Model comparison
Claude 3.5 Sonnet vs Llama 2-7B
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 7 categories and Llama 2-7B in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude 3.5 Sonnet leads 52.9 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | Llama 2-7B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 34.6 | 29.1 |
| Released | 2024-06-20 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 60 | 29 |
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Category by category
Coding Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.0 (#165), Llama 2-7B: 29.2 (#307)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1342 | 1002 |
| Aider Polyglot | 51.6% | — |
| GSO | 4.6% | — |
| WeirdML | 40% | — |
| BigCodeBench Instruct | 46.8% | — |
| LiveBench Coding | 67.1% | — |
| BigCodeBench Complete | 58.6% | — |
| CadEval | 48% | — |
| HumanEval+ | 81.7% | — |
| MBPP+ | 74.3% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Sonnet: 32.3 (#67), Llama 2-7B: —
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| TheAgentCompany | 24% | — |
| Cybench | 17.5% | — |
| BALROG | 32.6% | — |
| METR Time Horizons | 45.2% | — |
Reasoning Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 23.1 (#183), Llama 2-7B: 15.7 (#312)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1009 |
| Epoch Capabilities Index | 133.55 | 99.06 |
| SimpleBench | 41.4% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| DTBench | 67.8% | — |
| LiveBench Data Analysis | 55% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 60.7 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| LiveBench | 59% | — |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Llama 2-7B leads
Claude 3.5 Sonnet: 19.2 (#288), Llama 2-7B: 30.7 (#233)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Math | 1307 | 1042 |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 27.6% | — |
| LiveBench Math | 52.3% | — |
| MATH Level 5 | 56.9% | — |
| FrontierMath (Feb 2025 set) | 2.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
| GSM8K | — | 16.7% |
Knowledge Too close to call
Claude 3.5 Sonnet: 28.6 (#245), Llama 2-7B: 28.2 (#248)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1265 | 1036 |
| MMLU | 87.3% | 45.8% |
| GPQA Diamond | 55.3% | — |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.5 (#120), Llama 2-7B: —
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
| ScienceQA | — | 43.1% |
Multilingual Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 43.2 (#185), Llama 2-7B: 23.8 (#293)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1283 | 973 |
| LMArena Chinese | 1272 | 973 |
| LMArena French | 1305 | 970 |
| LMArena German | 1297 | 978 |
| LMArena Russian | 1306 | 995 |
| LMArena Spanish | 1290 | 1007 |
| LMArena Japanese | 1234 | — |
| LMArena Korean | 1200 | — |
Instruction Following Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 68.8 (#182), Llama 2-7B: 50.8 (#298)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1006 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#167), Llama 2-7B: 30.4 (#287)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1311 | 999 |
Writing & Preference Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 52.9 (#164), Llama 2-7B: 28.0 (#298)
| Benchmark | Claude 3.5 Sonnet | Llama 2-7B |
|---|---|---|
| LMArena Text | 1298 | 1053 |
| LMArena Creative Writing | 1292 | 1033 |
| LMArena Multi-Turn | 1326 | 1029 |
| Short-Story Creative Writing | 80.3% | — |
| EQ-Bench Creative Writing | 1451 | — |
| WildBench | 79.2% | — |
| LiveBench Language | 53.8% | — |
Frequently asked questions
Is Claude 3.5 Sonnet better than Llama 2-7B?
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 29.1 on the Noometry Index.
Is Claude 3.5 Sonnet or Llama 2-7B better for coding?
Claude 3.5 Sonnet scores higher on coding benchmarks: 39.0 versus 29.2 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and Llama 2-7B share?
17 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Llama 2-7B has 29.