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Report: OpenAI Engineers Found Way to Cut Inference Costs by More Than Half

July 1, 2026 at 16:02 EDT

Infra & Chips
Foundation Models

OpenAI engineers told colleagues in early June 2026 that they had found a software optimization applicable to existing models that cuts inference costs by more than 50%, The Information reported.

June 2026 · OpenAI

OpenAI Engineers Say They've More Than Halved Inference Costs

A software-only optimization — no new hardware — applied to models already in service. On free logged-out ChatGPT traffic, the GPUs required briefly dropped to a "shockingly small number."

50%+

Reported cut in inference cost

~200

GPUs needed for logged-out traffic at peak of optimization

New hardware required — software-level gains only

Cost to serve the same query

More than half the cost removed with a software optimization

100%

Before

<50%

After

Why it matters

Inference is a recurring cost incurred on every query — the biggest drag on AI-lab profitability as consumer services scale.

Near-term impact

Works on existing models, so gains can land quickly.

Held closely

Treated as "secret sauce," shared narrowly to avoid leaks.

The opportunity

A ~50% cut opens a choice: lower prices or fatten margins
Signals the competitive axis shifting from capability to cost efficiency

The caveats

Technical details undisclosed — hard to generalize
Logged-out tier is a small share of total traffic
No confirmed official statement; whether paid plans benefit is unknown

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