# Llama 3-8B vs phi-3-medium 14B

> phi-3-medium 14B is the stronger model overall, scoring 29.7 to 25.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-8b-vs-phi-3-medium-14b
- Last updated: 2026-10-10
- Shared benchmarks: 11

## Summary

- They share 11 benchmarks with published results for both. Llama 3-8B scores higher in 0 categories and phi-3-medium 14B in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where phi-3-medium 14B leads 27.3 to 8.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 36.9% for Llama 3-8B and 48.7% for phi-3-medium 14B.

## Snapshot

| | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 25.5 | 29.7 |
| Rank | 344 | 306 |
| Context | — | — |
| Input $/M | — | — |
| Output $/M | — | — |
| Weights | Open | Open |

## Coding

- Llama 3-8B: 31.0 (#289)
- phi-3-medium 14B: 36.8 (#201)

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| BigCodeBench Instruct | 31.9% | 37.6% |
| BigCodeBench Complete | 36.9% | 48.7% |
| LMArena Coding | 1152 | — |
| HumanEval+ | 56.7% | — |
| MBPP+ | 54.8% | — |

## Reasoning

- Llama 3-8B: 14.3 (#326)
- phi-3-medium 14B: —

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| Adversarial NLI | 57.3% | 55.8% |
| Epoch Capabilities Index | 116.45 | 121.23 |
| WinoGrande | 75.7% | 81.5% |
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1133 | — |
| DTBench | 43.9% | — |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 58.6 | — |
| HellaSwag | — | 82.4% |

## Math

- Llama 3-8B: 8.8 (#323)
- phi-3-medium 14B: 27.3 (#250)

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| MATH Level 5 | 6.1% | 17.6% |
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | 1151 | — |

## Knowledge

- Llama 3-8B: 7.8 (#308)
- phi-3-medium 14B: 9.1 (#306)

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 26.1% | 27.6% |
| ARC (AI2) Challenge | 82.8% | 91.6% |
| MMLU | 68.8% | 78% |
| OpenBookQA | 82.6% | 87.4% |
| TriviaQA | 67.7% | 73.9% |
| LMArena Expert | 1113 | — |

## Multilingual

- Llama 3-8B: 30.8 (#261)
- phi-3-medium 14B: —

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1098 | — |
| LMArena Chinese | 1076 | — |
| LMArena French | 1159 | — |
| LMArena German | 1104 | — |
| LMArena Japanese | 967 | — |
| LMArena Korean | 1004 | — |
| LMArena Russian | 1109 | — |
| LMArena Spanish | 1173 | — |

## Instruction Following

- Llama 3-8B: 58.4 (#260)
- phi-3-medium 14B: —

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1127 | — |

## Long Context

- Llama 3-8B: 34.2 (#251)
- phi-3-medium 14B: —

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1128 | — |

## Writing & Preference

- Llama 3-8B: 37.5 (#256)
- phi-3-medium 14B: —

| Benchmark | Llama 3-8B | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1166 | — |
| LMArena Creative Writing | 1150 | — |
| LMArena Multi-Turn | 1152 | — |

## FAQ

### Is Llama 3-8B better than phi-3-medium 14B?

phi-3-medium 14B is the stronger model overall, scoring 29.7 to 25.5 on the Noometry Index.

### Is Llama 3-8B or phi-3-medium 14B better for coding?

phi-3-medium 14B scores higher on coding benchmarks: 36.8 versus 31.0 in the Noometry coding category.

### How many benchmarks do Llama 3-8B and phi-3-medium 14B share?

11 benchmarks have published results for both models. Llama 3-8B has 34 scored results on Noometry and phi-3-medium 14B has 13.