# Llama 3.2 3B vs Phi-4 Mini

> Phi-4 Mini is the stronger model overall, scoring 30.9 to 28.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-3b-vs-phi-4-mini
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Llama 3.2 3B leads 29.7 to 25.3.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.075 / $0.30 for Phi-4 Mini.
- Llama 3.2 3B accepts more context: 131K tokens versus 128K.

## Snapshot

| | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 28.9 | 30.9 |
| Rank | 321 | 283 |
| Context | 131K | 128K |
| Input $/M | $0.05 | $0.075 |
| Output $/M | $0.33 | $0.30 |
| Weights | Open | Open |

## Coding

- Llama 3.2 3B: 27.6 (#319)
- Phi-4 Mini: 28.1 (#317)

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| BigCodeBench Instruct | 23.4% | — |
| LMArena Coding | 1098 | — |
| BigCodeBench Complete | 28.3% | — |

## Agentic & Tool Use

- Llama 3.2 3B: 20.1 (#143)
- Phi-4 Mini: —

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |

## Reasoning

- Llama 3.2 3B: 21.0 (#228)
- Phi-4 Mini: 22.4 (#195)

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1095 | — |

## Math

- Llama 3.2 3B: 32.4 (#214)
- Phi-4 Mini: —

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| LMArena Math | 1126 | — |

## Knowledge

- Llama 3.2 3B: 29.7 (#235)
- Phi-4 Mini: 25.3 (#262)

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | — | 23.5% |
| LMArena Expert | 1090 | — |

## Multilingual

- Llama 3.2 3B: 26.2 (#281)
- Phi-4 Mini: —

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1019 | — |
| LMArena Chinese | 1017 | — |
| LMArena German | 1056 | — |
| LMArena Russian | 949 | — |

## Instruction Following

- Llama 3.2 3B: 56.0 (#275)
- Phi-4 Mini: —

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 1089 | — |

## Long Context

- Llama 3.2 3B: 33.4 (#261)
- Phi-4 Mini: —

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1100 | — |

## Writing & Preference

- Llama 3.2 3B: 24.7 (#307)
- Phi-4 Mini: —

| Benchmark | Llama 3.2 3B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1110 | — |
| LMArena Creative Writing | 1094 | — |
| EQ-Bench Creative Writing | 595 | — |
| LMArena Multi-Turn | 1105 | — |

## FAQ

### Is Llama 3.2 3B better than Phi-4 Mini?

Phi-4 Mini is the stronger model overall, scoring 30.9 to 28.9 on the Noometry Index.

### Which is cheaper, Llama 3.2 3B or Phi-4 Mini?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Phi-4 Mini lists at $0.075 and $0.30.

### Is Llama 3.2 3B or Phi-4 Mini better for coding?

They score almost the same on coding (27.6 vs 28.1); test both on your own repository before choosing.

### Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 128K.

### How many benchmarks do Llama 3.2 3B and Phi-4 Mini share?

0 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Phi-4 Mini has 3.