Model comparison

Gemma 3n E4b IT vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.1 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 Chat's lead doesn't matter for your workload.

Last verified October 10, 2026. 17 shared benchmarks.

Gemma 3n E4b IT

Google

36.7

Rank #203 Confirmed

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Summary

They share 17 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 50.3.
Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
GPT-5.3 Chat accepts more context: 128K 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 Chat specifications
	Gemma 3n E4b IT	GPT-5.3 Chat
Provider	Google	OpenAI
Noometry Index	36.7	42.1
Released	2025-05-20	2026-03-03
Weights	Open	Proprietary
Context window	33K	128K
Max output	33K	16K
Input $ / M tokens	$0.06	$1.75
Output $ / M tokens	$0.12	$14
Results tracked	18	18

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Category by category

Coding GPT-5.3 Chat leads

Gemma 3n E4b IT: 36.4 (#193), GPT-5.3 Chat: 40.8 (#124)

Coding benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Coding	1269	1408

Reasoning GPT-5.3 Chat leads

Gemma 3n E4b IT: 19.2 (#239), GPT-5.3 Chat: 27.3 (#105)

Reasoning benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Hard Prompts	1284	1399
Kagi LLM Benchmark	31.5%	—

Math GPT-5.3 Chat leads

Gemma 3n E4b IT: 32.5 (#186), GPT-5.3 Chat: 35.4 (#146)

Math benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Math	1251	1389

Knowledge GPT-5.3 Chat leads

Gemma 3n E4b IT: 33.6 (#193), GPT-5.3 Chat: 38.2 (#137)

Knowledge benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Expert	1245	1397

Multilingual GPT-5.3 Chat leads

Gemma 3n E4b IT: 43.5 (#179), GPT-5.3 Chat: 50.5 (#119)

Multilingual benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Non-English	1285	1383
LMArena Chinese	1310	1433
LMArena French	1330	1398
LMArena German	1312	1384
LMArena Japanese	1274	1351
LMArena Korean	1259	1347
LMArena Russian	1288	1400
LMArena Spanish	1305	1371

Instruction Following GPT-5.3 Chat leads

Gemma 3n E4b IT: 66.3 (#205), GPT-5.3 Chat: 73.0 (#124)

Instruction Following benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Instruction Following	1255	1378

Long Context GPT-5.3 Chat leads

Gemma 3n E4b IT: 38.8 (#185), GPT-5.3 Chat: 42.6 (#115)

Long Context benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Longer Query	1277	1396

Writing & Preference GPT-5.3 Chat leads

Gemma 3n E4b IT: 50.3 (#181), GPT-5.3 Chat: 63.3 (#65)

Writing & Preference benchmarks
Benchmark	Gemma 3n E4b IT	GPT-5.3 Chat
LMArena Text	1306	1389
LMArena Creative Writing	1287	1356
LMArena Multi-Turn	1276	1413
EQ-Bench Creative Writing	—	1690

Frequently asked questions

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

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

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 Chat lists at $1.75 and $14.

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

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 36.4 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 33K.

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

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