Model comparison
Llama 3.2 90B vs Phi-1.5
Llama 3.2 90B has enough public results to be ranked (#326); Phi-1.5 does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
Meta
MicrosoftSummary
- They share 2 benchmarks with published results for both.
Side by side
| Llama 3.2 90B | Phi-1.5 | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 27.1 | — |
| Released | 2024-09-24 | 2023-09-11 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 9 | 7 |
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Category by category
Agentic & Tool Use Not comparable
Llama 3.2 90B: 29.7 (#73), Phi-1.5: —
| Benchmark | Llama 3.2 90B | Phi-1.5 |
|---|---|---|
| BALROG | 27.3% | — |
Reasoning Not comparable
Llama 3.2 90B: 20.9 (#207), Phi-1.5: —
| Benchmark | Llama 3.2 90B | Phi-1.5 |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 90.82 |
| EnigmaEval | 0.4% | — |
| HellaSwag | — | 47.6% |
| WinoGrande | — | 73.4% |
Math Not comparable
Llama 3.2 90B: 10.4 (#302), Phi-1.5: —
| Benchmark | Llama 3.2 90B | Phi-1.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| MATH Level 5 | 39.4% | — |
Knowledge Not comparable
Llama 3.2 90B: 21.7 (#269), Phi-1.5: —
| Benchmark | Llama 3.2 90B | Phi-1.5 |
|---|---|---|
| MMLU | 80.3% | 37.6% |
| GPQA Diamond | 41% | — |
| ARC (AI2) Challenge | — | 44.4% |
| BoolQ | — | 75.8% |
| OpenBookQA | — | 37.2% |
Multimodal Not comparable
Llama 3.2 90B: 24.9 (#119), Phi-1.5: —
| Benchmark | Llama 3.2 90B | Phi-1.5 |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Frequently asked questions
Is Llama 3.2 90B better than Phi-1.5?
Llama 3.2 90B has enough public results to be ranked (#326); Phi-1.5 does not yet, so treat this comparison as directional.
How many benchmarks do Llama 3.2 90B and Phi-1.5 share?
2 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Phi-1.5 has 7.