Model comparison
Claude Opus 5.5 vs Llama 3.1-405B
Claude Opus 5.5 is the stronger model overall, scoring 68.6 to 30.7 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Claude Opus 5.5 scores higher in 9 categories and Llama 3.1-405B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5.5 leads 91.8 to 18.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Opus 5.5 and 9.7% for Llama 3.1-405B.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5.5 | Llama 3.1-405B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 68.6 | 30.7 |
| Released | 2026-09-22 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $4 | — |
| Output $ / M tokens | $20 | — |
| Results tracked | 44 | 42 |
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Category by category
Coding Claude Opus 5.5 leads
Claude Opus 5.5: 71.9 (#3), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Coding | 1547 | 1291 |
| FrontierCode | 54.6% | — |
| CursorBench | 57.8% | — |
| LMArena WebDev | 1813 | — |
| FrontierSWE | 62.3% | — |
| SciCode | 66.9% | — |
| WeirdML | — | 21.4% |
| MirrorCode | 77.4% | — |
| ALE-Bench | 2,147 | — |
Agentic & Tool Use Claude Opus 5.5 leads
Claude Opus 5.5: 45.3 (#15), Llama 3.1-405B: 21.0 (#140)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| APEX-Agents | 73.5% | — |
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
| GDP.pdf | 30.6% | — |
| Vending-Bench 2 | 9,235 | — |
Reasoning Claude Opus 5.5 leads
Claude Opus 5.5: 80.2 (#3), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1535 | 1269 |
| DTBench | 98.9% | 61.4% |
| Epoch Capabilities Index | 167.33 | 128.75 |
| ARC-AGI-2 | 93.3% | — |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| NYT Connections (extended) | 88.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 71.4% | — |
| Mystery Game Puzzles | 71% | — |
| LMCA | 68.2% | — |
| BIG-Bench Hard | — | 82.9% |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Claude Opus 5.5 leads
Claude Opus 5.5: 91.8 (#3), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 9.7% |
| LMArena Math | 1506 | 1281 |
| FrontierMath (Tiers 1-3) | 91.2% | — |
| FrontierMath Tier 4 | 95% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 24.9% |
| MATH Level 5 | — | 49.8% |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Opus 5.5 leads
Claude Opus 5.5: 66.4 (#10), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| GPQA Diamond | 90.6% | 50.9% |
| LMArena Expert | 1547 | 1243 |
| SimpleQA Verified | 72.2% | — |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| GPQA (HELM) | — | 52.2% |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
Claude Opus 5.5: 57.8 (#1), Llama 3.1-405B: —
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1321 | — |
| Blueprint-Bench 2 | 51.2% | — |
| Furniture Assembly | 83.3% | — |
Multilingual Claude Opus 5.5 leads
Claude Opus 5.5: 59.1 (#2), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1507 | 1248 |
| LMArena Chinese | 1588 | 1242 |
| LMArena French | 1514 | 1279 |
| LMArena Russian | 1520 | 1265 |
| LMArena Spanish | 1507 | 1260 |
| LMArena German | — | 1252 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1184 |
Instruction Following Claude Opus 5.5 leads
Claude Opus 5.5: 80.0 (#3), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Instruction Following | 1537 | 1259 |
| IFEval | — | 81.1% |
Long Context Claude Opus 5.5 leads
Claude Opus 5.5: 47.1 (#19), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1532 | 1266 |
Writing & Preference Claude Opus 5.5 leads
Claude Opus 5.5: 78.2 (#3), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Claude Opus 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1515 | 1284 |
| LMArena Creative Writing | 1533 | 1262 |
| EQ-Bench Creative Writing | 2050 | 870 |
| LMArena Multi-Turn | 1499 | 1297 |
| WildBench | — | 78.3% |
Frequently asked questions
Is Claude Opus 5.5 better than Llama 3.1-405B?
Claude Opus 5.5 is the stronger model overall, scoring 68.6 to 30.7 on the Noometry Index.
Is Claude Opus 5.5 or Llama 3.1-405B better for coding?
Claude Opus 5.5 scores higher on coding benchmarks: 71.9 versus 33.1 in the Noometry coding category.
How many benchmarks do Claude Opus 5.5 and Llama 3.1-405B share?
19 benchmarks have published results for both models. Claude Opus 5.5 has 44 scored results on Noometry and Llama 3.1-405B has 42.