Model comparison

Gemma 3n E4b IT vs GPT-5.3 Codex

GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 64× 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. 0 shared benchmarks.

Gemma 3n E4b IT

Google

36.7

Rank #203 Confirmed

GPT-5.3 Codex OpenAI

45.5

Rank #61 Reported

Summary

The widest gap is in coding, where GPT-5.3 Codex leads 48.5 to 36.4.
Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
GPT-5.3 Codex accepts more context: 400K tokens versus 33K.
Gemma 3n E4b IT has downloadable open weights; the other is API-only.

Side by side

Gemma 3n E4b IT and GPT-5.3 Codex specifications
	Gemma 3n E4b IT	GPT-5.3 Codex
Provider	Google	OpenAI
Noometry Index	36.7	45.5
Released	2025-05-20	2026-02-05
Weights	Open	Proprietary
Context window	33K	400K
Max output	33K	128K
Input $ / M tokens	$0.06	$1.75
Output $ / M tokens	$0.12	$14
Results tracked	18	8

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Category by category

Coding GPT-5.3 Codex leads

Gemma 3n E4b IT: 36.4 (#193), GPT-5.3 Codex: 48.5 (#51)

Coding benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
SWE-bench Verified	—	74.8%
LMArena WebDev	—	1408
WeirdML	—	79.3%
LMArena Coding	1269	—
ALE-Bench	—	1,655

Agentic & Tool Use Not comparable

Gemma 3n E4b IT: —, GPT-5.3 Codex: 47.8 (#9)

Agentic & Tool Use benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
Terminal-Bench	—	78.4%
METR Time Horizons	—	74.5%
Vending-Bench 2	—	5,940

Reasoning Not comparable

Gemma 3n E4b IT: 19.2 (#239), GPT-5.3 Codex: —

Reasoning benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
Kagi LLM Benchmark	31.5%	—
LMArena Hard Prompts	1284	—
Epoch Capabilities Index	—	156.84

Math Not comparable

Gemma 3n E4b IT: 32.5 (#186), GPT-5.3 Codex: —

Math benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
LMArena Math	1251	—

Knowledge Not comparable

Gemma 3n E4b IT: 33.6 (#193), GPT-5.3 Codex: —

Knowledge benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
LMArena Expert	1245	—

Multilingual Not comparable

Gemma 3n E4b IT: 43.5 (#179), GPT-5.3 Codex: —

Multilingual benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
LMArena Non-English	1285	—
LMArena Chinese	1310	—
LMArena French	1330	—
LMArena German	1312	—
LMArena Japanese	1274	—
LMArena Korean	1259	—
LMArena Russian	1288	—
LMArena Spanish	1305	—

Instruction Following Not comparable

Gemma 3n E4b IT: 66.3 (#205), GPT-5.3 Codex: —

Instruction Following benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
LMArena Instruction Following	1255	—

Long Context Not comparable

Gemma 3n E4b IT: 38.8 (#185), GPT-5.3 Codex: —

Long Context benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
LMArena Longer Query	1277	—

Writing & Preference Not comparable

Gemma 3n E4b IT: 50.3 (#181), GPT-5.3 Codex: —

Writing & Preference benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Codex
LMArena Text	1306	—
LMArena Creative Writing	1287	—
LMArena Multi-Turn	1276	—

Frequently asked questions

Is Gemma 3n E4b IT better than GPT-5.3 Codex?

Which is cheaper, Gemma 3n E4b IT or GPT-5.3 Codex?

Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.

Is Gemma 3n E4b IT or GPT-5.3 Codex better for coding?

GPT-5.3 Codex scores higher on coding benchmarks: 48.5 versus 36.4 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Codex does, with 400K tokens against 33K.

How many benchmarks do Gemma 3n E4b IT and GPT-5.3 Codex share?

0 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and GPT-5.3 Codex has 8.