Noometry

Model comparison

Gemma 3 4B vs GPT-5.3 Chat

GPT-5.3 Chat is the stronger model overall, scoring 42.8 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 Chat's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

Gemma 3 4B Google

28.1

Rank #326 Confirmed

GPT-5.3 Chat OpenAI

42.8

Rank #109 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Gemma 3 4B 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 knowledge, where GPT-5.3 Chat leads 38.8 to 11.8.
  • Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • Gemma 3 4B accepts more context: 131K tokens versus 128K.
  • Gemma 3 4B has downloadable open weights; the other is API-only.

Side by side

Gemma 3 4BGPT-5.3 Chat
ProviderGoogleOpenAI
Noometry Index28.142.8
Released2025-03-122026-03-03
WeightsOpenProprietary
Context window131K128K
Max output4K16K
Input $ / M tokens$0.04$1.75
Output $ / M tokens$0.08$14
Results tracked2218

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Category by category

Coding GPT-5.3 Chat leads

Gemma 3 4B: 35.9 (#215), GPT-5.3 Chat: 41.4 (#124)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Coding12301408

Agentic & Tool Use Not comparable

Gemma 3 4B: 20.9 (#142), GPT-5.3 Chat: —

BenchmarkGemma 3 4BGPT-5.3 Chat
Berkeley Function Calling Leaderboard19.6%—

Reasoning GPT-5.3 Chat leads

Gemma 3 4B: 13.2 (#335), GPT-5.3 Chat: 28.5 (#102)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Hard Prompts12531399
Kagi LLM Benchmark25.2%—
Chess Puzzles0%—
DTBench50.9%—
LMCA2.8%—
Epoch Capabilities Index116.02—

Math GPT-5.3 Chat leads

Gemma 3 4B: 16.8 (#292), GPT-5.3 Chat: 38.2 (#142)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Math12391389
OTIS Mock AIME 2024-20257.5%—

Knowledge GPT-5.3 Chat leads

Gemma 3 4B: 11.8 (#299), GPT-5.3 Chat: 38.8 (#140)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Expert12231397
GPQA Diamond23.2%—
Vectara Hallucination Rate6.4%—

Multilingual GPT-5.3 Chat leads

Gemma 3 4B: 42.5 (#194), GPT-5.3 Chat: 50.3 (#124)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Non-English12731382
LMArena German12811384
LMArena Russian12941400
LMArena Chinese—1432
LMArena French—1397
LMArena Japanese—1352
LMArena Korean—1346
LMArena Spanish—1371

Instruction Following GPT-5.3 Chat leads

Gemma 3 4B: 65.2 (#225), GPT-5.3 Chat: 72.8 (#129)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Instruction Following12391378

Long Context GPT-5.3 Chat leads

Gemma 3 4B: 38.7 (#194), GPT-5.3 Chat: 42.6 (#120)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Longer Query12731396

Writing & Preference GPT-5.3 Chat leads

Gemma 3 4B: 42.0 (#239), GPT-5.3 Chat: 63.1 (#68)

BenchmarkGemma 3 4BGPT-5.3 Chat
LMArena Text12911389
LMArena Creative Writing12711355
EQ-Bench Creative Writing10681690
LMArena Multi-Turn12551412

Frequently asked questions

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

GPT-5.3 Chat is the stronger model overall, scoring 42.8 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 Chat's lead doesn't matter for your workload.

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

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

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

GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 128K.

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

13 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GPT-5.3 Chat has 18.

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