Model comparison
Mistral vs phi-3-medium 14B
Mistral and phi-3-medium 14B score almost the same on the Noometry Index (29.9 vs 29.7), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Mistral AI
MicrosoftSummary
- The widest gap is in knowledge, where Mistral leads 16.6 to 9.1.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| Mistral | phi-3-medium 14B | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 29.9 | 29.7 |
| Released | — | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 13 |
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Category by category
Coding phi-3-medium 14B leads
Mistral: 33.8 (#250), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1162 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Mistral: 22.2 (#200), phi-3-medium 14B: —
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| LMArena Hard Prompts | 1149 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.23 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math phi-3-medium 14B leads
Mistral: 22.3 (#278), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Mistral leads
Mistral: 16.6 (#288), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Mistral: 32.8 (#254), phi-3-medium 14B: —
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), phi-3-medium 14B: —
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context Not comparable
Mistral: 35.0 (#245), phi-3-medium 14B: —
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1153 | — |
Writing & Preference Not comparable
Mistral: 37.0 (#260), phi-3-medium 14B: —
| Benchmark | Mistral | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than phi-3-medium 14B?
Mistral and phi-3-medium 14B score almost the same on the Noometry Index (29.9 vs 29.7), so choose on price, context window or the category you care about most.
Is Mistral or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and phi-3-medium 14B share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and phi-3-medium 14B has 13.