Model comparison
Claude Sonnet 4.5 vs Llama 13b
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Claude Sonnet 4.5 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.5 leads 66.5 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Llama 13b | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 44.1 | 24.4 |
| Released | 2025-09-29 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Llama 13b: 21.4 (#337)
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Coding | 1489 | 683 |
| 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 13b: —
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| 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 13b: 14.0 (#329)
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1462 | 728 |
| Epoch Capabilities Index | 146.84 | 100.58 |
| 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% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 61.9 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 32.3 (#216), Llama 13b: 26.7 (#256)
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Math | 1449 | 838 |
| 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 | — | 20.6% |
Knowledge Not comparable
Claude Sonnet 4.5: 48.4 (#76), Llama 13b: —
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| 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% | — |
| LMArena Expert | 1482 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Llama 13b: —
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
| ScienceQA | — | 43.3% |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Llama 13b: 16.6 (#297)
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1425 | 819 |
| LMArena Chinese | 1459 | — |
| LMArena French | 1458 | — |
| LMArena German | 1427 | — |
| LMArena Japanese | 1390 | — |
| LMArena Korean | 1403 | — |
| LMArena Russian | 1437 | — |
| LMArena Spanish | 1457 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Llama 13b: 36.7 (#305)
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1459 | 781 |
| IFEval | 85% | — |
Long Context Not comparable
Claude Sonnet 4.5: 45.2 (#46), Llama 13b: —
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1476 | — |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Llama 13b: 13.8 (#312)
| Benchmark | Claude Sonnet 4.5 | Llama 13b |
|---|---|---|
| LMArena Text | 1439 | 834 |
| LMArena Creative Writing | 1442 | 794 |
| LMArena Multi-Turn | 1465 | 753 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Llama 13b?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 24.4 on the Noometry Index.
Is Claude Sonnet 4.5 or Llama 13b better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and Llama 13b share?
9 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Llama 13b has 21.