Model comparison
Llama 3.2 1B vs Phi 3 Mini 128k Instruct
Phi 3 Mini 128k Instruct is the stronger model overall, scoring 29.7 to 20.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Llama 3.2 1B scores higher in 2 categories and Phi 3 Mini 128k Instruct in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Phi 3 Mini 128k Instruct leads 31.6 to 10.4.
- The biggest single-benchmark swing is BigCodeBench Complete: 11.3% for Llama 3.2 1B and 40.6% for Phi 3 Mini 128k Instruct.
Side by side
| Llama 3.2 1B | Phi 3 Mini 128k Instruct | |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 20.1 | 29.7 |
| Released | 2024-09-24 | 2024-04-23 |
| Weights | Open | Open |
| Context window | 60K | — |
| Max output | 54K | — |
| Input $ / M tokens | $0.027 | — |
| Output $ / M tokens | $0.20 | — |
| Results tracked | 22 | 19 |
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Category by category
Coding Phi 3 Mini 128k Instruct leads
Llama 3.2 1B: 21.1 (#338), Phi 3 Mini 128k Instruct: 28.8 (#312)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| BigCodeBench Instruct | 8.2% | 29.6% |
| LMArena Coding | 1070 | 1039 |
| BigCodeBench Complete | 11.3% | 40.6% |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Phi 3 Mini 128k Instruct: —
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Phi 3 Mini 128k Instruct leads
Llama 3.2 1B: 16.2 (#308), Phi 3 Mini 128k Instruct: 19.6 (#256)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1028 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.99 | — |
Math Phi 3 Mini 128k Instruct leads
Llama 3.2 1B: 10.4 (#313), Phi 3 Mini 128k Instruct: 31.6 (#222)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Math | 1086 | 1089 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
Knowledge Phi 3 Mini 128k Instruct leads
Llama 3.2 1B: 7.2 (#312), Phi 3 Mini 128k Instruct: 26.8 (#254)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Expert | 1007 | 984 |
| GPQA Diamond | 23.9% | — |
Multilingual Phi 3 Mini 128k Instruct leads
Llama 3.2 1B: 23.8 (#292), Phi 3 Mini 128k Instruct: 25.2 (#285)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Non-English | 973 | 1000 |
| LMArena Chinese | 959 | 1016 |
| LMArena German | 1014 | 1006 |
| LMArena Russian | 941 | 1004 |
| LMArena French | — | 1039 |
| LMArena Japanese | — | 899 |
| LMArena Korean | — | 856 |
| LMArena Spanish | — | 1059 |
Instruction Following Too close to call
Llama 3.2 1B: 52.4 (#290), Phi 3 Mini 128k Instruct: 51.8 (#294)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Instruction Following | 1031 | 1023 |
Long Context Llama 3.2 1B leads
Llama 3.2 1B: 31.9 (#274), Phi 3 Mini 128k Instruct: 30.4 (#289)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Longer Query | 1050 | 996 |
Writing & Preference Phi 3 Mini 128k Instruct leads
Llama 3.2 1B: 21.3 (#310), Phi 3 Mini 128k Instruct: 27.1 (#301)
| Benchmark | Llama 3.2 1B | Phi 3 Mini 128k Instruct |
|---|---|---|
| LMArena Text | 1055 | 1050 |
| LMArena Creative Writing | 1033 | 1024 |
| LMArena Multi-Turn | 1030 | 989 |
| EQ-Bench Creative Writing | 200 | — |
Frequently asked questions
Is Llama 3.2 1B better than Phi 3 Mini 128k Instruct?
Phi 3 Mini 128k Instruct is the stronger model overall, scoring 29.7 to 20.1 on the Noometry Index.
Is Llama 3.2 1B or Phi 3 Mini 128k Instruct better for coding?
Phi 3 Mini 128k Instruct scores higher on coding benchmarks: 28.8 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.2 1B and Phi 3 Mini 128k Instruct share?
15 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Phi 3 Mini 128k Instruct has 19.