Meta model product
Llama 3.1 405B Instruct is a large language model optimized for multilingual dialogue use cases. It outperforms many available open source and closed chat models on common industry benchmarks. The model supports 8 languages and has a 128K token context length.
Updated Aug 10, 2026. Default version: Llama 3.1 405B Instruct
Structured fields from the published default version.
This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.
Published benchmark records for the scored version Llama 3.1 405B Instruct.
| API-Bank | 0.9 | 1 | 3 | 100.0% | C | |
| BFCL | 0.9 | 1 | 11 | 100.0% | C | |
| Gorilla Benchmark API Bench | 0.4 | 1 | 3 | 100.0% | C | |
| MBPP EvalPlus | 0.9 | 1 | 2 | 100.0% | C | |
| MMLU (CoT) | 0.9 | 1 | 3 | 100.0% | C | |
| Multilingual MGSM (CoT) | 0.9 | 1 | 3 | 100.0% | C | |
| Multipl-E HumanEval | 0.8 | 1 | 3 | 100.0% | C | |
| Multipl-E MBPP | 0.7 | 1 | 3 | 100.0% | C | |
| Nexus | 0.6 | 1 | 4 | 100.0% | C | |
| ARC-C | 1.0 | 2 | 34 | 97.0% | C | |
| GSM8k | 1.0 | 5 | 48 | 91.5% | C | |
| DROP | 0.8 | 7 | 30 | 79.3% | C | |
| HumanEval | 0.9 | 19 | 76 | 76.0% | C | |
| IFEval | 0.9 | 25 | 65 | 62.5% | C | |
| MMLU | 0.9 | 26 | 100 | 74.8% | C | |
| MATH | 0.7 | 30 | 71 | 58.6% | C | |
| MMLU-Pro | 0.7 | 76 | 129 | 41.4% | C | |
| GPQA | 0.5 | 174 | 233 | 25.4% | C |
Preference and agent-evaluation signals from published Arena datasets.
The default version has no published Arena rows, or its source alias has not been resolved.
Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.
| Cortecs | llama-3.1-405b-instruct | global | $1.95 | $1.95 | 128K |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.
| Llama 3.1 405B Instruct | 69.9 | 405B | 128K | 128K | No | Llama 3.1 Community License |
A concise description based on the published model registry.
Llama 3.1 405B Instruct is a large language model optimized for multilingual dialogue use cases. It outperforms many available open source and closed chat models on common industry benchmarks. The model supports 8 languages and has a 128K token context length.
Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.
Data snapshot: 2026-08-07. Editorial model content is not available in the backend.
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest published LLMBoard score.
Common questions about Llama 3.1 405B.
Llama 3.1 405B's default version was released on Jul 23, 2024.
No official standard PAYG price is currently available for Llama 3.1 405B. The lowest tracked third-party offer starts at $1.95 input and $1.95 output via Cortecs.
Llama 3.1 405B is published under Meta in the model registry.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
1 published provider offerings are linked to the default version.
Nearby ranked alternatives include DeepSeek-V4-Flash, Kimi K2.5, GPT-5.