Model comparison
Claude Haiku 5.5 vs Llama 3.1-405B
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 30.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 4 categories and Llama 3.1-405B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 18.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Haiku 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 Haiku 5.5 | Llama 3.1-405B | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 49.5 | 30.7 |
| Released | 2026-10-07 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 9 | 42 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena WebDev | 1587 | — |
| WeirdML | — | 21.4% |
| LMArena Coding | — | 1291 |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, Llama 3.1-405B: 21.0 (#140)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| NYT Connections (extended) | 65.7% | — |
| LMArena Hard Prompts | — | 1269 |
| Mystery Game Puzzles | 30% | — |
| DTBench | — | 61.4% |
| BIG-Bench Hard | — | 82.9% |
| Epoch Capabilities Index | — | 128.75 |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 9.7% |
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| Omni-MATH | — | 24.9% |
| LMArena Math | — | 1281 |
| MATH Level 5 | — | 49.8% |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| GPQA Diamond | 89.6% | 50.9% |
| SimpleQA Verified | 23.8% | — |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| GPQA (HELM) | — | 52.2% |
| LMArena Expert | — | 1243 |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Llama 3.1-405B: —
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, Llama 3.1-405B: 40.7 (#214)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | — | 1248 |
| LMArena Chinese | — | 1242 |
| LMArena French | — | 1279 |
| LMArena German | — | 1252 |
| LMArena Japanese | — | 1208 |
| LMArena Korean | — | 1184 |
| LMArena Russian | — | 1265 |
| LMArena Spanish | — | 1260 |
Instruction Following Not comparable
Claude Haiku 5.5: —, Llama 3.1-405B: 65.9 (#214)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| IFEval | — | 81.1% |
| LMArena Instruction Following | — | 1259 |
Long Context Not comparable
Claude Haiku 5.5: —, Llama 3.1-405B: 38.4 (#197)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | — | 1266 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Llama 3.1-405B: 38.9 (#251)
| Benchmark | Claude Haiku 5.5 | Llama 3.1-405B |
|---|---|---|
| LMArena Text | — | 1284 |
| LMArena Creative Writing | — | 1262 |
| EQ-Bench Creative Writing | — | 870 |
| WildBench | — | 78.3% |
| LMArena Multi-Turn | — | 1297 |
Frequently asked questions
Is Claude Haiku 5.5 better than Llama 3.1-405B?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 30.7 on the Noometry Index.
Is Claude Haiku 5.5 or Llama 3.1-405B better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 33.1 in the Noometry coding category.
How many benchmarks do Claude Haiku 5.5 and Llama 3.1-405B share?
2 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Llama 3.1-405B has 42.