Model comparison
Llama 3.1-405B vs Phi-4 Mini
Llama 3.1-405B and Phi-4 Mini score almost the same on the Noometry Index (30.4 vs 30.4), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Meta
MicrosoftSummary
- The widest gap is in knowledge, where Llama 3.1-405B leads 30.4 to 24.8.
Side by side
| Llama 3.1-405B | Phi-4 Mini | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 30.4 | 30.4 |
| Released | 2024-07-23 | 2024-12-11 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.075 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 42 | 3 |
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Category by category
Coding Llama 3.1-405B leads
Llama 3.1-405B: 32.7 (#257), Phi-4 Mini: 27.6 (#312)
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| WeirdML | 21.4% | — |
| LMArena Coding | 1291 | — |
Agentic & Tool Use Not comparable
Llama 3.1-405B: 20.9 (#131), Phi-4 Mini: —
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| TheAgentCompany | 7.4% | — |
| Cybench | 7.5% | — |
Reasoning Phi-4 Mini leads
Llama 3.1-405B: 16.4 (#293), Phi-4 Mini: 21.7 (#190)
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| SimpleBench | 23% | — |
| Kagi LLM Benchmark | 45% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1270 | — |
| DTBench | 61.4% | — |
| BIG-Bench Hard | 82.9% | — |
| Epoch Capabilities Index | 128.76 | — |
| ForecastBench | 59.9 | — |
| HellaSwag | 89.2% | — |
| PIQA | 85.9% | — |
| WinoGrande | 89.2% | — |
Math Not comparable
Llama 3.1-405B: 17.3 (#283), Phi-4 Mini: —
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 9.7% | — |
| Omni-MATH | 24.9% | — |
| LMArena Math | 1281 | — |
| MATH Level 5 | 49.8% | — |
Knowledge Llama 3.1-405B leads
Llama 3.1-405B: 30.4 (#221), Phi-4 Mini: 24.8 (#261)
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| GPQA Diamond | 50.9% | — |
| MMLU-Pro | 72.3% | — |
| Confabulations | 17.6% | — |
| Vectara Hallucination Rate | — | 23.5% |
| GPQA (HELM) | 52.2% | — |
| LMArena Expert | 1243 | — |
| ARC (AI2) Challenge | 95.3% | — |
| MMLU | 84.5% | — |
| TriviaQA | 82.7% | — |
Multilingual Not comparable
Llama 3.1-405B: 40.9 (#209), Phi-4 Mini: —
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 1248 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1278 | — |
| LMArena German | 1252 | — |
| LMArena Japanese | 1208 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1265 | — |
| LMArena Spanish | 1259 | — |
Instruction Following Not comparable
Llama 3.1-405B: 66.1 (#209), Phi-4 Mini: —
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| IFEval | 81.1% | — |
| LMArena Instruction Following | 1259 | — |
Long Context Not comparable
Llama 3.1-405B: 38.4 (#192), Phi-4 Mini: —
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| LMArena Longer Query | 1266 | — |
Writing & Preference Not comparable
Llama 3.1-405B: 39.1 (#246), Phi-4 Mini: —
| Benchmark | Llama 3.1-405B | Phi-4 Mini |
|---|---|---|
| LMArena Text | 1284 | — |
| LMArena Creative Writing | 1262 | — |
| EQ-Bench Creative Writing | 870 | — |
| WildBench | 78.3% | — |
| LMArena Multi-Turn | 1297 | — |
Frequently asked questions
Is Llama 3.1-405B better than Phi-4 Mini?
Llama 3.1-405B and Phi-4 Mini score almost the same on the Noometry Index (30.4 vs 30.4), so choose on price, context window or the category you care about most.
Is Llama 3.1-405B or Phi-4 Mini better for coding?
Llama 3.1-405B scores higher on coding benchmarks: 32.7 versus 27.6 in the Noometry coding category.
How many benchmarks do Llama 3.1-405B and Phi-4 Mini share?
0 benchmarks have published results for both models. Llama 3.1-405B has 42 scored results on Noometry and Phi-4 Mini has 3.