# Claude Opus 5.5 vs Llama 13b

> Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 23.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-opus-5-5-vs-llama-13b
- Last updated: 2026-10-10
- Shared benchmarks: 7

## Summary

- They share 7 benchmarks with published results for both. Claude Opus 5.5 scores higher in 6 categories and Llama 13b in 0 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5.5 leads 92.4 to 24.4.
- Llama 13b has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 68.5 | 23.9 |
| Rank | 3 | 344 |
| Context | 1M | — |
| Input $/M | $4 | — |
| Output $/M | $20 | — |
| Weights | Proprietary | Open |

## Coding

- Claude Opus 5.5: 71.4 (#1)
- Llama 13b: 20.9 (#332)

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| LMArena Coding | 1545 | 683 |
| FrontierCode | 54.4% | — |
| CursorBench | 57.8% | — |
| LMArena WebDev | 1820 | — |
| FrontierSWE | 62.3% | — |
| SciCode | 66.9% | — |
| MirrorCode | 77.4% | — |

## Agentic & Tool Use

- Claude Opus 5.5: 45.3 (#13)
- Llama 13b: —

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| APEX-Agents | 73.5% | — |
| GDP.pdf | 30.6% | — |

## Reasoning

- Claude Opus 5.5: 79.5 (#2)
- Llama 13b: 13.4 (#327)

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| LMArena Hard Prompts | 1545 | 728 |
| ARC-AGI-2 | 92.5% | — |
| NYT Connections (extended) | 88.5% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 71.4% | — |
| Mystery Game Puzzles | 71% | — |
| DTBench | 98.9% | — |
| LMCA | 68.2% | — |
| BIG-Bench Hard | — | 37.9% |
| Epoch Capabilities Index | — | 100.09 |
| HellaSwag | — | 79.2% |
| LAMBADA | — | 75.2% |
| PIQA | — | 80.1% |
| WinoGrande | — | 73% |

## Math

- Claude Opus 5.5: 92.4 (#2)
- Llama 13b: 24.4 (#259)

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 91.2% | — |
| FrontierMath Tier 4 | 95% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| LMArena Math | — | 838 |
| GSM8K | — | 20.6% |

## Knowledge

- Claude Opus 5.5: 66.6 (#9)
- Llama 13b: —

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| GPQA Diamond | 90.6% | — |
| SimpleQA Verified | 72.2% | — |
| LMArena Expert | 1564 | — |
| ARC (AI2) Challenge | — | 52.7% |
| BoolQ | — | 78.7% |
| MMLU | — | 47.7% |
| OpenBookQA | — | 56.4% |
| TriviaQA | — | 77.9% |

## Multimodal

- Claude Opus 5.5: 56.5 (#2)
- Llama 13b: —

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| Furniture Assembly | 83.3% | — |
| ScienceQA | — | 43.3% |

## Multilingual

- Claude Opus 5.5: 59.8 (#1)
- Llama 13b: 16.8 (#292)

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| LMArena Non-English | 1513 | 819 |
| LMArena Chinese | 1572 | — |
| LMArena Russian | 1532 | — |

## Instruction Following

- Claude Opus 5.5: 80.1 (#2)
- Llama 13b: 36.9 (#300)

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| LMArena Instruction Following | 1535 | 781 |

## Long Context

- Claude Opus 5.5: 47.3 (#18)
- Llama 13b: —

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| LMArena Longer Query | 1540 | — |

## Writing & Preference

- Claude Opus 5.5: 78.7 (#3)
- Llama 13b: 13.9 (#307)

| Benchmark | Claude Opus 5.5 | Llama 13b |
|---|---|---|
| LMArena Text | 1518 | 834 |
| LMArena Creative Writing | 1538 | 794 |
| LMArena Multi-Turn | 1520 | 753 |
| EQ-Bench Creative Writing | 2050 | — |

## FAQ

### Is Claude Opus 5.5 better than Llama 13b?

Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 23.9 on the Noometry Index.

### Is Claude Opus 5.5 or Llama 13b better for coding?

Claude Opus 5.5 scores higher on coding benchmarks: 71.4 versus 20.9 in the Noometry coding category.

### How many benchmarks do Claude Opus 5.5 and Llama 13b share?

7 benchmarks have published results for both models. Claude Opus 5.5 has 35 scored results on Noometry and Llama 13b has 21.