench Creative Writing1068666
LMArena Multi-Turn12551268
WildBench—73.7%

Frequently asked questions

Is Gemma 3 4B better than gpt-oss-20b?

gpt-oss-20b is the stronger model overall, scoring 32.1 to 27.9 on the Noometry Index.

Which is cheaper, Gemma 3 4B or gpt-oss-20b?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Gemma 3 4B lists at $0.04 and $0.08.

Is Gemma 3 4B or gpt-oss-20b better for coding?

gpt-oss-20b scores higher on coding benchmarks: 37.1 versus 35.3 in the Noometry coding category.

Which has the bigger context window?

Both accept 131K tokens.

How many benchmarks do Gemma 3 4B and gpt-oss-20b share?

20 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and gpt-oss-20b has 34.

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