# Claude Opus 4.7 vs Llama 13b

> Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 23.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-opus-4-7-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Claude Opus 4.7 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 Opus 4.7 leads 75.3 to 13.9.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 58.4 | 23.9 |
| Rank | 17 | 344 |
| Context | 1M | — |
| Input $/M | $5 | — |
| Output $/M | $25 | — |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 4.7: 59.9 (#10)
- Llama 13b: 20.9 (#332)

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Coding | 1519 | 683 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1557 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| MirrorCode | 31.1% | — |
| ALE-Bench | 1,323 | — |

## Agentic & Tool Use

- Claude Opus 4.7: 47.9 (#8)
- Llama 13b: —

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |

## Reasoning

- Claude Opus 4.7: 53.7 (#24)
- Llama 13b: 13.4 (#327)

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1507 | 728 |
| Epoch Capabilities Index | 156.39 | 100.09 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| BIG-Bench Hard | — | 37.9% |
| ForecastBench | 60.3 | — |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- Claude Opus 4.7: 66.5 (#20)
- Llama 13b: 24.4 (#259)

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Math | 1499 | 838 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 54% | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
| GSM8K | — | 20.6% |

## Knowledge

- Claude Opus 4.7: 62.6 (#20)
- Llama 13b: —

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
| LMArena Expert | 1521 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Claude Opus 4.7: 41.5 (#29)
- Llama 13b: —

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Vision | 1317 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
| ScienceQA | — | 43.3% |

## Multilingual

- Claude Opus 4.7: 57.5 (#9)
- Llama 13b: 16.8 (#292)

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1481 | 819 |
| LMArena Chinese | 1530 | — |
| LMArena French | 1505 | — |
| LMArena German | 1494 | — |
| LMArena Japanese | 1472 | — |
| LMArena Korean | 1466 | — |
| LMArena Russian | 1494 | — |
| LMArena Spanish | 1497 | — |

## Instruction Following

- Claude Opus 4.7: 78.6 (#9)
- Llama 13b: 36.9 (#300)

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1498 | 781 |

## Long Context

- Claude Opus 4.7: 46.1 (#24)
- Llama 13b: —

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1505 | — |

## Writing & Preference

- Claude Opus 4.7: 75.3 (#8)
- Llama 13b: 13.9 (#307)

| Benchmark | Claude Opus 4.7 | Llama 13b |
|---|---|---|
| LMArena Text | 1491 | 834 |
| LMArena Creative Writing | 1486 | 794 |
| LMArena Multi-Turn | 1506 | 753 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |

## FAQ

### Is Claude Opus 4.7 better than Llama 13b?

Claude Opus 4.7 is the stronger model overall, scoring 58.4 to 23.9 on the Noometry Index.

### Is Claude Opus 4.7 or Llama 13b better for coding?

Claude Opus 4.7 scores higher on coding benchmarks: 59.9 versus 20.9 in the Noometry coding category.

### How many benchmarks do Claude Opus 4.7 and Llama 13b share?

9 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Llama 13b has 21.