Model comparison
Mistral Large vs Qwen-14B
Mistral Large and Qwen-14B score almost the same on the Noometry Index (31.6 vs 30.8), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Mistral Large scores higher in 5 categories and Qwen-14B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 68.1 to 52.6.
Side by side
| Mistral Large | Qwen-14B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.6 | 30.8 |
| Released | 2024-02-26 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Mistral Large leads
Mistral Large: 33.8 (#240), Qwen-14B: 30.6 (#283)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Coding | 1277 | 1072 |
| 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), Qwen-14B: —
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Qwen-14B leads
Mistral Large: 15.4 (#305), Qwen-14B: 18.7 (#255)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1027 |
| Epoch Capabilities Index | 128.52 | 112.8 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| BIG-Bench Hard | — | 55% |
| ForecastBench | 57.1 | — |
| LAMBADA | — | 71.1% |
| LiveBench | 48.4% | — |
| PIQA | — | 79.9% |
Math Qwen-14B leads
Mistral Large: 17.1 (#285), Qwen-14B: 28.7 (#224)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Math | 1262 | 1068 |
| 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 | — | 61.3% |
Knowledge Not comparable
Mistral Large: 30.0 (#224), Qwen-14B: —
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| MMLU | 80% | 66.3% |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
Multilingual Mistral Large leads
Mistral Large: 40.1 (#214), Qwen-14B: 27.7 (#270)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1237 | 1042 |
| LMArena Chinese | 1240 | 1077 |
| LMArena French | 1324 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1187 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Mistral Large leads
Mistral Large: 68.1 (#186), Qwen-14B: 52.6 (#284)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1249 | 1031 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Mistral Large leads
Mistral Large: 38.3 (#194), Qwen-14B: 31.3 (#276)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1262 | 1029 |
Writing & Preference Mistral Large leads
Mistral Large: 40.9 (#237), Qwen-14B: 27.8 (#294)
| Benchmark | Mistral Large | Qwen-14B |
|---|---|---|
| LMArena Text | 1266 | 1051 |
| LMArena Creative Writing | 1243 | 1028 |
| LMArena Multi-Turn | 1260 | 1022 |
| 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 Qwen-14B?
Mistral Large and Qwen-14B score almost the same on the Noometry Index (31.6 vs 30.8), so choose on price, context window or the category you care about most.
Is Mistral Large or Qwen-14B better for coding?
Mistral Large scores higher on coding benchmarks: 33.8 versus 30.6 in the Noometry coding category.
How many benchmarks do Mistral Large and Qwen-14B share?
12 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen-14B has 18.