Model comparison
Claude Sonnet 4.6 vs Llama 13b
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 24.4 on the Noometry Index.
Last verified . 9 shared benchmarks.
MetaSummary
- They share 9 benchmarks with published results for both. Claude Sonnet 4.6 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 4.6 leads 70.2 to 13.8.
- Llama 13b has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Llama 13b | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 50.3 | 24.4 |
| Released | 2026-02-17 | 2023-02-24 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 21 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Llama 13b: 21.4 (#337)
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Coding | 1504 | 683 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Llama 13b: —
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Llama 13b: 14.0 (#329)
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1484 | 728 |
| Epoch Capabilities Index | 152.24 | 100.58 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 62 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Llama 13b: 26.7 (#256)
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Math | 1462 | 838 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
| GSM8K | — | 20.6% |
Knowledge Not comparable
Claude Sonnet 4.6: 51.7 (#65), Llama 13b: —
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Llama 13b: —
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
| ScienceQA | — | 43.3% |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Llama 13b: 16.6 (#297)
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1440 | 819 |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Llama 13b: 36.7 (#305)
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1475 | 781 |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#44), Llama 13b: —
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Llama 13b: 13.8 (#312)
| Benchmark | Claude Sonnet 4.6 | Llama 13b |
|---|---|---|
| LMArena Text | 1458 | 834 |
| LMArena Creative Writing | 1435 | 794 |
| LMArena Multi-Turn | 1464 | 753 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Llama 13b?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 24.4 on the Noometry Index.
Is Claude Sonnet 4.6 or Llama 13b better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 21.4 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and Llama 13b share?
9 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Llama 13b has 21.