Model comparison
Mistral Small 3.1 vs Phi-3.5-mini
Mistral Small 3.1 has enough public results to be ranked (#269); Phi-3.5-mini does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where Mistral Small 3.1 leads 38.3 to 34.6.
Side by side
| Mistral Small 3.1 | Phi-3.5-mini | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 31.7 | 36.9 |
| Released | 2025-03-17 | 2024-08-16 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 102K | — |
| Input $ / M tokens | $0.35 | — |
| Output $ / M tokens | $0.56 | — |
| Results tracked | 28 | 5 |
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Category by category
Coding Mistral Small 3.1 leads
Mistral Small 3.1: 38.3 (#179), Phi-3.5-mini: 34.6 (#232)
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | 1309 | — |
| BigCodeBench Complete | — | 38.5% |
Reasoning Not comparable
Mistral Small 3.1: 19.7 (#254), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| Chess Puzzles | 1% | — |
| LMArena Hard Prompts | 1278 | — |
| Epoch Capabilities Index | 127.48 | — |
| PIQA | — | 81% |
Math Not comparable
Mistral Small 3.1: 14.7 (#301), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.9% | — |
| Omni-MATH | 24.8% | — |
| LMArena Math | 1262 | — |
| GSM8K | — | 86.2% |
Knowledge Not comparable
Mistral Small 3.1: 22.6 (#271), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| GPQA Diamond | 41.9% | — |
| MMLU-Pro | 61% | — |
| GPQA (HELM) | 39.2% | — |
| LMArena Expert | 1257 | — |
| BoolQ | — | 78% |
Multimodal Not comparable
Mistral Small 3.1: 33.2 (#99), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| LMArena Vision | 1136 | — |
Multilingual Not comparable
Mistral Small 3.1: 41.2 (#209), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| 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-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| IFEval | 75% | — |
| LMArena Instruction Following | 1264 | — |
Long Context Not comparable
Mistral Small 3.1: 39.5 (#178), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| LMArena Longer Query | 1299 | — |
Writing & Preference Not comparable
Mistral Small 3.1: 37.0 (#259), Phi-3.5-mini: —
| Benchmark | Mistral Small 3.1 | Phi-3.5-mini |
|---|---|---|
| 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-3.5-mini?
Mistral Small 3.1 has enough public results to be ranked (#269); Phi-3.5-mini does not yet, so treat this comparison as directional.
Is Mistral Small 3.1 or Phi-3.5-mini better for coding?
Mistral Small 3.1 scores higher on coding benchmarks: 38.3 versus 34.6 in the Noometry coding category.
How many benchmarks do Mistral Small 3.1 and Phi-3.5-mini share?
0 benchmarks have published results for both models. Mistral Small 3.1 has 28 scored results on Noometry and Phi-3.5-mini has 5.