Model comparison
Llama 2-7B vs Llama 3.2 90B
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.5 on the Noometry Index.
Last verified . 2 shared benchmarks.
MetaSummary
- They share 2 benchmarks with published results for both. Llama 2-7B scores higher in 2 categories and Llama 3.2 90B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-7B leads 30.7 to 11.1.
Side by side
| Llama 2-7B | Llama 3.2 90B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 27.5 |
| Released | 2023-07-18 | 2024-09-24 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 9 |
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Category by category
Coding Not comparable
Llama 2-7B: 29.2 (#307), Llama 3.2 90B: —
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| LMArena Coding | 1002 | — |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Llama 3.2 90B: 30.0 (#80)
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| BALROG | — | 27.3% |
Reasoning Llama 3.2 90B leads
Llama 2-7B: 15.7 (#312), Llama 3.2 90B: 21.7 (#217)
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| Epoch Capabilities Index | 99.06 | 125.5 |
| Chess Puzzles | 0% | — |
| EnigmaEval | — | 0.4% |
| LMArena Hard Prompts | 1009 | — |
| BIG-Bench Hard | 39.2% | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Llama 3.2 90B: 11.1 (#308)
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.6% |
| LMArena Math | 1042 | — |
| MATH Level 5 | — | 39.4% |
| GSM8K | 16.7% | — |
Knowledge Llama 2-7B leads
Llama 2-7B: 28.2 (#248), Llama 3.2 90B: 21.7 (#274)
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| MMLU | 45.8% | 80.3% |
| GPQA Diamond | — | 41% |
| LMArena Expert | 1036 | — |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Llama 3.2 90B: 25.4 (#124)
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| LMArena Vision | — | 1000 |
| GeoBench | — | 52% |
| ScienceQA | 43.1% | — |
Multilingual Not comparable
Llama 2-7B: 23.8 (#293), Llama 3.2 90B: —
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 973 | — |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Russian | 995 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Not comparable
Llama 2-7B: 50.8 (#298), Llama 3.2 90B: —
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| LMArena Instruction Following | 1006 | — |
Long Context Not comparable
Llama 2-7B: 30.4 (#287), Llama 3.2 90B: —
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| LMArena Longer Query | 999 | — |
Writing & Preference Not comparable
Llama 2-7B: 28.0 (#298), Llama 3.2 90B: —
| Benchmark | Llama 2-7B | Llama 3.2 90B |
|---|---|---|
| LMArena Text | 1053 | — |
| LMArena Creative Writing | 1033 | — |
| LMArena Multi-Turn | 1029 | — |
Frequently asked questions
Is Llama 2-7B better than Llama 3.2 90B?
Llama 2-7B is the stronger model overall, scoring 29.1 to 27.5 on the Noometry Index.
How many benchmarks do Llama 2-7B and Llama 3.2 90B share?
2 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Llama 3.2 90B has 9.