# Gemma 3 4B vs GPT-5.4 nano

> GPT-5.4 nano is the stronger model overall, scoring 41.9 to 28.1 on the Noometry Index. Gemma 3 4B costs 9.3× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-gpt-5-4-nano
- Last updated: 2026-10-12
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GPT-5.4 nano in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5.4 nano leads 41.9 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 87.8% for GPT-5.4 nano.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.20 / $1.25 for GPT-5.4 nano.
- GPT-5.4 nano accepts more context: 400K tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 28.1 | 41.9 |
| Rank | 326 | 125 |
| Context | 131K | 400K |
| Input $/M | $0.04 | $0.20 |
| Output $/M | $0.08 | $1.25 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3 4B: 35.9 (#215)
- GPT-5.4 nano: 43.6 (#84)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| LMArena Coding | 1230 | 1405 |
| SciCode | — | 46.9% |
| WeirdML | — | 49.2% |
| ALE-Bench | — | 1,005 |

## Agentic & Tool Use

- Gemma 3 4B: 20.9 (#142)
- GPT-5.4 nano: —

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | — |

## Reasoning

- Gemma 3 4B: 13.2 (#335)
- GPT-5.4 nano: 23.7 (#173)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| Kagi LLM Benchmark | 25.2% | 39.7% |
| Chess Puzzles | 0% | 30% |
| LMArena Hard Prompts | 1253 | 1381 |
| DTBench | 50.9% | 80.3% |
| LMCA | 2.8% | 36.9% |
| Epoch Capabilities Index | 116.02 | 145.81 |
| ARC-AGI-2 | — | 5.7% |
| ARC-AGI-1 | — | 51.5% |
| CritPt | — | 9.3% |
| Mystery Game Puzzles | — | 9% |
| ForecastBench | — | 57.3 |

## Math

- Gemma 3 4B: 16.8 (#292)
- GPT-5.4 nano: 40.9 (#88)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 87.8% |
| LMArena Math | 1239 | 1406 |
| FrontierMath (Tiers 1-3) | — | 44.9% |
| FrontierMath Tier 4 | — | 12.2% |
| ProofBench | — | 5% |
| FrontierMath (Feb 2025 set) | — | 25.9% |
| FrontierMath Tier 4 (v1) | — | 6.3% |

## Knowledge

- Gemma 3 4B: 11.8 (#299)
- GPT-5.4 nano: 41.9 (#103)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| GPQA Diamond | 23.2% | 78.5% |
| Vectara Hallucination Rate | 6.4% | 3.1% |
| LMArena Expert | 1223 | 1396 |
| SimpleQA Verified | — | 11.7% |

## Multimodal

- Gemma 3 4B: —
- GPT-5.4 nano: 36.7 (#78)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| LMArena Vision | — | 1196 |

## Multilingual

- Gemma 3 4B: 42.5 (#194)
- GPT-5.4 nano: 48.6 (#140)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| LMArena Non-English | 1273 | 1359 |
| LMArena German | 1281 | 1367 |
| LMArena Russian | 1294 | 1363 |
| LMArena Chinese | — | 1392 |
| LMArena French | — | 1396 |
| LMArena Japanese | — | 1343 |
| LMArena Korean | — | 1320 |
| LMArena Spanish | — | 1371 |

## Instruction Following

- Gemma 3 4B: 65.2 (#225)
- GPT-5.4 nano: 71.9 (#144)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| LMArena Instruction Following | 1239 | 1362 |

## Long Context

- Gemma 3 4B: 38.7 (#194)
- GPT-5.4 nano: 41.6 (#137)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| LMArena Longer Query | 1273 | 1366 |

## Writing & Preference

- Gemma 3 4B: 42.0 (#239)
- GPT-5.4 nano: 55.7 (#142)

| Benchmark | Gemma 3 4B | GPT-5.4 nano |
|---|---|---|
| LMArena Text | 1291 | 1372 |
| LMArena Creative Writing | 1271 | 1314 |
| LMArena Multi-Turn | 1255 | 1382 |
| EQ-Bench Creative Writing | 1068 | — |

## FAQ

### Is Gemma 3 4B better than GPT-5.4 nano?

GPT-5.4 nano is the stronger model overall, scoring 41.9 to 28.1 on the Noometry Index. Gemma 3 4B costs 9.3× less per token, which makes it the better buy when GPT-5.4 nano's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 4B or GPT-5.4 nano?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GPT-5.4 nano lists at $0.20 and $1.25.

### Is Gemma 3 4B or GPT-5.4 nano better for coding?

GPT-5.4 nano scores higher on coding benchmarks: 43.6 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-5.4 nano does, with 400K tokens against 131K.

### How many benchmarks do Gemma 3 4B and GPT-5.4 nano share?

20 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GPT-5.4 nano has 40.