Model comparison
Llama 13b vs Phi-4 Mini
Phi-4 Mini is the stronger model overall, scoring 30.9 to 24.4 on the Noometry Index.
Last verified . 0 shared benchmarks.
Meta
MicrosoftSummary
- The widest gap is in reasoning, where Phi-4 Mini leads 22.4 to 14.0.
Side by side
| Llama 13b | Phi-4 Mini | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 24.4 | 30.9 |
| Released | 2023-02-24 | 2024-12-11 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.075 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 21 | 3 |
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Category by category
Coding Phi-4 Mini leads
Llama 13b: 21.4 (#337), Phi-4 Mini: 28.1 (#317)
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| SciCode | — | 10.8% |
| LMArena Coding | 683 | — |
Reasoning Phi-4 Mini leads
Llama 13b: 14.0 (#329), Phi-4 Mini: 22.4 (#195)
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| CritPt | — | 0% |
| LMArena Hard Prompts | 728 | — |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| PIQA | 80.1% | — |
| WinoGrande | 73% | — |
Math Not comparable
Llama 13b: 26.7 (#256), Phi-4 Mini: —
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| LMArena Math | 838 | — |
| GSM8K | 20.6% | — |
Knowledge Not comparable
Llama 13b: —, Phi-4 Mini: 25.3 (#262)
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| Vectara Hallucination Rate | — | 23.5% |
| ARC (AI2) Challenge | 52.7% | — |
| BoolQ | 78.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Phi-4 Mini: —
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.6 (#297), Phi-4 Mini: —
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.7 (#305), Phi-4 Mini: —
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Writing & Preference Not comparable
Llama 13b: 13.8 (#312), Phi-4 Mini: —
| Benchmark | Llama 13b | Phi-4 Mini |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Phi-4 Mini?
Phi-4 Mini is the stronger model overall, scoring 30.9 to 24.4 on the Noometry Index.
Is Llama 13b or Phi-4 Mini better for coding?
Phi-4 Mini scores higher on coding benchmarks: 28.1 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Phi-4 Mini share?
0 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Phi-4 Mini has 3.