Model comparison

Gemma 3 12B vs GPT-5.5 Pro

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.8 on the Noometry Index. Gemma 3 12B costs 900× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified . 7 shared benchmarks.

Gemma 3 12B Google

31.8

Rank #255 Confirmed

GPT-5.5 Pro OpenAI

64.3

Rank #7 Confirmed

Summary

  • They share 7 benchmarks with published results for both. Gemma 3 12B scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 21.0.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 16.7% for Gemma 3 12B and 100% for GPT-5.5 Pro.
  • Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
  • GPT-5.5 Pro accepts more context: 1.05M tokens versus 131K.
  • Gemma 3 12B has downloadable open weights; the other is API-only.

Side by side

Gemma 3 12B and GPT-5.5 Pro specifications
Gemma 3 12BGPT-5.5 Pro
ProviderGoogleOpenAI
Noometry Index31.864.3
Released2025-03-122026-04-23
WeightsOpenProprietary
Context window131K1.05M
Max output8K128K
Input $ / M tokens$0.05$30
Output $ / M tokens$0.15$180
Results tracked2414

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Category by category

Coding Not comparable

Gemma 3 12B: 31.2 (#276), GPT-5.5 Pro: —

Coding benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
SciCode17.4%—
LMArena Coding1281—

Agentic & Tool Use Not comparable

Gemma 3 12B: 25.3 (#101), GPT-5.5 Pro: —

Agentic & Tool Use benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
Berkeley Function Calling Leaderboard30.4%—

Reasoning GPT-5.5 Pro leads

Gemma 3 12B: 15.2 (#307), GPT-5.5 Pro: 73.6 (#7)

Reasoning benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
CritPt0%30.6%
Chess Puzzles0%64%
DTBench48.8%96%
LMCA4.5%53.9%
Epoch Capabilities Index123.49162.45
ARC-AGI-2—84.6%
SimpleBench—76.9%
ARC-AGI-1—96.5%
LMArena Hard Prompts1309—

Math GPT-5.5 Pro leads

Gemma 3 12B: 21.0 (#273), GPT-5.5 Pro: 83.8 (#8)

Math benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
OTIS Mock AIME 2024-202516.7%100%
FrontierMath (Tiers 1-3)—87.7%
FrontierMath Tier 4—78%
LMArena Math1307—
FrontierMath (Feb 2025 set)—52.4%
FrontierMath Tier 4 (v1)—39.6%

Knowledge GPT-5.5 Pro leads

Gemma 3 12B: 26.5 (#250), GPT-5.5 Pro: 64.2 (#17)

Knowledge benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
GPQA Diamond39.5%93.9%
Vectara Hallucination Rate4.4%—
LMArena Expert1248—

Multimodal Not comparable

Gemma 3 12B: —, GPT-5.5 Pro: —

Multimodal benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
MindCube46.7%—

Multilingual Not comparable

Gemma 3 12B: 45.9 (#160), GPT-5.5 Pro: —

Multilingual benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
LMArena Non-English1318—
LMArena German1370—
LMArena Russian1335—

Instruction Following Not comparable

Gemma 3 12B: 68.8 (#179), GPT-5.5 Pro: —

Instruction Following benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
LMArena Instruction Following1299—

Long Context Not comparable

Gemma 3 12B: 40.0 (#157), GPT-5.5 Pro: —

Long Context benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
LMArena Longer Query1317—

Writing & Preference Not comparable

Gemma 3 12B: 47.7 (#205), GPT-5.5 Pro: —

Writing & Preference benchmarks
BenchmarkGemma 3 12BGPT-5.5 Pro
LMArena Text1334—
LMArena Creative Writing1331—
EQ-Bench Creative Writing1126—
LMArena Multi-Turn1334—

Frequently asked questions

Is Gemma 3 12B better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.8 on the Noometry Index. Gemma 3 12B costs 900× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Which is cheaper, Gemma 3 12B or GPT-5.5 Pro?

Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 131K.

How many benchmarks do Gemma 3 12B and GPT-5.5 Pro share?

7 benchmarks have published results for both models. Gemma 3 12B has 24 scored results on Noometry and GPT-5.5 Pro has 14.

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