Model comparison
Mistral Large vs Qwen2.5 Plus 1127
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.1 to 31.6 on the Noometry Index.
Last verified . 14 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Mistral Large scores higher in 1 category and Qwen2.5 Plus 1127 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen2.5 Plus 1127 leads 33.5 to 17.1.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Mistral Large | Qwen2.5 Plus 1127 | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.6 | 38.1 |
| Released | 2024-02-26 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen2.5 Plus 1127 leads
Mistral Large: 33.8 (#240), Qwen2.5 Plus 1127: 37.9 (#171)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Coding | 1277 | 1314 |
| 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 Not comparable
Mistral Large: 28.4 (#83), Qwen2.5 Plus 1127: —
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Qwen2.5 Plus 1127 leads
Mistral Large: 15.4 (#305), Qwen2.5 Plus 1127: 24.8 (#139)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1299 |
| 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 Qwen2.5 Plus 1127 leads
Mistral Large: 17.1 (#285), Qwen2.5 Plus 1127: 33.5 (#175)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Math | 1262 | 1298 |
| 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 Qwen2.5 Plus 1127 leads
Mistral Large: 30.0 (#224), Qwen2.5 Plus 1127: 34.9 (#179)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Expert | 1232 | 1289 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |
Multilingual Qwen2.5 Plus 1127 leads
Mistral Large: 40.1 (#214), Qwen2.5 Plus 1127: 42.1 (#196)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Non-English | 1237 | 1265 |
| LMArena Chinese | 1240 | 1314 |
| LMArena German | 1254 | 1231 |
| LMArena Japanese | 1187 | 1207 |
| LMArena Russian | 1257 | 1271 |
| LMArena French | 1324 | — |
| LMArena Korean | 1202 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Too close to call
Mistral Large: 68.1 (#186), Qwen2.5 Plus 1127: 67.4 (#194)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Instruction Following | 1249 | 1275 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Too close to call
Mistral Large: 38.3 (#194), Qwen2.5 Plus 1127: 39.2 (#180)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Longer Query | 1262 | 1292 |
Writing & Preference Qwen2.5 Plus 1127 leads
Mistral Large: 40.9 (#237), Qwen2.5 Plus 1127: 49.5 (#186)
| Benchmark | Mistral Large | Qwen2.5 Plus 1127 |
|---|---|---|
| LMArena Text | 1266 | 1299 |
| LMArena Creative Writing | 1243 | 1262 |
| LMArena Multi-Turn | 1260 | 1299 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Qwen2.5 Plus 1127?
Qwen2.5 Plus 1127 is the stronger model overall, scoring 38.1 to 31.6 on the Noometry Index.
Is Mistral Large or Qwen2.5 Plus 1127 better for coding?
Qwen2.5 Plus 1127 scores higher on coding benchmarks: 37.9 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral Large and Qwen2.5 Plus 1127 share?
14 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen2.5 Plus 1127 has 14.