Model comparison
Claude 2.1 vs Llama 2-7B
Llama 2-7B is the stronger model overall, scoring 29.1 to 25.2 on the Noometry Index.
Last verified . 2 shared benchmarks.
MetaSummary
- They share 2 benchmarks with published results for both. Claude 2.1 scores higher in 1 category and Llama 2-7B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Llama 2-7B leads 30.7 to 10.2.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Claude 2.1 | Llama 2-7B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 25.2 | 29.1 |
| Released | 2023-11-21 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 7 | 29 |
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Category by category
Coding Llama 2-7B leads
Claude 2.1: 26.2 (#327), Llama 2-7B: 29.2 (#307)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| WeirdML | 7.1% | — |
| LMArena Coding | — | 1002 |
Reasoning Claude 2.1 leads
Claude 2.1: 21.4 (#221), Llama 2-7B: 15.7 (#312)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| Epoch Capabilities Index | 119.27 | 99.06 |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | — | 1009 |
| DTBench | 51% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 54.2 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Llama 2-7B leads
Claude 2.1: 10.2 (#315), Llama 2-7B: 30.7 (#233)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | — | 1042 |
| GSM8K | — | 16.7% |
Knowledge Llama 2-7B leads
Claude 2.1: 15.4 (#292), Llama 2-7B: 28.2 (#248)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| MMLU | 73.5% | 45.8% |
| GPQA Diamond | 33% | — |
| LMArena Expert | — | 1036 |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Claude 2.1: —, Llama 2-7B: —
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Not comparable
Claude 2.1: —, Llama 2-7B: 23.8 (#293)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 973 |
| LMArena French | — | 970 |
| LMArena German | — | 978 |
| LMArena Russian | — | 995 |
| LMArena Spanish | — | 1007 |
Instruction Following Not comparable
Claude 2.1: —, Llama 2-7B: 50.8 (#298)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | — | 1006 |
Long Context Not comparable
Claude 2.1: —, Llama 2-7B: 30.4 (#287)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | — | 999 |
Writing & Preference Not comparable
Claude 2.1: —, Llama 2-7B: 28.0 (#298)
| Benchmark | Claude 2.1 | Llama 2-7B |
|---|---|---|
| LMArena Text | — | 1053 |
| LMArena Creative Writing | — | 1033 |
| LMArena Multi-Turn | — | 1029 |
Frequently asked questions
Is Claude 2.1 better than Llama 2-7B?
Llama 2-7B is the stronger model overall, scoring 29.1 to 25.2 on the Noometry Index.
Is Claude 2.1 or Llama 2-7B better for coding?
Llama 2-7B scores higher on coding benchmarks: 29.2 versus 26.2 in the Noometry coding category.
How many benchmarks do Claude 2.1 and Llama 2-7B share?
2 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and Llama 2-7B has 29.