Model comparison
Claude Sonnet 4.5 vs Llama 2-7B
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. Claude Sonnet 4.5 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 4.5 leads 66.5 to 28.0.
- The biggest single-benchmark swing is Chess Puzzles: 12% for Claude Sonnet 4.5 and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Llama 2-7B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 44.1 | 29.1 |
| Released | 2025-09-29 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 29 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Llama 2-7B: 29.2 (#307)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1489 | 1002 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), Llama 2-7B: —
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 26.9 (#125), Llama 2-7B: 15.7 (#312)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1462 | 1009 |
| Epoch Capabilities Index | 146.84 | 99.06 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 61.9 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 32.3 (#216), Llama 2-7B: 30.7 (#233)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Math | 1449 | 1042 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 16.7% |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#76), Llama 2-7B: 28.2 (#248)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1482 | 1036 |
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Llama 2-7B: —
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
| ScienceQA | — | 43.1% |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Llama 2-7B: 23.8 (#293)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1425 | 973 |
| LMArena Chinese | 1459 | 973 |
| LMArena French | 1458 | 970 |
| LMArena German | 1427 | 978 |
| LMArena Russian | 1437 | 995 |
| LMArena Spanish | 1457 | 1007 |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Llama 2-7B: 50.8 (#298)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1459 | 1006 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), Llama 2-7B: 30.4 (#287)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1476 | 999 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Llama 2-7B: 28.0 (#298)
| Benchmark | Claude Sonnet 4.5 | Llama 2-7B |
|---|---|---|
| LMArena Text | 1439 | 1053 |
| LMArena Creative Writing | 1442 | 1033 |
| LMArena Multi-Turn | 1465 | 1029 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Llama 2-7B?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 29.1 on the Noometry Index.
Is Claude Sonnet 4.5 or Llama 2-7B better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 29.2 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and Llama 2-7B share?
17 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Llama 2-7B has 29.