# Gemma 3 4B vs GPT-5 Mini

> GPT-5 Mini is the stronger model overall, scoring 41.7 to 27.9 on the Noometry Index. Gemma 3 4B costs 14× less per token, which makes it the better buy when GPT-5 Mini's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-gpt-5-mini
- Last updated: 2026-10-10
- Shared benchmarks: 22

## Summary

- They share 22 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GPT-5 Mini in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Mini leads 45.5 to 11.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 86.7% for GPT-5 Mini.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.25 / $2 for GPT-5 Mini.
- GPT-5 Mini 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 Mini |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 27.9 | 41.7 |
| Rank | 320 | 115 |
| Context | 131K | 400K |
| Input $/M | $0.04 | $0.25 |
| Output $/M | $0.08 | $2 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3 4B: 35.3 (#214)
- GPT-5 Mini: 40.0 (#134)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| LMArena Coding | 1230 | 1406 |
| SWE-bench Verified | — | 64.7% |
| SWE-bench Verified (bash only) | — | 59.8% |
| SWE-bench Multilingual | — | 39.7% |
| SciCode | — | 39.2% |
| WeirdML | — | 52.7% |
| ALE-Bench | — | 799.77 |
| AlgoTune | — | 1.38 |

## Agentic & Tool Use

- Gemma 3 4B: 20.7 (#134)
- GPT-5 Mini: 31.0 (#64)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | 55.5% |
| Terminal-Bench | — | 34.8% |
| Vending-Bench 2 | — | -31.18 |

## Reasoning

- Gemma 3 4B: 12.7 (#330)
- GPT-5 Mini: 24.1 (#153)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| Kagi LLM Benchmark | 25.2% | 70.3% |
| Chess Puzzles | 0% | 30% |
| LMArena Hard Prompts | 1253 | 1380 |
| DTBench | 50.9% | 80.5% |
| LMCA | 2.8% | 34.2% |
| Epoch Capabilities Index | 116.02 | 145.51 |
| ARC-AGI-2 | — | 4.4% |
| ARC-AGI-1 | — | 54.3% |
| CritPt | — | 0% |
| EnigmaEval | — | 8.2% |
| Mystery Game Puzzles | — | 10% |
| ForecastBench | — | 61 |

## Math

- Gemma 3 4B: 15.8 (#286)
- GPT-5 Mini: 46.3 (#59)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 86.7% |
| LMArena Math | 1239 | 1377 |
| FrontierMath (Tiers 1-3) | — | 46.7% |
| FrontierMath Tier 4 | — | 12.2% |
| ProofBench | — | 9% |
| Omni-MATH | — | 72.2% |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 27.2% |
| FrontierMath Tier 4 (v1) | — | 6.3% |

## Knowledge

- Gemma 3 4B: 11.8 (#294)
- GPT-5 Mini: 45.5 (#80)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| GPQA Diamond | 23.2% | 75% |
| Vectara Hallucination Rate | 6.4% | 12.9% |
| LMArena Expert | 1223 | 1377 |
| Humanity's Last Exam | — | 19.4% |
| SimpleQA Verified | — | 21.6% |
| MMLU-Pro | — | 83.5% |
| Confabulations | — | 13.3% |
| GPQA (HELM) | — | 75.6% |

## Multimodal

- Gemma 3 4B: —
- GPT-5 Mini: 35.0 (#80)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| LMArena Vision | — | 1202 |
| VPCT | — | 40.2% |

## Multilingual

- Gemma 3 4B: 42.7 (#189)
- GPT-5 Mini: 49.1 (#131)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| LMArena Non-English | 1273 | 1363 |
| LMArena German | 1281 | 1366 |
| LMArena Russian | 1294 | 1362 |
| LMArena Chinese | — | 1387 |
| LMArena French | — | 1385 |
| LMArena Japanese | — | 1342 |
| LMArena Korean | — | 1306 |
| LMArena Spanish | — | 1355 |

## Instruction Following

- Gemma 3 4B: 65.4 (#219)
- GPT-5 Mini: 76.4 (#43)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| LMArena Instruction Following | 1239 | 1357 |
| IFEval | — | 92.7% |

## Long Context

- Gemma 3 4B: 38.6 (#189)
- GPT-5 Mini: 41.9 (#127)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| LMArena Longer Query | 1274 | 1355 |
| Fiction.LiveBench | — | 69.4% |

## Writing & Preference

- Gemma 3 4B: 42.2 (#234)
- GPT-5 Mini: 55.4 (#143)

| Benchmark | Gemma 3 4B | GPT-5 Mini |
|---|---|---|
| LMArena Text | 1291 | 1373 |
| LMArena Creative Writing | 1270 | 1325 |
| EQ-Bench Creative Writing | 1068 | 1313 |
| LMArena Multi-Turn | 1255 | 1363 |
| Short-Story Creative Writing | — | 83.1% |
| WildBench | — | 85.5% |

## FAQ

### Is Gemma 3 4B better than GPT-5 Mini?

GPT-5 Mini is the stronger model overall, scoring 41.7 to 27.9 on the Noometry Index. Gemma 3 4B costs 14× less per token, which makes it the better buy when GPT-5 Mini's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 4B or GPT-5 Mini?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GPT-5 Mini lists at $0.25 and $2.

### Is Gemma 3 4B or GPT-5 Mini better for coding?

GPT-5 Mini scores higher on coding benchmarks: 40.0 versus 35.3 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Mini does, with 400K tokens against 131K.

### How many benchmarks do Gemma 3 4B and GPT-5 Mini share?

22 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GPT-5 Mini has 60.