Model comparison
Llama 2-13B vs Phi 3 Mini 4k Instruct June 2024
Phi 3 Mini 4k Instruct June 2024 is the stronger model overall, scoring 30.7 to 29.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
Meta
MicrosoftSummary
- They share 15 benchmarks with published results for both. Llama 2-13B scores higher in 3 categories and Phi 3 Mini 4k Instruct June 2024 in 5 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Phi 3 Mini 4k Instruct June 2024 leads 19.9 to 12.3.
Side by side
| Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 29.1 | 30.7 |
| Released | 2023-07-18 | — |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 32 | 15 |
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Category by category
Coding Too close to call
Llama 2-13B: 30.4 (#287), Phi 3 Mini 4k Instruct June 2024: 31.2 (#275)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Coding | 1062 | 1093 |
Reasoning Phi 3 Mini 4k Instruct June 2024 leads
Llama 2-13B: 12.3 (#333), Phi 3 Mini 4k Instruct June 2024: 19.9 (#229)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Hard Prompts | 1051 | 1088 |
| Chess Puzzles | 0% | — |
| DTBench | 42.2% | — |
| BIG-Bench Hard | 58.2% | — |
| Epoch Capabilities Index | 105.8 | — |
| HellaSwag | 80.7% | — |
| LAMBADA | 76.5% | — |
| PIQA | 80.8% | — |
| WinoGrande | 72.8% | — |
Math Phi 3 Mini 4k Instruct June 2024 leads
Llama 2-13B: 28.7 (#226), Phi 3 Mini 4k Instruct June 2024: 30.4 (#209)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Math | 1065 | 1152 |
| GSM8K | 36.9% | — |
Knowledge Too close to call
Llama 2-13B: 27.5 (#244), Phi 3 Mini 4k Instruct June 2024: 28.1 (#240)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Expert | 1030 | 1051 |
| ARC (AI2) Challenge | 60.3% | — |
| BoolQ | 82.4% | — |
| MMLU | 55.6% | — |
| OpenBookQA | 57% | — |
| TriviaQA | 79.6% | — |
Multimodal Not comparable
Llama 2-13B: —, Phi 3 Mini 4k Instruct June 2024: —
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| ScienceQA | 55.8% | — |
Multilingual Too close to call
Llama 2-13B: 26.7 (#274), Phi 3 Mini 4k Instruct June 2024: 26.0 (#277)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Non-English | 1024 | 1013 |
| LMArena Chinese | 1001 | 1033 |
| LMArena German | 1009 | 1031 |
| LMArena Japanese | 894 | 954 |
| LMArena Korean | 953 | 880 |
| LMArena Russian | 1055 | 1019 |
| LMArena French | 1043 | — |
| LMArena Spanish | 1086 | — |
Instruction Following Too close to call
Llama 2-13B: 53.5 (#282), Phi 3 Mini 4k Instruct June 2024: 54.3 (#277)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Instruction Following | 1046 | 1058 |
Long Context Too close to call
Llama 2-13B: 32.3 (#264), Phi 3 Mini 4k Instruct June 2024: 31.6 (#272)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Longer Query | 1064 | 1042 |
Writing & Preference Too close to call
Llama 2-13B: 30.0 (#284), Phi 3 Mini 4k Instruct June 2024: 29.7 (#289)
| Benchmark | Llama 2-13B | Phi 3 Mini 4k Instruct June 2024 |
|---|---|---|
| LMArena Text | 1085 | 1080 |
| LMArena Creative Writing | 1047 | 1045 |
| LMArena Multi-Turn | 1050 | 1049 |
Frequently asked questions
Is Llama 2-13B better than Phi 3 Mini 4k Instruct June 2024?
Phi 3 Mini 4k Instruct June 2024 is the stronger model overall, scoring 30.7 to 29.1 on the Noometry Index.
Is Llama 2-13B or Phi 3 Mini 4k Instruct June 2024 better for coding?
They score almost the same on coding (30.4 vs 31.2); test both on your own repository before choosing.
How many benchmarks do Llama 2-13B and Phi 3 Mini 4k Instruct June 2024 share?
15 benchmarks have published results for both models. Llama 2-13B has 32 scored results on Noometry and Phi 3 Mini 4k Instruct June 2024 has 15.