Model comparison
Mistral Small 3.1 vs phi-3-medium 14B
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AI
MicrosoftSummary
- They share 2 benchmarks with published results for both. Mistral Small 3.1 scores higher in 2 categories and phi-3-medium 14B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small 3.1 leads 22.6 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 41.9% for Mistral Small 3.1 and 27.6% for phi-3-medium 14B.
Side by side
| Mistral Small 3.1 | phi-3-medium 14B | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 31.7 | 29.7 |
| Released | 2025-03-17 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 102K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $0.56 | — |
| Results tracked | 28 | 13 |
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Category by category
Coding Mistral Small 3.1 leads
Mistral Small 3.1: 38.3 (#179), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Mistral Small 3.1: 19.7 (#254), phi-3-medium 14B: —
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 127.48 | 121.23 |
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | 1278 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math phi-3-medium 14B leads
Mistral Small 3.1: 14.7 (#301), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.9% | — |
| Omni-MATH | 24.8% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Mistral Small 3.1 leads
Mistral Small 3.1: 22.6 (#271), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 41.9% | 27.6% |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
| LMArena Expert | 1257 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Mistral Small 3.1: 33.2 (#99), phi-3-medium 14B: —
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1136 | — |
Multilingual Not comparable
Mistral Small 3.1: 41.2 (#209), phi-3-medium 14B: —
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1255 | — |
| LMArena Chinese | 1253 | — |
| LMArena French | 1273 | — |
| LMArena German | 1266 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1206 | — |
| LMArena Russian | 1263 | — |
| LMArena Spanish | 1283 | — |
Instruction Following Not comparable
Mistral Small 3.1: 63.6 (#230), phi-3-medium 14B: —
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| IFEval | 75% | — |
| LMArena Instruction Following | 1264 | — |
Long Context Not comparable
Mistral Small 3.1: 39.5 (#178), phi-3-medium 14B: —
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1299 | — |
Writing & Preference Not comparable
Mistral Small 3.1: 37.0 (#259), phi-3-medium 14B: —
| Benchmark | Mistral Small 3.1 | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1277 | — |
| LMArena Creative Writing | 1253 | — |
| EQ-Bench Creative Writing | 761 | — |
| WildBench | 78.8% | — |
| LMArena Multi-Turn | 1270 | — |
Frequently asked questions
Is Mistral Small 3.1 better than phi-3-medium 14B?
Mistral Small 3.1 is the stronger model overall, scoring 31.7 to 29.7 on the Noometry Index.
Is Mistral Small 3.1 or phi-3-medium 14B better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 36.8 in the Noometry coding category.
How many benchmarks do Mistral Small 3.1 and phi-3-medium 14B share?
2 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and phi-3-medium 14B has 13.