라이브
Head to head

GPT-4.5 vs Llama 3.1-405B

OpenAI
GPT-4.5
February 2025
vs
Meta AI
Llama 3.1-405B
July 2024
3.8×10²⁶Training compute (FLOP)3.8×10²⁵
137.6Capability index129
$366MTraining cost$53M
Benchmarks won (1 scored on both)
1 GPT-4.5Llama 3.1-405B 0

GPT-4.5 (OpenAI) and Llama 3.1-405B (Meta AI) are both frontier AI models. GPT-4.5 was published in February 2025 and Llama 3.1-405B in July 2024.

GPT-4.5 was trained on 3.8×10²⁶ FLOP, about 10.0x the compute of Llama 3.1-405B at 3.8×10²⁵ FLOP. Training compute is the closest available proxy for how much was invested in a model, though it says nothing on its own about how well that compute was spent.

GPT-4.5 wins the single benchmark both were scored on. Benchmark counts are a crude scoreboard — the evaluations differ wildly in what they measure and in how saturated they are — so the per-benchmark table below matters more than the tally.

Specifications
OpenAI
Organization
Meta AI
Feb 27, 2025
Published
Jul 23, 2024
3.8×10²⁶ FLOP
Training compute10x
3.8×10²⁵ FLOP
--
Parameters
405B
--
Dataset size
15.6T
--
Training hardware
NVIDIA H100 SXM5 80GB
--
Chips used
16,384
3,000 h
Training time
2,142 h
$366M
Training cost (2023 USD)6.9x
$53M
--
Training power draw
22.6 MW
API access
Accessibility
Open weights (restricted use)
No
Open weights
Yes
United States
Country
United States
Shared benchmarks
Related comparisons
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.