Model comparison
Llama 13b vs Phi-3.5-mini
Llama 13b has enough public results to be ranked (#348); Phi-3.5-mini does not yet, so treat this comparison as directional.
Last verified . 3 shared benchmarks.
Meta
MicrosoftSummary
- They share 3 benchmarks with published results for both. Llama 13b scores higher in 0 categories and Phi-3.5-mini in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Phi-3.5-mini leads 34.6 to 21.4.
Side by side
| Llama 13b | Phi-3.5-mini | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 24.4 | 36.9 |
| Released | 2023-02-24 | 2024-08-16 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 21 | 5 |
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Category by category
Coding Phi-3.5-mini leads
Llama 13b: 21.4 (#337), Phi-3.5-mini: 34.6 (#232)
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| BigCodeBench Instruct | — | 32.8% |
| LMArena Coding | 683 | — |
| BigCodeBench Complete | — | 38.5% |
Reasoning Not comparable
Llama 13b: 14.0 (#329), Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| PIQA | 80.1% | 81% |
| LMArena Hard Prompts | 728 | — |
| BIG-Bench Hard | 37.9% | — |
| Epoch Capabilities Index | 100.58 | — |
| HellaSwag | 79.2% | — |
| LAMBADA | 75.2% | — |
| WinoGrande | 73% | — |
Math Not comparable
Llama 13b: 26.7 (#256), Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| GSM8K | 20.6% | 86.2% |
| LMArena Math | 838 | — |
Knowledge Not comparable
Llama 13b: —, Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| BoolQ | 78.7% | 78% |
| ARC (AI2) Challenge | 52.7% | — |
| MMLU | 47.7% | — |
| OpenBookQA | 56.4% | — |
| TriviaQA | 77.9% | — |
Multimodal Not comparable
Llama 13b: —, Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| ScienceQA | 43.3% | — |
Multilingual Not comparable
Llama 13b: 16.6 (#297), Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| LMArena Non-English | 819 | — |
Instruction Following Not comparable
Llama 13b: 36.7 (#305), Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| LMArena Instruction Following | 781 | — |
Writing & Preference Not comparable
Llama 13b: 13.8 (#312), Phi-3.5-mini: —
| Benchmark | Llama 13b | Phi-3.5-mini |
|---|---|---|
| LMArena Text | 834 | — |
| LMArena Creative Writing | 794 | — |
| LMArena Multi-Turn | 753 | — |
Frequently asked questions
Is Llama 13b better than Phi-3.5-mini?
Llama 13b has enough public results to be ranked (#348); Phi-3.5-mini does not yet, so treat this comparison as directional.
Is Llama 13b or Phi-3.5-mini better for coding?
Phi-3.5-mini scores higher on coding benchmarks: 34.6 versus 21.4 in the Noometry coding category.
How many benchmarks do Llama 13b and Phi-3.5-mini share?
3 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and Phi-3.5-mini has 5.