Model comparison
Mistral Large 4 vs Phi 3 Mini 4k Instruct
Mistral Large 4 is the stronger model overall, scoring 43.1 to 27.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Mistral Large 4 scores higher in 8 categories and Phi 3 Mini 4k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Large 4 leads 60.4 to 27.6.
- Phi 3 Mini 4k Instruct has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 4 | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Mistral AI | Microsoft |
| Noometry Index | 43.1 | 27.9 |
| Released | 2026-10-06 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.68 | — |
| Output $ / M tokens | $2.09 | — |
| Results tracked | 15 | 35 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1475 | 1093 |
| LMArena WebDev | 1541 | — |
| LiveBench Coding | — | 15.5% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Reasoning Mistral Large 4 leads
Mistral Large 4: 22.5 (#192), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1072 |
| NYT Connections (extended) | 27.4% | — |
| Chess Puzzles | — | 0% |
| LiveBench Reasoning | — | 26.8% |
| LiveBench Data Analysis | — | 34.7% |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1488 | 1111 |
| LiveBench Math | — | 15.7% |
Knowledge Mistral Large 4 leads
Mistral Large 4: 36.6 (#166), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1447 | 1045 |
| SimpleQA Verified | 20% | — |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1415 | 1021 |
| LMArena Chinese | 1491 | 1021 |
| LMArena Russian | 1414 | 1022 |
| LMArena French | — | 1076 |
| LMArena German | — | 1044 |
| LMArena Japanese | — | 935 |
| LMArena Korean | — | 905 |
| LMArena Spanish | — | 1085 |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1424 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context Mistral Large 4 leads
Mistral Large 4: 43.6 (#89), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1429 | 1044 |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | Mistral Large 4 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1427 | 1073 |
| LMArena Creative Writing | 1361 | 1037 |
| LMArena Multi-Turn | 1424 | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is Mistral Large 4 better than Phi 3 Mini 4k Instruct?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 27.9 on the Noometry Index.
Is Mistral Large 4 or Phi 3 Mini 4k Instruct better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 26.6 in the Noometry coding category.
How many benchmarks do Mistral Large 4 and Phi 3 Mini 4k Instruct share?
12 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.