Model comparison

Gemma 3 12B vs GPT-5.2 Pro

GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 32.1 on the Noometry Index. Gemma 3 12B costs 770× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.

Last verified October 11, 2026. 1 shared benchmarks.

Gemma 3 12B

Google

32.1

Rank #262 Confirmed

GPT-5.2 Pro OpenAI

52.3

Rank #39 Reported

Summary

They share 1 benchmark with published results for both. Gemma 3 12B scores higher in 0 categories and GPT-5.2 Pro in 2 categories; 2 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.2 Pro leads 65.3 to 22.3.
Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
GPT-5.2 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 12B and GPT-5.2 Pro specifications
	Gemma 3 12B	GPT-5.2 Pro
Provider	Google	OpenAI
Noometry Index	32.1	52.3
Released	2025-03-12	2025-12-11
Weights	Open	Proprietary
Context window	131K	400K
Max output	8K	128K
Input $ / M tokens	$0.05	$21
Output $ / M tokens	$0.15	$168
Results tracked	24	8

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Category by category

Coding Not comparable

Gemma 3 12B: 31.7 (#280), GPT-5.2 Pro: —

Coding benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
SciCode	17.4%	—
LMArena Coding	1281	—

Agentic & Tool Use Not comparable

Gemma 3 12B: 25.5 (#108), GPT-5.2 Pro: —

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
Berkeley Function Calling Leaderboard	30.4%	—

Reasoning GPT-5.2 Pro leads

Gemma 3 12B: 15.7 (#313), GPT-5.2 Pro: 51.5 (#33)

Reasoning benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
Epoch Capabilities Index	123.5	155.4
ARC-AGI-2	—	54.2%
SimpleBench	—	57.4%
NYT Connections (extended)	—	79.3%
ARC-AGI-1	—	90.5%
CritPt	0%	—
Chess Puzzles	0%	—
LMArena Hard Prompts	1309	—
DTBench	48.8%	—
LMCA	4.5%	—

Math GPT-5.2 Pro leads

Gemma 3 12B: 22.3 (#279), GPT-5.2 Pro: 65.3 (#29)

Math benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
FrontierMath (Tiers 1-3)	—	74%
FrontierMath Tier 4	—	46%
OTIS Mock AIME 2024-2025	16.7%	—
LMArena Math	1307	—
FrontierMath Tier 4 (v1)	—	31.3%

Knowledge Not comparable

Gemma 3 12B: 26.5 (#257), GPT-5.2 Pro: —

Knowledge benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
GPQA Diamond	39.5%	—
Vectara Hallucination Rate	4.4%	—
LMArena Expert	1248	—

Multimodal Not comparable

Gemma 3 12B: —, GPT-5.2 Pro: —

Multimodal benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
MindCube	46.7%	—

Multilingual Not comparable

Gemma 3 12B: 45.7 (#165), GPT-5.2 Pro: —

Multilingual benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
LMArena Non-English	1318	—
LMArena German	1370	—
LMArena Russian	1335	—

Instruction Following Not comparable

Gemma 3 12B: 68.6 (#186), GPT-5.2 Pro: —

Instruction Following benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
LMArena Instruction Following	1299	—

Long Context Not comparable

Gemma 3 12B: 40.0 (#162), GPT-5.2 Pro: —

Long Context benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
LMArena Longer Query	1317	—

Writing & Preference Not comparable

Gemma 3 12B: 47.5 (#209), GPT-5.2 Pro: —

Writing & Preference benchmarks
Benchmark	Gemma 3 12B	GPT-5.2 Pro
LMArena Text	1334	—
LMArena Creative Writing	1331	—
EQ-Bench Creative Writing	1126	—
LMArena Multi-Turn	1334	—

Frequently asked questions

Is Gemma 3 12B better than GPT-5.2 Pro?

Which is cheaper, Gemma 3 12B or GPT-5.2 Pro?

Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; GPT-5.2 Pro lists at $21 and $168.

Which has the bigger context window?

GPT-5.2 Pro does, with 400K tokens against 131K.

How many benchmarks do Gemma 3 12B and GPT-5.2 Pro share?

1 benchmark has published results for both models. Gemma 3 12B has 24 scored results on Noometry and GPT-5.2 Pro has 8.