# Gemma 3 4B vs Mistral Large

> Mistral Large is the stronger model overall, scoring 31.6 to 27.9 on the Noometry Index. Gemma 3 4B costs 60× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemma 3 4B scores higher in 4 categories and Mistral Large in 5 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.0 to 11.8.
- The biggest single-benchmark swing is GPQA Diamond: 23.2% for Gemma 3 4B and 51.3% for Mistral Large.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $2 / $6 for Mistral Large.

## Snapshot

| | Gemma 3 4B | Mistral Large |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 27.9 | 31.6 |
| Rank | 320 | 258 |
| Context | 131K | 131K |
| Input $/M | $0.04 | $2 |
| Output $/M | $0.08 | $6 |
| Weights | Open | Open |

## Coding

- Gemma 3 4B: 35.3 (#214)
- Mistral Large: 33.8 (#240)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| LMArena Coding | 1230 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Gemma 3 4B: 20.7 (#134)
- Mistral Large: 28.4 (#83)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 19.6% | 38.4% |

## Reasoning

- Gemma 3 4B: 12.7 (#330)
- Mistral Large: 15.4 (#305)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1253 | 1257 |
| DTBench | 50.9% | 65.1% |
| LMCA | 2.8% | 16.7% |
| Epoch Capabilities Index | 116.02 | 128.52 |
| SimpleBench | — | 22.5% |
| Kagi LLM Benchmark | 25.2% | — |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 43.5% |
| LiveBench Data Analysis | — | 50.1% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Gemma 3 4B: 15.8 (#286)
- Mistral Large: 17.1 (#285)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 8.5% |
| LMArena Math | 1239 | 1262 |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Gemma 3 4B: 11.8 (#294)
- Mistral Large: 30.0 (#224)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| GPQA Diamond | 23.2% | 51.3% |
| Vectara Hallucination Rate | 6.4% | 4.5% |
| LMArena Expert | 1223 | 1232 |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multilingual

- Gemma 3 4B: 42.7 (#189)
- Mistral Large: 40.1 (#214)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| LMArena Non-English | 1273 | 1237 |
| LMArena German | 1281 | 1254 |
| LMArena Russian | 1294 | 1257 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1324 |
| LMArena Japanese | — | 1187 |
| LMArena Korean | — | 1202 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Gemma 3 4B: 65.4 (#219)
- Mistral Large: 68.1 (#186)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1239 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Gemma 3 4B: 38.6 (#189)
- Mistral Large: 38.3 (#194)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1274 | 1262 |

## Writing & Preference

- Gemma 3 4B: 42.2 (#234)
- Mistral Large: 40.9 (#237)

| Benchmark | Gemma 3 4B | Mistral Large |
|---|---|---|
| LMArena Text | 1291 | 1266 |
| LMArena Creative Writing | 1270 | 1243 |
| EQ-Bench Creative Writing | 1068 | 985 |
| LMArena Multi-Turn | 1255 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Gemma 3 4B better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.6 to 27.9 on the Noometry Index. Gemma 3 4B costs 60× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 4B or Mistral Large?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; Mistral Large lists at $2 and $6.

### Is Gemma 3 4B or Mistral Large better for coding?

Gemma 3 4B scores higher on coding benchmarks: 35.3 versus 33.8 in the Noometry coding category.

### Which has the bigger context window?

Both accept 131K tokens.

### How many benchmarks do Gemma 3 4B and Mistral Large share?

20 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and Mistral Large has 51.