Model comparison
Llama 2-7B vs Llama 3.1-405B
Llama 3.1-405B is the stronger model overall, scoring 30.7 to 29.1 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. Llama 2-7B scores higher in 1 category and Llama 3.1-405B in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Llama 3.1-405B leads 40.7 to 23.8.
Side by side
| Llama 2-7B | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 29.1 | 30.7 |
| Released | 2023-07-18 | 2024-07-23 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 29 | 42 |
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Category by category
Coding Llama 3.1-405B leads
Llama 2-7B: 29.2 (#307), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Coding | 1002 | 1291 |
| WeirdML | — | 21.4% |
Agentic & Tool Use Not comparable
Llama 2-7B: —, Llama 3.1-405B: 21.0 (#140)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
Reasoning Llama 3.1-405B leads
Llama 2-7B: 15.7 (#312), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1269 |
| BIG-Bench Hard | 39.2% | 82.9% |
| Epoch Capabilities Index | 99.06 | 128.75 |
| HellaSwag | 77.2% | 89.2% |
| PIQA | 78.8% | 85.9% |
| WinoGrande | 69.2% | 89.2% |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| Chess Puzzles | 0% | — |
| DTBench | — | 61.4% |
| ForecastBench | — | 59.9 |
| LAMBADA | 73.3% | — |
Math Llama 2-7B leads
Llama 2-7B: 30.7 (#233), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Math | 1042 | 1281 |
| OTIS Mock AIME 2024-2025 | — | 9.7% |
| Omni-MATH | — | 24.9% |
| MATH Level 5 | — | 49.8% |
| GSM8K | 16.7% | — |
Knowledge Llama 3.1-405B leads
Llama 2-7B: 28.2 (#248), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Expert | 1036 | 1243 |
| ARC (AI2) Challenge | 45.9% | 95.3% |
| MMLU | 45.8% | 84.5% |
| TriviaQA | 73.7% | 82.7% |
| GPQA Diamond | — | 50.9% |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| GPQA (HELM) | — | 52.2% |
| BoolQ | 77.9% | — |
| OpenBookQA | 58.6% | — |
Multimodal Not comparable
Llama 2-7B: —, Llama 3.1-405B: —
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Llama 3.1-405B leads
Llama 2-7B: 23.8 (#293), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 973 | 1248 |
| LMArena Chinese | 973 | 1242 |
| LMArena French | 970 | 1279 |
| LMArena German | 978 | 1252 |
| LMArena Russian | 995 | 1265 |
| LMArena Spanish | 1007 | 1260 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1184 |
Instruction Following Llama 3.1-405B leads
Llama 2-7B: 50.8 (#298), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Instruction Following | 1006 | 1259 |
| IFEval | — | 81.1% |
Long Context Llama 3.1-405B leads
Llama 2-7B: 30.4 (#287), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 999 | 1266 |
Writing & Preference Llama 3.1-405B leads
Llama 2-7B: 28.0 (#298), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Llama 2-7B | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1053 | 1284 |
| LMArena Creative Writing | 1033 | 1262 |
| LMArena Multi-Turn | 1029 | 1297 |
| EQ-Bench Creative Writing | — | 870 |
| WildBench | — | 78.3% |
Frequently asked questions
Is Llama 2-7B better than Llama 3.1-405B?
Llama 3.1-405B is the stronger model overall, scoring 30.7 to 29.1 on the Noometry Index.
Is Llama 2-7B or Llama 3.1-405B better for coding?
Llama 3.1-405B scores higher on coding benchmarks: 33.1 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Llama 3.1-405B share?
23 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Llama 3.1-405B has 42.