Live
Head to head

Falcon-180B vs Llama Nemotron Ultra 253B

Technology Innovation Institute
Falcon-180B
September 2023
vs
3.8×10²⁴Training compute (FLOP)3.9×10²⁵
$11MTraining cost--

Falcon-180B (Technology Innovation Institute) and Llama Nemotron Ultra 253B (NVIDIA) are both frontier AI models. Falcon-180B was published in September 2023 and Llama Nemotron Ultra 253B in March 2025.

Llama Nemotron Ultra 253B was trained on 3.9×10²⁵ FLOP, about 10.4x the compute of Falcon-180B at 3.8×10²⁴ 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.

These two models share no benchmark on which both have been scored, so no direct performance comparison is possible here. The specification table below is a comparison of inputs, not of results.

Specifications
Technology Innovation Institute
Organization
NVIDIA
Sep 6, 2023
Published
Mar 18, 2025
3.8×10²⁴ FLOP
Training compute10x
3.9×10²⁵ FLOP
180B
Parameters1.4x
253B
3.5T
Dataset size5.8x
603B
NVIDIA A100 SXM4 40 GB
Training hardware
--
4,096
Chips used
--
4,320 h
Training time
--
$11M
Training cost (2023 USD)
--
3.3 MW
Training power draw
--
Open weights (restricted use)
Accessibility
Open weights (restricted use)
Yes
Open weights
Yes
United Arab Emirates
Country
United States
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.