Model comparison
Llama 2-70B vs Llama 3.2 1B
Llama 2-70B is the stronger model overall, scoring 24.4 to 20.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Llama 2-70B scores higher in 6 categories and Llama 3.2 1B in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama 2-70B leads 32.3 to 21.3.
Side by side
| Llama 2-70B | Llama 3.2 1B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 24.4 | 20.1 |
| Released | 2023-07-18 | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 35 | 22 |
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Category by category
Coding Llama 2-70B leads
Llama 2-70B: 31.4 (#286), Llama 3.2 1B: 21.1 (#338)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1079 | 1070 |
| BigCodeBench Instruct | — | 8.2% |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use Not comparable
Llama 2-70B: —, Llama 3.2 1B: 14.6 (#150)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
Reasoning Llama 3.2 1B leads
Llama 2-70B: 14.4 (#325), Llama 3.2 1B: 16.2 (#308)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1073 | 1044 |
| Epoch Capabilities Index | 113.79 | 101.99 |
| Chess Puzzles | — | 0% |
| DTBench | 41.6% | — |
| BIG-Bench Hard | 64.9% | — |
| CommonsenseQA 2.0 | 50% | — |
| ForecastBench | 51.4 | — |
| HellaSwag | 85.3% | — |
| LAMBADA | 78.9% | — |
| PIQA | 82.8% | — |
| WinoGrande | 80.2% | — |
Math Llama 3.2 1B leads
Llama 2-70B: 8.1 (#326), Llama 3.2 1B: 10.4 (#313)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0% | 0.6% |
| LMArena Math | 1091 | 1086 |
| MATH Level 5 | 3.3% | — |
| GSM8K | 69.6% | — |
Knowledge Too close to call
Llama 2-70B: 7.4 (#310), Llama 3.2 1B: 7.2 (#312)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 26.3% | 23.9% |
| LMArena Expert | 1039 | 1007 |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 88.6% | — |
| MMLU | 69.9% | — |
| OpenBookQA | 60.2% | — |
| TriviaQA | 87.6% | — |
Multilingual Llama 2-70B leads
Llama 2-70B: 27.7 (#274), Llama 3.2 1B: 23.8 (#292)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1045 | 973 |
| LMArena Chinese | 995 | 959 |
| LMArena German | 1041 | 1014 |
| LMArena Russian | 1083 | 941 |
| LMArena French | 1090 | — |
| LMArena Japanese | 927 | — |
| LMArena Korean | 964 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Llama 2-70B leads
Llama 2-70B: 54.9 (#278), Llama 3.2 1B: 52.4 (#290)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1071 | 1031 |
Long Context Too close to call
Llama 2-70B: 32.3 (#270), Llama 3.2 1B: 31.9 (#274)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1062 | 1050 |
Writing & Preference Llama 2-70B leads
Llama 2-70B: 32.3 (#279), Llama 3.2 1B: 21.3 (#310)
| Benchmark | Llama 2-70B | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1115 | 1055 |
| LMArena Creative Writing | 1075 | 1033 |
| LMArena Multi-Turn | 1088 | 1030 |
| EQ-Bench Creative Writing | — | 200 |
Frequently asked questions
Is Llama 2-70B better than Llama 3.2 1B?
Llama 2-70B is the stronger model overall, scoring 24.4 to 20.1 on the Noometry Index.
Is Llama 2-70B or Llama 3.2 1B better for coding?
Llama 2-70B scores higher on coding benchmarks: 31.4 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 2-70B and Llama 3.2 1B share?
16 benchmarks have published results for both models. Llama 2-70B has 35 scored results on Noometry and Llama 3.2 1B has 22.