Model comparison
Llama 2-34B vs Llama 3.1-405B
Llama 3.1-405B has enough public results to be ranked (#279); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 7 shared benchmarks.
MetaSummary
- They share 7 benchmarks with published results for both.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-34B | Llama 3.1-405B | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | — | 30.4 |
| Released | 2023-07-18 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 10 | 42 |
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Category by category
Coding Not comparable
Llama 2-34B: —, Llama 3.1-405B: 32.7 (#257)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| WeirdML | — | 21.4% |
| LMArena Coding | — | 1291 |
Agentic & Tool Use Not comparable
Llama 2-34B: —, Llama 3.1-405B: 20.9 (#131)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
Reasoning Not comparable
Llama 2-34B: —, Llama 3.1-405B: 16.4 (#293)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| BIG-Bench Hard | 44.1% | 82.9% |
| Epoch Capabilities Index | 104.81 | 128.76 |
| PIQA | 81.9% | 85.9% |
| WinoGrande | 76.7% | 89.2% |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| LMArena Hard Prompts | — | 1270 |
| DTBench | — | 61.4% |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
Math Not comparable
Llama 2-34B: —, Llama 3.1-405B: 17.3 (#283)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 9.7% |
| Omni-MATH | — | 24.9% |
| LMArena Math | — | 1281 |
| MATH Level 5 | — | 49.8% |
| GSM8K | 42.2% | — |
Knowledge Not comparable
Llama 2-34B: —, Llama 3.1-405B: 30.4 (#221)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| ARC (AI2) Challenge | 54.5% | 95.3% |
| MMLU | 62.6% | 84.5% |
| TriviaQA | 84.6% | 82.7% |
| GPQA Diamond | — | 50.9% |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| GPQA (HELM) | — | 52.2% |
| LMArena Expert | — | 1243 |
| BoolQ | 83.7% | — |
| OpenBookQA | 58.2% | — |
Multilingual Not comparable
Llama 2-34B: —, Llama 3.1-405B: 40.9 (#209)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | — | 1248 |
| LMArena Chinese | — | 1242 |
| LMArena French | — | 1278 |
| LMArena German | — | 1252 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1184 |
| LMArena Russian | — | 1265 |
| LMArena Spanish | — | 1259 |
Instruction Following Not comparable
Llama 2-34B: —, Llama 3.1-405B: 66.1 (#209)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| IFEval | — | 81.1% |
| LMArena Instruction Following | — | 1259 |
Long Context Not comparable
Llama 2-34B: —, Llama 3.1-405B: 38.4 (#192)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | — | 1266 |
Writing & Preference Not comparable
Llama 2-34B: —, Llama 3.1-405B: 39.1 (#246)
| Benchmark | Llama 2-34B | Llama 3.1-405B |
|---|---|---|
| LMArena Text | — | 1284 |
| LMArena Creative Writing | — | 1262 |
| EQ-Bench Creative Writing | — | 870 |
| WildBench | — | 78.3% |
| LMArena Multi-Turn | — | 1297 |
Frequently asked questions
Is Llama 2-34B better than Llama 3.1-405B?
Llama 3.1-405B has enough public results to be ranked (#279); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do Llama 2-34B and Llama 3.1-405B share?
7 benchmarks have published results for both models. Llama 2-34B has 10 scored results on Noometry and Llama 3.1-405B has 42.