Model comparison
Claude Sonnet 5 vs Llama 2-7B
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Claude Sonnet 5 scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 5 leads 69.2 to 28.0.
- The biggest single-benchmark swing is Chess Puzzles: 35% for Claude Sonnet 5 and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5 | Llama 2-7B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 54.6 | 29.1 |
| Released | 2026-06-29 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 51 | 29 |
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Category by category
Coding Claude Sonnet 5 leads
Claude Sonnet 5: 55.5 (#26), Llama 2-7B: 29.2 (#307)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1483 | 1002 |
| DeepSWE | 53.8% | — |
| FrontierCode | 42.7% | — |
| CursorBench | 34.1% | — |
| LMArena WebDev | 1541 | — |
| SciCode | 54.3% | — |
| GSO | 37.3% | — |
| WeirdML | 68.8% | — |
| ALE-Bench | 1,463 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 5: 42.8 (#18), Llama 2-7B: —
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| APEX-Agents | 54.5% | — |
| GBAEval | 65.3% | — |
| LMArena Search | 1194 | — |
| Vending-Bench 2 | 6,378 | — |
Reasoning Claude Sonnet 5 leads
Claude Sonnet 5: 49.1 (#39), Llama 2-7B: 15.7 (#312)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 35% | 0% |
| LMArena Hard Prompts | 1461 | 1009 |
| Epoch Capabilities Index | 156.21 | 99.06 |
| SimpleBench | 60.6% | — |
| NYT Connections (extended) | 75.1% | — |
| CritPt | 16.9% | — |
| Mystery Game Puzzles | 35% | — |
| DTBench | 92.5% | — |
| LMCA | 50% | — |
| Surface Evolver Bench | 60% | — |
| Bench to the Future 3 | 0.14 | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 61.1 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Claude Sonnet 5 leads
Claude Sonnet 5: 66.2 (#27), Llama 2-7B: 30.7 (#233)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1467 | 1042 |
| FrontierMath (Tiers 1-3) | 65.6% | — |
| FrontierMath Tier 4 | 29.3% | — |
| OTIS Mock AIME 2024-2025 | 94.7% | — |
| ProofBench | 77% | — |
| GSM8K | — | 16.7% |
Knowledge Claude Sonnet 5 leads
Claude Sonnet 5: 55.6 (#47), Llama 2-7B: 28.2 (#248)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1490 | 1036 |
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 33.7% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Claude Sonnet 5: 42.4 (#31), Llama 2-7B: —
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1274 | — |
| Blueprint-Bench 2 | 24.9% | — |
| LMArena Document | 1466 | — |
| ScienceQA | — | 43.1% |
Multilingual Claude Sonnet 5 leads
Claude Sonnet 5: 53.8 (#55), Llama 2-7B: 23.8 (#293)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1431 | 973 |
| LMArena Chinese | 1477 | 973 |
| LMArena French | 1460 | 970 |
| LMArena German | 1440 | 978 |
| LMArena Russian | 1451 | 995 |
| LMArena Spanish | 1437 | 1007 |
| LMArena Japanese | 1422 | — |
| LMArena Korean | 1411 | — |
Instruction Following Claude Sonnet 5 leads
Claude Sonnet 5: 76.3 (#41), Llama 2-7B: 50.8 (#298)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1452 | 1006 |
Long Context Claude Sonnet 5 leads
Claude Sonnet 5: 44.8 (#55), Llama 2-7B: 30.4 (#287)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1463 | 999 |
Writing & Preference Claude Sonnet 5 leads
Claude Sonnet 5: 69.2 (#25), Llama 2-7B: 28.0 (#298)
| Benchmark | Claude Sonnet 5 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1442 | 1053 |
| LMArena Creative Writing | 1416 | 1033 |
| LMArena Multi-Turn | 1454 | 1029 |
| EQ-Bench Creative Writing | 1794 | — |
| EQ-Bench 4 | 1236 | — |
Frequently asked questions
Is Claude Sonnet 5 better than Llama 2-7B?
Claude Sonnet 5 is the stronger model overall, scoring 54.6 to 29.1 on the Noometry Index.
Is Claude Sonnet 5 or Llama 2-7B better for coding?
Claude Sonnet 5 scores higher on coding benchmarks: 55.5 versus 29.2 in the Noometry coding category.
How many benchmarks do Claude Sonnet 5 and Llama 2-7B share?
17 benchmarks have published results for both models. Claude Sonnet 5 has 51 scored results on Noometry and Llama 2-7B has 29.