# Mistral Large vs Qwen1.5-110B

> Qwen1.5-110B is the stronger model overall, scoring 33.6 to 31.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-large-vs-qwen1-5-110b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Mistral Large scores higher in 5 categories and Qwen1.5-110B in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen1.5-110B leads 31.1 to 17.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 38.3% for Mistral Large and 44.4% for Qwen1.5-110B.

## Snapshot

| | Mistral Large | Qwen1.5-110B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.6 | 33.6 |
| Rank | 258 | 231 |
| Context | 131K | — |
| Input $/M | $2 | — |
| Output $/M | $6 | — |
| Weights | Open | Open |

## Coding

- Mistral Large: 33.8 (#240)
- Qwen1.5-110B: 32.4 (#260)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| BigCodeBench Instruct | 30% | 35% |
| LMArena Coding | 1277 | 1184 |
| BigCodeBench Complete | 38.3% | 44.4% |
| SciCode | 36.2% | — |
| LiveBench Coding | 47.1% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |

## Agentic & Tool Use

- Mistral Large: 28.4 (#83)
- Qwen1.5-110B: —

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |

## Reasoning

- Mistral Large: 15.4 (#305)
- Qwen1.5-110B: 21.7 (#192)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1168 |
| ForecastBench | 57.1 | 57.7 |
| 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 | — |
| LiveBench | 48.4% | — |

## Math

- Mistral Large: 17.1 (#285)
- Qwen1.5-110B: 31.1 (#199)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Math | 1262 | 1185 |
| 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% | — |

## Knowledge

- Mistral Large: 30.0 (#224)
- Qwen1.5-110B: 30.7 (#217)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Expert | 1232 | 1144 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |

## Multilingual

- Mistral Large: 40.1 (#214)
- Qwen1.5-110B: 33.8 (#245)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Non-English | 1237 | 1142 |
| LMArena Chinese | 1240 | 1206 |
| LMArena French | 1324 | 1150 |
| LMArena German | 1254 | 1123 |
| LMArena Japanese | 1187 | 1074 |
| LMArena Korean | 1202 | 1044 |
| LMArena Russian | 1257 | 1118 |
| LMArena Spanish | 1268 | 1141 |

## Instruction Following

- Mistral Large: 68.1 (#186)
- Qwen1.5-110B: 60.6 (#247)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Instruction Following | 1249 | 1158 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |

## Long Context

- Mistral Large: 38.3 (#194)
- Qwen1.5-110B: 35.0 (#237)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Longer Query | 1262 | 1157 |

## Writing & Preference

- Mistral Large: 40.9 (#237)
- Qwen1.5-110B: 38.1 (#250)

| Benchmark | Mistral Large | Qwen1.5-110B |
|---|---|---|
| LMArena Text | 1266 | 1175 |
| LMArena Creative Writing | 1243 | 1148 |
| LMArena Multi-Turn | 1260 | 1160 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |

## FAQ

### Is Mistral Large better than Qwen1.5-110B?

Qwen1.5-110B is the stronger model overall, scoring 33.6 to 31.6 on the Noometry Index.

### Is Mistral Large or Qwen1.5-110B better for coding?

Mistral Large scores higher on coding benchmarks: 33.8 versus 32.4 in the Noometry coding category.

### How many benchmarks do Mistral Large and Qwen1.5-110B share?

20 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen1.5-110B has 20.