Model comparison
Mistral Medium 3.5 vs phi-3-medium 14B
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 29.7 on the Noometry Index.
Last verified . 1 shared benchmarks.
Mistral AI
MicrosoftSummary
- They share 1 benchmark with published results for both. Mistral Medium 3.5 scores higher in 2 categories and phi-3-medium 14B in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Medium 3.5 leads 40.0 to 9.1.
Side by side
| Mistral Medium 3.5 | phi-3-medium 14B | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 40.2 | 29.7 |
| Released | — | 2024-04-23 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 210K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 22 | 13 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Mistral Medium 3.5: 36.0 (#213), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena WebDev | 1264 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1461 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Mistral Medium 3.5: 17.3 (#295), phi-3-medium 14B: —
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 141.35 | 121.23 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| LMArena Hard Prompts | 1436 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Mistral Medium 3.5 leads
Mistral Medium 3.5: 39.1 (#113), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1431 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Mistral Medium 3.5 leads
Mistral Medium 3.5: 40.0 (#126), phi-3-medium 14B: 9.1 (#306)
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| LMArena Expert | 1432 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Mistral Medium 3.5: 38.3 (#65), phi-3-medium 14B: —
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1223 | — |
Multilingual Not comparable
Mistral Medium 3.5: 51.9 (#100), phi-3-medium 14B: —
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1442 | — |
| LMArena French | 1448 | — |
| LMArena German | 1451 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1395 | — |
| LMArena Spanish | 1409 | — |
Instruction Following Not comparable
Mistral Medium 3.5: 74.6 (#90), phi-3-medium 14B: —
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1415 | — |
Long Context Not comparable
Mistral Medium 3.5: 43.2 (#103), phi-3-medium 14B: —
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1415 | — |
Writing & Preference Not comparable
Mistral Medium 3.5: 58.5 (#117), phi-3-medium 14B: —
| Benchmark | Mistral Medium 3.5 | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1421 | — |
| LMArena Creative Writing | 1374 | — |
| EQ-Bench 4 | 993 | — |
| LMArena Multi-Turn | 1423 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than phi-3-medium 14B?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 29.7 on the Noometry Index.
Is Mistral Medium 3.5 or phi-3-medium 14B better for coding?
They score almost the same on coding (36.0 vs 36.8); test both on your own repository before choosing.
How many benchmarks do Mistral Medium 3.5 and phi-3-medium 14B share?
1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and phi-3-medium 14B has 13.