# Gemma 2 27B vs Mistral Large

> Mistral Large is the stronger model overall, scoring 31.6 to 29.2 on the Noometry Index. Gemma 2 27B costs 4.6× 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-2-27b-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 34

## Summary

- They share 34 benchmarks with published results for both. Gemma 2 27B scores higher in 1 category and Mistral Large in 7 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.0 to 18.9.
- The biggest single-benchmark swing is MATH Level 5: 27.9% for Gemma 2 27B and 50.3% for Mistral Large.
- Gemma 2 27B is cheaper at $0.65 / $0.65 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 8K.

## Snapshot

| | Gemma 2 27B | Mistral Large |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 29.2 | 31.6 |
| Rank | 302 | 258 |
| Context | 8K | 131K |
| Input $/M | $0.65 | $2 |
| Output $/M | $0.65 | $6 |
| Weights | Open | Open |

## Coding

- Gemma 2 27B: 33.5 (#243)
- Mistral Large: 33.8 (#240)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 42.8% | 30% |
| LiveBench Coding | 36% | 47.1% |
| LMArena Coding | 1211 | 1277 |
| BigCodeBench Complete | 52.5% | 38.3% |
| SciCode | — | 36.2% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Gemma 2 27B: —
- Mistral Large: 28.4 (#83)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Gemma 2 27B: 14.8 (#313)
- Mistral Large: 15.4 (#305)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| LiveBench Reasoning | 28.1% | 43.5% |
| LMArena Hard Prompts | 1199 | 1257 |
| DTBench | 48% | 65.1% |
| LiveBench Data Analysis | 47.9% | 50.1% |
| LMCA | 7.1% | 16.7% |
| Epoch Capabilities Index | 122.06 | 128.52 |
| LiveBench | 38.2% | 48.4% |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| ForecastBench | — | 57.1 |

## Math

- Gemma 2 27B: 10.0 (#306)
- Mistral Large: 17.1 (#285)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.4% | 8.5% |
| LiveBench Math | 26.5% | 42.5% |
| LMArena Math | 1212 | 1262 |
| MATH Level 5 | 27.9% | 50.3% |
| Omni-MATH | — | 28.1% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Gemma 2 27B: 18.9 (#275)
- Mistral Large: 30.0 (#224)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| GPQA Diamond | 36.5% | 51.3% |
| Confabulations | 27.1% | 21.4% |
| LMArena Expert | 1172 | 1232 |
| MMLU | 75.7% | 80% |
| MMLU-Pro | — | 59.9% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |

## Multilingual

- Gemma 2 27B: 38.8 (#221)
- Mistral Large: 40.1 (#214)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| LMArena Non-English | 1217 | 1237 |
| LMArena Chinese | 1221 | 1240 |
| LMArena French | 1246 | 1324 |
| LMArena German | 1209 | 1254 |
| LMArena Japanese | 1175 | 1187 |
| LMArena Korean | 1174 | 1202 |
| LMArena Russian | 1234 | 1257 |
| LMArena Spanish | 1228 | 1268 |

## Instruction Following

- Gemma 2 27B: 60.7 (#244)
- Mistral Large: 68.1 (#186)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 58.1% | 67.9% |
| LMArena Instruction Following | 1206 | 1249 |
| IFEval | — | 87.7% |

## Long Context

- Gemma 2 27B: 37.3 (#213)
- Mistral Large: 38.3 (#194)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1231 | 1262 |

## Writing & Preference

- Gemma 2 27B: 44.4 (#220)
- Mistral Large: 40.9 (#237)

| Benchmark | Gemma 2 27B | Mistral Large |
|---|---|---|
| LMArena Text | 1231 | 1266 |
| LMArena Creative Writing | 1241 | 1243 |
| LMArena Multi-Turn | 1224 | 1260 |
| LiveBench Language | 32.6% | 39.4% |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |

## FAQ

### Is Gemma 2 27B better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.6 to 29.2 on the Noometry Index. Gemma 2 27B costs 4.6× less per token, which makes it the better buy when Mistral Large's lead doesn't matter for your workload.

### Which is cheaper, Gemma 2 27B or Mistral Large?

Gemma 2 27B is cheaper. It lists at $0.65 per million input tokens and $0.65 per million output tokens; Mistral Large lists at $2 and $6.

### Is Gemma 2 27B or Mistral Large better for coding?

They score almost the same on coding (33.5 vs 33.8); test both on your own repository before choosing.

### Which has the bigger context window?

Mistral Large does, with 131K tokens against 8K.

### How many benchmarks do Gemma 2 27B and Mistral Large share?

34 benchmarks have published results for both models. Gemma 2 27B has 34 scored results on Noometry and Mistral Large has 51.