Model comparison
Mistral Large vs Phi-1.5
Mistral Large has enough public results to be ranked (#258); Phi-1.5 does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Mistral AI
MicrosoftSummary
- They share 2 benchmarks with published results for both.
Side by side
| Mistral Large | Phi-1.5 | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 31.6 | — |
| Released | 2024-02-26 | 2023-09-11 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 7 |
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Category by category
Coding Not comparable
Mistral Large: 33.8 (#240), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.4 (#83), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Not comparable
Mistral Large: 15.4 (#305), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| Epoch Capabilities Index | 128.52 | 90.82 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| ForecastBench | 57.1 | — |
| HellaSwag | — | 47.6% |
| LiveBench | 48.4% | — |
| WinoGrande | — | 73.4% |
Math Not comparable
Mistral Large: 17.1 (#285), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Mistral Large: 30.0 (#224), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| MMLU | 80% | 37.6% |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| ARC (AI2) Challenge | — | 44.4% |
| BoolQ | — | 75.8% |
| OpenBookQA | — | 37.2% |
Multilingual Not comparable
Mistral Large: 40.1 (#214), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1324 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1187 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 68.1 (#186), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#194), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| LMArena Longer Query | 1262 | — |
Writing & Preference Not comparable
Mistral Large: 40.9 (#237), Phi-1.5: —
| Benchmark | Mistral Large | Phi-1.5 |
|---|---|---|
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Phi-1.5?
Mistral Large has enough public results to be ranked (#258); Phi-1.5 does not yet, so treat this comparison as directional.
How many benchmarks do Mistral Large and Phi-1.5 share?
2 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Phi-1.5 has 7.