# Mistral Large vs Phi-4

> Mistral Large and Phi-4 score almost the same on the Noometry Index (31.6 vs 30.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/mistral-large-vs-phi-4
- Last updated: 2026-10-10
- Shared benchmarks: 35

## Summary

- They share 35 benchmarks with published results for both. Mistral Large scores higher in 5 categories and Phi-4 in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 68.1 to 60.6.
- The biggest single-benchmark swing is BigCodeBench Complete: 38.3% for Mistral Large and 55.4% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 128K.

## Snapshot

| | Mistral Large | Phi-4 |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 31.6 | 30.9 |
| Rank | 258 | 269 |
| Context | 131K | 128K |
| Input $/M | $2 | $0.07 |
| Output $/M | $6 | $0.14 |
| Weights | Open | Open |

## Coding

- Mistral Large: 33.8 (#240)
- Phi-4: 33.8 (#237)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| BigCodeBench Instruct | 30% | 45.5% |
| LiveBench Coding | 47.1% | 30.7% |
| LMArena Coding | 1277 | 1231 |
| BigCodeBench Complete | 38.3% | 55.4% |
| SciCode | 36.2% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |

## Agentic & Tool Use

- Mistral Large: 28.4 (#83)
- Phi-4: 22.6 (#120)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | 28.8% |
| BALROG | — | 11.6% |

## Reasoning

- Mistral Large: 15.4 (#305)
- Phi-4: 17.0 (#287)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| LiveBench Reasoning | 43.5% | 47.8% |
| LMArena Hard Prompts | 1257 | 1220 |
| LiveBench Data Analysis | 50.1% | 45.2% |
| Epoch Capabilities Index | 128.52 | 130.43 |
| LiveBench | 48.4% | 41.6% |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| Chess Puzzles | — | 1% |
| DTBench | 65.1% | — |
| LMCA | 16.7% | — |
| ForecastBench | 57.1 | — |

## Math

- Mistral Large: 17.1 (#285)
- Phi-4: 19.6 (#279)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | 13.8% |
| LiveBench Math | 42.5% | 42% |
| LMArena Math | 1262 | 1246 |
| MATH Level 5 | 50.3% | 64.9% |
| Omni-MATH | 28.1% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |

## Knowledge

- Mistral Large: 30.0 (#224)
- Phi-4: 32.5 (#204)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| GPQA Diamond | 51.3% | 56.1% |
| Confabulations | 21.4% | 29.4% |
| Vectara Hallucination Rate | 4.5% | 3.7% |
| LMArena Expert | 1232 | 1203 |
| MMLU | 80% | 84.8% |
| MMLU-Pro | 59.9% | — |
| GPQA (HELM) | 43.5% | — |

## Multilingual

- Mistral Large: 40.1 (#214)
- Phi-4: 37.4 (#232)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| LMArena Non-English | 1237 | 1197 |
| LMArena Chinese | 1240 | 1211 |
| LMArena French | 1324 | 1223 |
| LMArena German | 1254 | 1222 |
| LMArena Japanese | 1187 | 1158 |
| LMArena Korean | 1202 | 1151 |
| LMArena Russian | 1257 | 1209 |
| LMArena Spanish | 1268 | 1234 |

## Instruction Following

- Mistral Large: 68.1 (#186)
- Phi-4: 60.6 (#246)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| LiveBench Instruction Following | 67.9% | 58.4% |
| LMArena Instruction Following | 1249 | 1201 |
| IFEval | 87.7% | — |

## Long Context

- Mistral Large: 38.3 (#194)
- Phi-4: 36.9 (#221)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1262 | 1217 |

## Writing & Preference

- Mistral Large: 40.9 (#237)
- Phi-4: 40.7 (#239)

| Benchmark | Mistral Large | Phi-4 |
|---|---|---|
| LMArena Text | 1266 | 1217 |
| LMArena Creative Writing | 1243 | 1182 |
| Short-Story Creative Writing | 69% | 62.6% |
| LMArena Multi-Turn | 1260 | 1206 |
| LiveBench Language | 39.4% | 25.6% |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |

## FAQ

### Is Mistral Large better than Phi-4?

Mistral Large and Phi-4 score almost the same on the Noometry Index (31.6 vs 30.9), so choose on price, context window or the category you care about most.

### Which is cheaper, Mistral Large or Phi-4?

Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Mistral Large lists at $2 and $6.

### Is Mistral Large or Phi-4 better for coding?

They score almost the same on coding (33.8 vs 33.8); test both on your own repository before choosing.

### Which has the bigger context window?

Mistral Large does, with 131K tokens against 128K.

### How many benchmarks do Mistral Large and Phi-4 share?

35 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Phi-4 has 37.