Model comparison
Magistral Medium vs phi-3-medium 14B
Magistral Medium is the stronger model overall, scoring 34.8 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
MicrosoftSummary
- The widest gap is in knowledge, where Magistral Medium leads 32.9 to 9.1.
Side by side
| Magistral Medium | phi-3-medium 14B | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 34.8 | 29.1 |
| Released | 2025-03-17 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 22 | 13 |
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Category by category
Coding Magistral Medium leads
Magistral Medium: 38.6 (#161), phi-3-medium 14B: 36.3 (#198)
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| SciCode | 39.2% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1319 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Magistral Medium: 8.7 (#342), phi-3-medium 14B: —
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
| LMArena Hard Prompts | 1267 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Magistral Medium leads
Magistral Medium: 32.4 (#187), phi-3-medium 14B: 25.2 (#249)
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1249 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Magistral Medium leads
Magistral Medium: 32.9 (#199), phi-3-medium 14B: 9.1 (#301)
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1222 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multilingual Not comparable
Magistral Medium: 39.8 (#219), phi-3-medium 14B: —
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1232 | — |
| LMArena Chinese | 1225 | — |
| LMArena French | 1268 | — |
| LMArena German | 1248 | — |
| LMArena Japanese | 1176 | — |
| LMArena Korean | 1125 | — |
| LMArena Russian | 1224 | — |
| LMArena Spanish | 1269 | — |
Instruction Following Not comparable
Magistral Medium: 66.2 (#207), phi-3-medium 14B: —
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1254 | — |
Long Context Not comparable
Magistral Medium: 39.3 (#178), phi-3-medium 14B: —
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1295 | — |
Writing & Preference Not comparable
Magistral Medium: 46.5 (#214), phi-3-medium 14B: —
| Benchmark | Magistral Medium | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1245 | — |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Magistral Medium better than phi-3-medium 14B?
Magistral Medium is the stronger model overall, scoring 34.8 to 29.1 on the Noometry Index.
Is Magistral Medium or phi-3-medium 14B better for coding?
Magistral Medium scores higher on coding benchmarks: 38.6 versus 36.3 in the Noometry coding category.
How many benchmarks do Magistral Medium and phi-3-medium 14B share?
0 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and phi-3-medium 14B has 13.