Model comparison
Claude 3.5 Sonnet vs Llama 2-13B
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 29.6 on the Noometry Index.
Last verified . 20 shared benchmarks.
MetaSummary
- They share 20 benchmarks with published results for both. Claude 3.5 Sonnet scores higher in 7 categories and Llama 2-13B 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 29.8.
- The biggest single-benchmark swing is DTBench: 67.8% for Claude 3.5 Sonnet and 42.2% for Llama 2-13B.
- Llama 2-13B has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Sonnet | Llama 2-13B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 34.6 | 29.6 |
| Released | 2024-06-20 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 60 | 32 |
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Category by category
Coding Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.0 (#165), Llama 2-13B: 30.9 (#291)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1342 | 1062 |
| 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 2-13B: —
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| 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 2-13B: 12.8 (#337)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1305 | 1051 |
| DTBench | 67.8% | 42.2% |
| Epoch Capabilities Index | 133.55 | 106.17 |
| SimpleBench | 41.4% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 0.9% | — |
| LiveBench Reasoning | 56.7% | — |
| LiveBench Data Analysis | 55% | — |
| BIG-Bench Hard | — | 58.2% |
| ForecastBench | 60.7 | — |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| LiveBench | 59% | — |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |
Math Llama 2-13B leads
Claude 3.5 Sonnet: 19.2 (#288), Llama 2-13B: 31.1 (#229)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Math | 1307 | 1065 |
| 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 | — | 36.9% |
Knowledge Too close to call
Claude 3.5 Sonnet: 28.6 (#245), Llama 2-13B: 28.1 (#249)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1265 | 1030 |
| MMLU | 87.3% | 55.6% |
| GPQA Diamond | 55.3% | — |
| Humanity's Last Exam | 4.1% | — |
| MMLU-Pro | 77.7% | — |
| Confabulations | 19.9% | — |
| GPQA (HELM) | 56.5% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |
Multimodal Not comparable
Claude 3.5 Sonnet: 26.5 (#120), Llama 2-13B: —
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Vision | 1125 | — |
| Video-MME | 60% | — |
| GeoBench | 62% | — |
| VPCT | 33% | — |
| ScienceQA | — | 55.8% |
Multilingual Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 43.2 (#185), Llama 2-13B: 26.5 (#279)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1283 | 1024 |
| LMArena Chinese | 1272 | 1001 |
| LMArena French | 1305 | 1044 |
| LMArena German | 1297 | 1009 |
| LMArena Japanese | 1234 | 894 |
| LMArena Korean | 1200 | 953 |
| LMArena Russian | 1306 | 1055 |
| LMArena Spanish | 1290 | 1087 |
Instruction Following Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 68.8 (#182), Llama 2-13B: 53.3 (#287)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1297 | 1045 |
| LiveBench Instruction Following | 69.3% | — |
| IFEval | 85.5% | — |
Long Context Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 39.9 (#167), Llama 2-13B: 32.3 (#269)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1311 | 1064 |
Writing & Preference Claude 3.5 Sonnet leads
Claude 3.5 Sonnet: 52.9 (#164), Llama 2-13B: 29.8 (#289)
| Benchmark | Claude 3.5 Sonnet | Llama 2-13B |
|---|---|---|
| LMArena Text | 1298 | 1084 |
| LMArena Creative Writing | 1292 | 1047 |
| LMArena Multi-Turn | 1326 | 1050 |
| 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 2-13B?
Claude 3.5 Sonnet is the stronger model overall, scoring 34.6 to 29.6 on the Noometry Index.
Is Claude 3.5 Sonnet or Llama 2-13B better for coding?
Claude 3.5 Sonnet scores higher on coding benchmarks: 39.0 versus 30.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Sonnet and Llama 2-13B share?
20 benchmarks have published results for both models. Claude 3.5 Sonnet has 60 scored results on Noometry and Llama 2-13B has 32.