# Mistral Large vs Molmo 2 8b

> Molmo 2 8b is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-large-vs-molmo-2-8b
- Last updated: 2026-10-11
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. Mistral Large scores higher in 1 category and Molmo 2 8b in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Molmo 2 8b leads 25.6 to 15.8.

## Snapshot

| | Mistral Large | Molmo 2 8b |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 31.9 | 39.1 |
| Rank | 263 | 174 |
| Context | 131K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Open | Open |

## Coding

- Mistral Large: 34.3 (#240)
- Molmo 2 8b: —

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |

## Agentic & Tool Use

- Mistral Large: 28.6 (#89)
- Molmo 2 8b: —

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |

## Reasoning

- Mistral Large: 15.8 (#310)
- Molmo 2 8b: 25.6 (#146)

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1287 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |

## Math

- Mistral Large: 18.2 (#291)
- Molmo 2 8b: —

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Mistral Large: 30.1 (#230)
- Molmo 2 8b: —

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| MMLU | 80% | — |

## Multimodal

- Mistral Large: —
- Molmo 2 8b: 30.2 (#112)

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| LMArena Vision | — | 1081 |

## Multilingual

- Mistral Large: 40.0 (#219)
- Molmo 2 8b: 42.7 (#190)

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| LMArena Non-English | 1237 | 1276 |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |

## Instruction Following

- Mistral Large: 67.9 (#191)
- Molmo 2 8b: 67.0 (#201)

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| LMArena Instruction Following | 1249 | 1270 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |

## Long Context

- Mistral Large: 38.3 (#199)
- Molmo 2 8b: —

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| LMArena Longer Query | 1261 | — |

## Writing & Preference

- Mistral Large: 40.7 (#242)
- Molmo 2 8b: 49.4 (#191)

| Benchmark | Mistral Large | Molmo 2 8b |
|---|---|---|
| LMArena Text | 1266 | 1288 |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |

## FAQ

### Is Mistral Large better than Molmo 2 8b?

Molmo 2 8b is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.

### How many benchmarks do Mistral Large and Molmo 2 8b share?

4 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Molmo 2 8b has 5.