Model comparison
Mistral Large vs phi-3-medium 14B
Mistral Large is the stronger model overall, scoring 31.9 to 29.7 on the Noometry Index.
Last verified . 6 shared benchmarks.
Mistral AI
MicrosoftSummary
- They share 6 benchmarks with published results for both. Mistral Large scores higher in 1 category and phi-3-medium 14B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.1 to 9.1.
- The biggest single-benchmark swing is MATH Level 5: 50.3% for Mistral Large and 17.6% for phi-3-medium 14B.
Side by side
| Mistral Large | phi-3-medium 14B | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 31.9 | 29.7 |
| Released | 2024-02-26 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 13 |
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Category by category
Coding phi-3-medium 14B leads
Mistral Large: 34.3 (#240), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | 30% | 37.6% |
| BigCodeBench Complete | 38.3% | 48.7% |
| SciCode | 36.2% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), phi-3-medium 14B: —
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Not comparable
Mistral Large: 15.8 (#310), phi-3-medium 14B: —
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 128.52 | 121.23 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 57.1 | — |
| HellaSwag | — | 82.4% |
| LiveBench | 48.4% | — |
| WinoGrande | — | 81.5% |
Math phi-3-medium 14B leads
Mistral Large: 18.2 (#291), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 50.3% | 17.6% |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Mistral Large leads
Mistral Large: 30.1 (#230), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 51.3% | 27.6% |
| MMLU | 80% | 78% |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| ARC (AI2) Challenge | — | 91.6% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Mistral Large: 40.0 (#219), phi-3-medium 14B: —
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), phi-3-medium 14B: —
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), phi-3-medium 14B: —
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Not comparable
Mistral Large: 40.7 (#242), phi-3-medium 14B: —
| Benchmark | Mistral Large | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1266 | — |
| 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% | — |
Frequently asked questions
Is Mistral Large better than phi-3-medium 14B?
Mistral Large is the stronger model overall, scoring 31.9 to 29.7 on the Noometry Index.
Is Mistral Large or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 34.3 in the Noometry coding category.
How many benchmarks do Mistral Large and phi-3-medium 14B share?
6 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and phi-3-medium 14B has 13.