Model comparison

Gemma 3 4B vs GPT-5.3 Codex

GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 96× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

Gemma 3 4B

Google

28.1

Rank #326 Confirmed

GPT-5.3 Codex OpenAI

45.8

Rank #69 Reported

Summary

They share 1 benchmark with published results for both. Gemma 3 4B scores higher in 0 categories and GPT-5.3 Codex in 2 categories; 2 gaps are clear of the uncertainty.
The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 20.9.
Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
GPT-5.3 Codex accepts more context: 400K tokens versus 131K.
Gemma 3 4B has downloadable open weights; the other is API-only.

Side by side

Gemma 3 4B and GPT-5.3 Codex specifications
	Gemma 3 4B	GPT-5.3 Codex
Provider	Google	OpenAI
Noometry Index	28.1	45.8
Released	2025-03-12	2026-02-05
Weights	Open	Proprietary
Context window	131K	400K
Max output	4K	128K
Input $ / M tokens	$0.04	$1.75
Output $ / M tokens	$0.08	$14
Results tracked	22	8

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Category by category

Coding GPT-5.3 Codex leads

Gemma 3 4B: 35.9 (#215), GPT-5.3 Codex: 48.6 (#56)

Coding benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
SWE-bench Verified	—	74.8%
LMArena WebDev	—	1409
WeirdML	—	79.3%
LMArena Coding	1230	—
ALE-Bench	—	1,655

Agentic & Tool Use GPT-5.3 Codex leads

Gemma 3 4B: 20.9 (#142), GPT-5.3 Codex: 48.0 (#9)

Agentic & Tool Use benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
Terminal-Bench	—	78.4%
Berkeley Function Calling Leaderboard	19.6%	—
METR Time Horizons	—	74.5%
Vending-Bench 2	—	5,940

Reasoning Not comparable

Gemma 3 4B: 13.2 (#335), GPT-5.3 Codex: —

Reasoning benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
Epoch Capabilities Index	116.02	156.77
Kagi LLM Benchmark	25.2%	—
Chess Puzzles	0%	—
LMArena Hard Prompts	1253	—
DTBench	50.9%	—
LMCA	2.8%	—

Math Not comparable

Gemma 3 4B: 16.8 (#292), GPT-5.3 Codex: —

Math benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
OTIS Mock AIME 2024-2025	7.5%	—
LMArena Math	1239	—

Knowledge Not comparable

Gemma 3 4B: 11.8 (#299), GPT-5.3 Codex: —

Knowledge benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
GPQA Diamond	23.2%	—
Vectara Hallucination Rate	6.4%	—
LMArena Expert	1223	—

Multilingual Not comparable

Gemma 3 4B: 42.5 (#194), GPT-5.3 Codex: —

Multilingual benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
LMArena Non-English	1273	—
LMArena German	1281	—
LMArena Russian	1294	—

Instruction Following Not comparable

Gemma 3 4B: 65.2 (#225), GPT-5.3 Codex: —

Instruction Following benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
LMArena Instruction Following	1239	—

Long Context Not comparable

Gemma 3 4B: 38.7 (#194), GPT-5.3 Codex: —

Long Context benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
LMArena Longer Query	1273	—

Writing & Preference Not comparable

Gemma 3 4B: 42.0 (#239), GPT-5.3 Codex: —

Writing & Preference benchmarks
Benchmark	Gemma 3 4B	GPT-5.3 Codex
LMArena Text	1291	—
LMArena Creative Writing	1271	—
EQ-Bench Creative Writing	1068	—
LMArena Multi-Turn	1255	—

Frequently asked questions

Is Gemma 3 4B better than GPT-5.3 Codex?

Which is cheaper, Gemma 3 4B or GPT-5.3 Codex?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

Is Gemma 3 4B or GPT-5.3 Codex better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 131K.

How many benchmarks do Gemma 3 4B and GPT-5.3 Codex share?

1 benchmark has published results for both models. Gemma 3 4B has 22 scored results on Noometry and GPT-5.3 Codex has 8.