# Llama 3-8B vs Phi-1.5

> Llama 3-8B has enough public results to be ranked (#338); Phi-1.5 does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/llama-3-8b-vs-phi-1-5
- Last updated: 2026-10-10
- Shared benchmarks: 5

## Summary

- They share 5 benchmarks with published results for both.

## Snapshot

| | Llama 3-8B | Phi-1.5 |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 25.3 | — |
| Rank | 338 | — |
| Context | 8K | — |
| Input $/M | $0.14 | — |
| Output $/M | $0.14 | — |
| Weights | Open | Open |

## Coding

- Llama 3-8B: 30.5 (#285)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| BigCodeBench Instruct | 31.9% | — |
| LMArena Coding | 1152 | — |
| BigCodeBench Complete | 36.9% | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |

## Reasoning

- Llama 3-8B: 13.8 (#321)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| Epoch Capabilities Index | 116.33 | 90.82 |
| WinoGrande | 75.7% | 73.4% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1133 | — |
| DTBench | 43.9% | — |
| Adversarial NLI | 57.3% | — |
| ForecastBench | 58.6 | — |
| HellaSwag | — | 47.6% |

## Math

- Llama 3-8B: 8.3 (#317)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | 1151 | — |
| MATH Level 5 | 6.1% | — |

## Knowledge

- Llama 3-8B: 7.8 (#303)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| ARC (AI2) Challenge | 82.8% | 44.4% |
| MMLU | 68.8% | 37.6% |
| OpenBookQA | 82.6% | 37.2% |
| GPQA Diamond | 26.1% | — |
| LMArena Expert | 1113 | — |
| BoolQ | — | 75.8% |
| TriviaQA | 67.7% | — |

## Multilingual

- Llama 3-8B: 31.0 (#256)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1158 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1003 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1172 | — |

## Instruction Following

- Llama 3-8B: 58.7 (#255)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| LMArena Instruction Following | 1127 | — |

## Long Context

- Llama 3-8B: 34.2 (#246)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| LMArena Longer Query | 1128 | — |

## Writing & Preference

- Llama 3-8B: 37.7 (#251)
- Phi-1.5: —

| Benchmark | Llama 3-8B | Phi-1.5 |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| LMArena Multi-Turn | 1152 | — |

## FAQ

### Is Llama 3-8B better than Phi-1.5?

Llama 3-8B has enough public results to be ranked (#338); Phi-1.5 does not yet, so treat this comparison as directional.

### How many benchmarks do Llama 3-8B and Phi-1.5 share?

5 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and Phi-1.5 has 7.