# Llama 3.1-70B vs Phi-4 Mini

> Phi-4 Mini is the stronger model overall, scoring 30.9 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-1-70b-vs-phi-4-mini
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.40 / $0.40 for Llama 3.1-70B.

## Snapshot

| | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 29.6 | 30.9 |
| Rank | 308 | 283 |
| Context | 128K | 128K |
| Input $/M | $0.40 | $0.075 |
| Output $/M | $0.40 | $0.30 |
| Weights | Open | Open |

## Coding

- Llama 3.1-70B: 30.3 (#296)
- Phi-4 Mini: 28.1 (#317)

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| WeirdML | 9% | — |
| BigCodeBench Instruct | 46.1% | — |
| LMArena Coding | 1260 | — |
| BigCodeBench Complete | 54.8% | — |

## Agentic & Tool Use

- Llama 3.1-70B: 25.1 (#112)
- Phi-4 Mini: —

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| TheAgentCompany | 6.9% | — |
| BALROG | 27.9% | — |

## Reasoning

- Llama 3.1-70B: 21.6 (#220)
- Phi-4 Mini: 22.4 (#195)

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 1241 | — |
| DTBench | 60% | — |
| LMCA | 14.8% | — |
| Epoch Capabilities Index | 125.92 | — |

## Math

- Llama 3.1-70B: 13.5 (#304)
- Phi-4 Mini: —

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 3.6% | — |
| Omni-MATH | 21% | — |
| LMArena Math | 1252 | — |
| MATH Level 5 | 36.7% | — |

## Knowledge

- Llama 3.1-70B: 24.2 (#269)
- Phi-4 Mini: 25.3 (#262)

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 44.2% | — |
| MMLU-Pro | 65.3% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 42.6% | — |
| LMArena Expert | 1209 | — |
| MMLU | 80.1% | — |

## Multilingual

- Llama 3.1-70B: 38.8 (#225)
- Phi-4 Mini: —

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1219 | — |
| LMArena Chinese | 1215 | — |
| LMArena French | 1261 | — |
| LMArena German | 1222 | — |
| LMArena Japanese | 1132 | — |
| LMArena Korean | 1140 | — |
| LMArena Russian | 1234 | — |
| LMArena Spanish | 1253 | — |

## Instruction Following

- Llama 3.1-70B: 65.3 (#223)
- Phi-4 Mini: —

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| IFEval | 82.1% | — |
| LMArena Instruction Following | 1231 | — |

## Long Context

- Llama 3.1-70B: 37.6 (#214)
- Phi-4 Mini: —

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1241 | — |

## Writing & Preference

- Llama 3.1-70B: 35.4 (#267)
- Phi-4 Mini: —

| Benchmark | Llama 3.1-70B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1261 | — |
| LMArena Creative Writing | 1232 | — |
| EQ-Bench Creative Writing | 784 | — |
| WildBench | 75.8% | — |
| LMArena Multi-Turn | 1256 | — |

## FAQ

### Is Llama 3.1-70B better than Phi-4 Mini?

Phi-4 Mini is the stronger model overall, scoring 30.9 to 29.6 on the Noometry Index.

### Which is cheaper, Llama 3.1-70B or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; Llama 3.1-70B lists at $0.40 and $0.40.

### Is Llama 3.1-70B or Phi-4 Mini better for coding?

Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 28.1 in the Noometry coding category.

### Which has the bigger context window?

Both accept 128K tokens.

### How many benchmarks do Llama 3.1-70B and Phi-4 Mini share?

0 benchmarks have published results for both models. Llama 3.1-70B has 35 scored results on Noometry and Phi-4 Mini has 3.