# Gemma 3 4B vs GPT-5.3 Chat

> GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 27.9 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.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-gpt-5-3-chat
- Last updated: 2026-10-10
- Shared benchmarks: 13

## 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 38.2 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.

## Snapshot

| | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 27.9 | 42.1 |
| Rank | 320 | 109 |
| Context | 131K | 128K |
| Input $/M | $0.04 | $1.75 |
| Output $/M | $0.08 | $14 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3 4B: 35.3 (#214)
- GPT-5.3 Chat: 40.8 (#124)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1230 | 1408 |

## Agentic & Tool Use

- Gemma 3 4B: 20.7 (#134)
- GPT-5.3 Chat: —

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |

## Reasoning

- Gemma 3 4B: 12.7 (#330)
- GPT-5.3 Chat: 27.3 (#105)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1399 |
| Kagi LLM Benchmark | 25.2% | — |
| Chess Puzzles | 0% | — |
| DTBench | 50.9% | — |
| LMCA | 2.8% | — |
| Epoch Capabilities Index | 116.02 | — |

## Math

- Gemma 3 4B: 15.8 (#286)
- GPT-5.3 Chat: 35.4 (#146)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1239 | 1389 |
| OTIS Mock AIME 2024-2025 | 7.5% | — |

## Knowledge

- Gemma 3 4B: 11.8 (#294)
- GPT-5.3 Chat: 38.2 (#137)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1223 | 1397 |
| GPQA Diamond | 23.2% | — |
| Vectara Hallucination Rate | 6.4% | — |

## Multilingual

- Gemma 3 4B: 42.7 (#189)
- GPT-5.3 Chat: 50.5 (#119)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1273 | 1383 |
| LMArena German | 1281 | 1384 |
| LMArena Russian | 1294 | 1400 |
| LMArena Chinese | — | 1433 |
| LMArena French | — | 1398 |
| LMArena Japanese | — | 1351 |
| LMArena Korean | — | 1347 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- Gemma 3 4B: 65.4 (#219)
- GPT-5.3 Chat: 73.0 (#124)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1239 | 1378 |

## Long Context

- Gemma 3 4B: 38.6 (#189)
- GPT-5.3 Chat: 42.6 (#115)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1274 | 1396 |

## Writing & Preference

- Gemma 3 4B: 42.2 (#234)
- GPT-5.3 Chat: 63.3 (#65)

| Benchmark | Gemma 3 4B | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1291 | 1389 |
| LMArena Creative Writing | 1270 | 1356 |
| EQ-Bench Creative Writing | 1068 | 1690 |
| LMArena Multi-Turn | 1255 | 1413 |

## FAQ

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

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 27.9 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: 40.8 versus 35.3 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.