# Mistral Large 3 vs Phi-4

> Mistral Large 3 is the stronger model overall, scoring 39.1 to 31.2 on the Noometry Index. Phi-4 costs 4.3× less per token, which makes it the better buy when Mistral Large 3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-3-vs-phi-4
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Mistral Large 3 scores higher in 7 categories and Phi-4 in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 3 leads 60.0 to 40.5.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 14.5% for Mistral Large 3 and 3.7% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Mistral Large 3 accepts more context: 262K tokens versus 128K.

## Snapshot

| | Mistral Large 3 | Phi-4 |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 39.1 | 31.2 |
| Rank | 176 | 279 |
| Context | 262K | 128K |
| Input $/M | $0.25 | $0.07 |
| Output $/M | $0.75 | $0.14 |
| Weights | Open | Open |

## Coding

- Mistral Large 3: 34.4 (#237)
- Phi-4: 34.4 (#239)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Coding | 1448 | 1231 |
| LMArena WebDev | 1230 | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |

## Agentic & Tool Use

- Mistral Large 3: —
- Phi-4: 22.8 (#128)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.8% |
| BALROG | — | 11.6% |

## Reasoning

- Mistral Large 3: 15.2 (#319)
- Phi-4: 17.7 (#291)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1220 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Chess Puzzles | — | 1% |
| Thematic Generalization | 23% | — |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| Epoch Capabilities Index | — | 130.42 |
| LiveBench | — | 41.6% |

## Math

- Mistral Large 3: 38.7 (#129)
- Phi-4: 20.8 (#285)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Math | 1414 | 1246 |
| OTIS Mock AIME 2024-2025 | — | 13.8% |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |

## Knowledge

- Mistral Large 3: 36.0 (#177)
- Phi-4: 32.6 (#209)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | 3.7% |
| LMArena Expert | 1421 | 1203 |
| GPQA Diamond | — | 56.1% |
| Confabulations | — | 29.4% |
| MMLU | — | 84.8% |

## Multimodal

- Mistral Large 3: 38.2 (#66)
- Phi-4: —

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Vision | 1221 | — |

## Multilingual

- Mistral Large 3: 52.5 (#84)
- Phi-4: 37.2 (#237)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Non-English | 1413 | 1197 |
| LMArena Chinese | 1447 | 1212 |
| LMArena French | 1455 | 1224 |
| LMArena German | 1437 | 1222 |
| LMArena Japanese | 1394 | 1158 |
| LMArena Korean | 1384 | 1151 |
| LMArena Russian | 1411 | 1209 |
| LMArena Spanish | 1440 | 1234 |

## Instruction Following

- Mistral Large 3: 74.0 (#108)
- Phi-4: 60.4 (#251)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1403 | 1201 |
| LiveBench Instruction Following | — | 58.4% |

## Long Context

- Mistral Large 3: 43.1 (#105)
- Phi-4: 36.9 (#226)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1413 | 1217 |

## Writing & Preference

- Mistral Large 3: 60.0 (#101)
- Phi-4: 40.5 (#244)

| Benchmark | Mistral Large 3 | Phi-4 |
|---|---|---|
| LMArena Text | 1428 | 1217 |
| LMArena Creative Writing | 1386 | 1182 |
| LMArena Multi-Turn | 1429 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| EQ-Bench Creative Writing | 1412 | — |
| LiveBench Language | — | 25.6% |

## FAQ

### Is Mistral Large 3 better than Phi-4?

Mistral Large 3 is the stronger model overall, scoring 39.1 to 31.2 on the Noometry Index. Phi-4 costs 4.3× less per token, which makes it the better buy when Mistral Large 3's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large 3 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 3 lists at $0.25 and $0.75.

### Is Mistral Large 3 or Phi-4 better for coding?

They score almost the same on coding (34.4 vs 34.4); test both on your own repository before choosing.

### Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 128K.

### How many benchmarks do Mistral Large 3 and Phi-4 share?

18 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Phi-4 has 37.