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Head to head

Gemini 1.0 Ultra vs Inflection-2

Google DeepMind
Gemini 1.0 Ultra
December 2023
vs
Inflection AI
Inflection-2
November 2023
5×10²⁵Training compute (FLOP)10²⁵
$31MTraining cost$13M

Gemini 1.0 Ultra (Google DeepMind) and Inflection-2 (Inflection AI) are both frontier AI models. Gemini 1.0 Ultra was published in December 2023 and Inflection-2 in November 2023.

Gemini 1.0 Ultra was trained on 5×10²⁵ FLOP, about 5.0x the compute of Inflection-2 at 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.

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
Google DeepMind
Organization
Inflection AI
Dec 6, 2023
Published
Nov 22, 2023
5×10²⁵ FLOP
Training compute5.0x
10²⁵ FLOP
Google TPU v4
Training hardware
NVIDIA H100 SXM5 80GB
57,000
Chips used11x
5,000
2,400 h
Training time
--
$31M
Training cost (2023 USD)2.3x
$13M
38.4 MW
Training power draw
6.9 MW
API access
Accessibility
Hosted access (no API)
No
Open weights
No
United States
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.