Model comparison
Llama 3.1-8B vs Phi 3 Mini 4k Instruct
Phi 3 Mini 4k Instruct is the stronger model overall, scoring 27.9 to 23.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
Meta
MicrosoftSummary
- They share 21 benchmarks with published results for both. Llama 3.1-8B scores higher in 5 categories and Phi 3 Mini 4k Instruct in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Phi 3 Mini 4k Instruct leads 28.5 to 8.0.
Side by side
| Llama 3.1-8B | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 23.0 | 27.9 |
| Released | 2024-07-23 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.08 | — |
| Results tracked | 43 | 35 |
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Category by category
Coding Phi 3 Mini 4k Instruct leads
Llama 3.1-8B: 20.2 (#340), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1195 | 1093 |
| HumanEval+ | 62.8% | 59.1% |
| MBPP+ | 55.6% | 54.2% |
| SciCode | 13.2% | — |
| WeirdML | 1.7% | — |
| BigCodeBench Instruct | 32.8% | — |
| LiveBench Coding | — | 15.5% |
| BigCodeBench Complete | 40.5% | — |
Agentic & Tool Use Not comparable
Llama 3.1-8B: 22.5 (#131), Phi 3 Mini 4k Instruct: —
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 25.8% | — |
| BALROG | 15.1% | — |
Reasoning Too close to call
Llama 3.1-8B: 14.9 (#321), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| Chess Puzzles | 0% | 0% |
| LMArena Hard Prompts | 1175 | 1072 |
| CritPt | 0% | — |
| LiveBench Reasoning | — | 26.8% |
| DTBench | 50.9% | — |
| LiveBench Data Analysis | — | 34.7% |
| LMCA | 5.4% | — |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 116.57 | — |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| PIQA | 81.2% | — |
| WinoGrande | — | 70.8% |
Math Phi 3 Mini 4k Instruct leads
Llama 3.1-8B: 10.2 (#317), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1179 | 1111 |
| OTIS Mock AIME 2024-2025 | 1.7% | — |
| Omni-MATH | 13.7% | — |
| LiveBench Math | — | 15.7% |
| MATH Level 5 | 22.9% | — |
| GSM8K | 82.4% | — |
Knowledge Phi 3 Mini 4k Instruct leads
Llama 3.1-8B: 8.0 (#307), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1144 | 1045 |
| MMLU | 56.1% | 68.8% |
| GPQA Diamond | 27% | — |
| MMLU-Pro | 40.6% | — |
| GPQA (HELM) | 24.7% | — |
| ARC (AI2) Challenge | — | 84.9% |
| BoolQ | 82.8% | — |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multilingual Llama 3.1-8B leads
Llama 3.1-8B: 34.0 (#249), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1148 | 1021 |
| LMArena Chinese | 1151 | 1021 |
| LMArena French | 1177 | 1076 |
| LMArena German | 1144 | 1044 |
| LMArena Japanese | 1061 | 935 |
| LMArena Korean | 1053 | 905 |
| LMArena Russian | 1158 | 1022 |
| LMArena Spanish | 1169 | 1085 |
Instruction Following Llama 3.1-8B leads
Llama 3.1-8B: 58.9 (#258), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1159 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
| IFEval | 74.3% | — |
Long Context Llama 3.1-8B leads
Llama 3.1-8B: 35.8 (#238), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1182 | 1044 |
Writing & Preference Llama 3.1-8B leads
Llama 3.1-8B: 29.7 (#290), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | Llama 3.1-8B | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1187 | 1073 |
| LMArena Creative Writing | 1154 | 1037 |
| LMArena Multi-Turn | 1172 | 1018 |
| EQ-Bench Creative Writing | 713 | — |
| WildBench | 68.7% | — |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is Llama 3.1-8B better than Phi 3 Mini 4k Instruct?
Phi 3 Mini 4k Instruct is the stronger model overall, scoring 27.9 to 23.0 on the Noometry Index.
Is Llama 3.1-8B or Phi 3 Mini 4k Instruct better for coding?
Phi 3 Mini 4k Instruct scores higher on coding benchmarks: 26.6 versus 20.2 in the Noometry coding category.
How many benchmarks do Llama 3.1-8B and Phi 3 Mini 4k Instruct share?
21 benchmarks have published results for both models. Llama 3.1-8B has 43 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.