# Llama 2-13B vs Mistral Large

> Mistral Large is the stronger model overall, scoring 31.9 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-2-13b-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Llama 2-13B scores higher in 1 category and Mistral Large in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 67.9 to 53.3.
- The biggest single-benchmark swing is DTBench: 42.2% for Llama 2-13B and 65.1% for Mistral Large.

## Snapshot

| | Llama 2-13B | Mistral Large |
|---|---|---|
| Provider | Meta | Mistral AI |
| Noometry Index | 29.6 | 31.9 |
| Rank | 309 | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Open | Open |

## Coding

- Llama 2-13B: 30.9 (#291)
- Mistral Large: 34.3 (#240)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Coding | 1062 | 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

- Llama 2-13B: —
- Mistral Large: 28.6 (#89)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Llama 2-13B: 12.8 (#337)
- Mistral Large: 15.8 (#310)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1257 |
| DTBench | 42.2% | 65.1% |
| Epoch Capabilities Index | 106.17 | 128.52 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | — | 43.5% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| BIG-Bench Hard | 58.2% | — |
| ForecastBench | — | 57.1 |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| LiveBench | — | 48.4% |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |

## Math

- Llama 2-13B: 31.1 (#229)
- Mistral Large: 18.2 (#291)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Math | 1065 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
| GSM8K | 36.9% | — |

## Knowledge

- Llama 2-13B: 28.1 (#249)
- Mistral Large: 30.1 (#230)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Expert | 1030 | 1232 |
| MMLU | 55.6% | 80% |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |

## Multimodal

- Llama 2-13B: —
- Mistral Large: —

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| ScienceQA | 55.8% | — |

## Multilingual

- Llama 2-13B: 26.5 (#279)
- Mistral Large: 40.0 (#219)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Non-English | 1024 | 1237 |
| LMArena Chinese | 1001 | 1240 |
| LMArena French | 1044 | 1325 |
| LMArena German | 1009 | 1254 |
| LMArena Japanese | 894 | 1188 |
| LMArena Korean | 953 | 1202 |
| LMArena Russian | 1055 | 1257 |
| LMArena Spanish | 1087 | 1268 |

## Instruction Following

- Llama 2-13B: 53.3 (#287)
- Mistral Large: 67.9 (#191)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1045 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Llama 2-13B: 32.3 (#269)
- Mistral Large: 38.3 (#199)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1064 | 1261 |

## Writing & Preference

- Llama 2-13B: 29.8 (#289)
- Mistral Large: 40.7 (#242)

| Benchmark | Llama 2-13B | Mistral Large |
|---|---|---|
| LMArena Text | 1084 | 1266 |
| LMArena Creative Writing | 1047 | 1243 |
| LMArena Multi-Turn | 1050 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Llama 2-13B better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.9 to 29.6 on the Noometry Index.

### Is Llama 2-13B or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 34.3 versus 30.9 in the Noometry coding category.

### How many benchmarks do Llama 2-13B and Mistral Large share?

20 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Mistral Large has 51.