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Llama 3.1-405B
About Llama 3.1-405B
Llama 3.1-405B is an AI model developed by Meta AI, in the language category, released in 2024, made available as an open-weights model with 405B params.
On this page you'll find Llama 3.1-405B's full specifications, including 24 benchmark results. Review provider pricing and benchmark scores below, or compare Llama 3.1-405B head-to-head with other language models.
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Run Llama 3.1-405B locally — what it takes
Llama 3.1-405B (405B) is too large to run on a single consumer or Apple machine. At Q4 its weights alone are about 227 GB — it needs a multi-GPU / datacenter setup:
- ≈ 1× AMD Instinct MI325X
- ≈ 2× NVIDIA B200
Lower quantization (Q3/Q2) or CPU + system-RAM offload (e.g. ktransformers) reduces the requirement at the cost of speed.
Software support
✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.
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Llama 3.1-405B benchmark scores▶
| Benchmark | Category | Score | Variant |
|---|---|---|---|
| HumanEval | code | 95.9% | instruct-pass@10-cited-tulu3 |
| HumanEval | code | 89% | instruct-cited-nvlm |
| HumanEval | code | 89% | instruct-cited-minimax-text |
| HumanEval+ | code | 90.3% | instruct-pass@10-cited-tulu3 |
| MBPP+ | code | 73% | instruct-plus-cited-minimax-text |
| AlpacaEval 2 | general | 38.5% | instruct-lc-win-cited-tulu3 |
| ArenaHard | general | 63.5% | instruct-cited-minimax-text |
| IFEval | general | 88.4% | instruct-cited-tulu3 |
| IFEval | general | 86.4% | instruct-avg-cited-minimax-text |
| MMLU | general | 88.6% | instruct-cited-minimax-text |
| MMLU | general | 88% | instruct-cited-tulu3 |
| MMLU | general | 87.3% | instruct-cited-nvlm |
| MMLU-Pro | general | 73.3% | instruct-cited-minimax-text |
| GSM8K | math | 96.8% | instruct-cited-nvlm |
| GSM8K | math | 96.7% | instruct-cited-minimax-text |
| GSM8K | math | 95.4% | instruct-cited-tulu3 |
| MATH | math | 73.8% | instruct-cited-nvlm |
| MATH | math | 73.8% | instruct-cited-minimax-text |
| MATH | math | 66.6% | instruct-cited-tulu3 |
| BIG-Bench Hard | reasoning | 87.1% | instruct-cited-tulu3 |
| DROP | reasoning | 92.5% | instruct-f1-cited-minimax-text |
| GPQA Diamond | reasoning | 50.7% | instruct-diamond-cited-minimax-text |
| C-SimpleQA | safety | 54.7% | instruct-cited-minimax-text |
| SimpleQA | safety | 23.2% | instruct-cited-minimax-text |
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Frequently asked questions
What is Llama 3.1-405B? ▶
Llama 3.1-405B is an AI model developed by Meta AI, in the language category, released in 2024. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created Llama 3.1-405B? ▶
Llama 3.1-405B was developed by Meta AI and released in 2024.
Is Llama 3.1-405B open source or proprietary? ▶
Llama 3.1-405B ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does Llama 3.1-405B cost? ▶
Pricing for Llama 3.1-405B depends on the provider. See the providers table on this page for the latest API rates.
How does Llama 3.1-405B perform on benchmarks? ▶
Llama 3.1-405B is benchmarked across 24 evaluations on GenAIList, including HumanEval (95.9%). See the full benchmark table below and compare it with other models.
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