Noometry

Model comparison

Gemma 3 12B vs GPT-5 Pro

GPT-5 Pro is the stronger model overall, scoring 46.4 to 32.1 on the Noometry Index. Gemma 3 12B costs 550× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

Gemma 3 12B Google

32.1

Rank #262 Confirmed

GPT-5 Pro OpenAI

46.4

Rank #64 Confirmed

Summary

  • They share 1 benchmark with published results for both. Gemma 3 12B scores higher in 0 categories and GPT-5 Pro in 4 categories; 4 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GPT-5 Pro leads 56.7 to 26.5.
  • Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
  • GPT-5 Pro accepts more context: 400K tokens versus 131K.
  • Gemma 3 12B has downloadable open weights; the other is API-only.

Side by side

Gemma 3 12BGPT-5 Pro
ProviderGoogleOpenAI
Noometry Index32.146.4
Released2025-03-122025-10-06
WeightsOpenProprietary
Context window131K400K
Max output8K272K
Input $ / M tokens$0.05$15
Output $ / M tokens$0.15$120
Results tracked2412

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Category by category

Coding GPT-5 Pro leads

Gemma 3 12B: 31.7 (#280), GPT-5 Pro: 44.0 (#80)

BenchmarkGemma 3 12BGPT-5 Pro
SciCode17.4%—
WeirdML—60.4%
LMArena Coding1281—
AlgoTune—1.31

Agentic & Tool Use Not comparable

Gemma 3 12B: 25.5 (#108), GPT-5 Pro: —

BenchmarkGemma 3 12BGPT-5 Pro
Berkeley Function Calling Leaderboard30.4%—

Reasoning GPT-5 Pro leads

Gemma 3 12B: 15.7 (#313), GPT-5 Pro: 38.9 (#62)

BenchmarkGemma 3 12BGPT-5 Pro
Epoch Capabilities Index123.5150.28
ARC-AGI-2—18.3%
SimpleBench—61.6%
Kagi LLM Benchmark—76.8%
ARC-AGI-1—70.2%
CritPt0%—
Chess Puzzles0%—
EnigmaEval—18.8%
LMArena Hard Prompts1309—
DTBench48.8%—
LMCA4.5%—

Math GPT-5 Pro leads

Gemma 3 12B: 22.3 (#279), GPT-5 Pro: 48.5 (#63)

BenchmarkGemma 3 12BGPT-5 Pro
FrontierMath (Tiers 1-3)—55.8%
FrontierMath Tier 4—19.5%
OTIS Mock AIME 2024-202516.7%—
LMArena Math1307—
FrontierMath Tier 4 (v1)—14.6%

Knowledge GPT-5 Pro leads

Gemma 3 12B: 26.5 (#257), GPT-5 Pro: 56.7 (#42)

BenchmarkGemma 3 12BGPT-5 Pro
GPQA Diamond39.5%—
Humanity's Last Exam—31.6%
Vectara Hallucination Rate4.4%—
LMArena Expert1248—

Multimodal Not comparable

Gemma 3 12B: —, GPT-5 Pro: —

BenchmarkGemma 3 12BGPT-5 Pro
MindCube46.7%—

Multilingual Not comparable

Gemma 3 12B: 45.7 (#165), GPT-5 Pro: —

BenchmarkGemma 3 12BGPT-5 Pro
LMArena Non-English1318—
LMArena German1370—
LMArena Russian1335—

Instruction Following Not comparable

Gemma 3 12B: 68.6 (#186), GPT-5 Pro: —

BenchmarkGemma 3 12BGPT-5 Pro
LMArena Instruction Following1299—

Long Context Not comparable

Gemma 3 12B: 40.0 (#162), GPT-5 Pro: —

BenchmarkGemma 3 12BGPT-5 Pro
LMArena Longer Query1317—

Writing & Preference Not comparable

Gemma 3 12B: 47.5 (#209), GPT-5 Pro: —

BenchmarkGemma 3 12BGPT-5 Pro
LMArena Text1334—
LMArena Creative Writing1331—
EQ-Bench Creative Writing1126—
LMArena Multi-Turn1334—

Frequently asked questions

Is Gemma 3 12B better than GPT-5 Pro?

GPT-5 Pro is the stronger model overall, scoring 46.4 to 32.1 on the Noometry Index. Gemma 3 12B costs 550× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemma 3 12B or GPT-5 Pro?

Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GPT-5 Pro lists at $15 and $120.

Is Gemma 3 12B or GPT-5 Pro better for coding?

GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 31.7 in the Noometry coding category.

Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 131K.

How many benchmarks do Gemma 3 12B and GPT-5 Pro share?

1 benchmark has published results for both models. Gemma 3 12B has 24 scored results on Noometry and GPT-5 Pro has 12.

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