Model comparison
Mistral Large 3 vs phi-3-medium 14B
Mistral Large 3 is the stronger model overall, scoring 38.6 to 29.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
MicrosoftSummary
- The widest gap is in knowledge, where Mistral Large 3 leads 35.5 to 9.1.
Side by side
| Mistral Large 3 | phi-3-medium 14B | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 38.6 | 29.1 |
| Released | 2025-12-02 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 8K | — |
| Input $ / M tokens | $0.25 | — |
| Output $ / M tokens | $0.75 | — |
| Results tracked | 24 | 13 |
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Category by category
Coding phi-3-medium 14B leads
Mistral Large 3: 34.1 (#230), phi-3-medium 14B: 36.3 (#198)
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena WebDev | 1230 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1447 | — |
| BigCodeBench Complete | — | 48.7% |
Reasoning Not comparable
Mistral Large 3: 14.6 (#314), phi-3-medium 14B: —
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Thematic Generalization | 23% | — |
| LMArena Hard Prompts | 1429 | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| Epoch Capabilities Index | — | 121.18 |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Mistral Large 3 leads
Mistral Large 3: 36.0 (#131), phi-3-medium 14B: 25.2 (#249)
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena Math | 1415 | — |
| MATH Level 5 | — | 17.6% |
Knowledge Mistral Large 3 leads
Mistral Large 3: 35.5 (#173), phi-3-medium 14B: 9.1 (#301)
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | — | 27.6% |
| Vectara Hallucination Rate | 14.5% | — |
| LMArena Expert | 1421 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Mistral Large 3: 37.6 (#65), phi-3-medium 14B: —
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Not comparable
Mistral Large 3: 52.6 (#79), phi-3-medium 14B: —
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1412 | — |
| LMArena Chinese | 1448 | — |
| LMArena French | 1456 | — |
| LMArena German | 1438 | — |
| LMArena Japanese | 1399 | — |
| LMArena Korean | 1384 | — |
| LMArena Russian | 1412 | — |
| LMArena Spanish | 1437 | — |
Instruction Following Not comparable
Mistral Large 3: 74.1 (#104), phi-3-medium 14B: —
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1402 | — |
Long Context Not comparable
Mistral Large 3: 43.1 (#102), phi-3-medium 14B: —
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1413 | — |
Writing & Preference Not comparable
Mistral Large 3: 60.2 (#100), phi-3-medium 14B: —
| Benchmark | Mistral Large 3 | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1385 | — |
| EQ-Bench Creative Writing | 1412 | — |
| LMArena Multi-Turn | 1429 | — |
Frequently asked questions
Is Mistral Large 3 better than phi-3-medium 14B?
Mistral Large 3 is the stronger model overall, scoring 38.6 to 29.1 on the Noometry Index.
Is Mistral Large 3 or phi-3-medium 14B better for coding?
phi-3-medium 14B scores higher on coding benchmarks: 36.3 versus 34.1 in the Noometry coding category.
How many benchmarks do Mistral Large 3 and phi-3-medium 14B share?
0 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and phi-3-medium 14B has 13.