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GPT-5.4 Nano — Specs, Pricing & Limits

Specs

StatusPriced
Context window400,000 tokens
Max output128,000 tokens
Knowledge cutoffAug 31, 2025
Reasoning effort levelsNot published
Long-context ruleNot published

Pricing (short context)

Standard — input$0.200/MTok
Standard — cached input$0.020/MTok
Standard — cache writesNot published
Standard — output$1.25/MTok
Fast modeNot offered for this model

Rate limits by usage tier

FreeNot supported
Tier 1500 RPM · 200,000 TPM · 2,000,000 batch queue
Tier 25,000 RPM · 2,000,000 TPM · 20,000,000 batch queue
Tier 35,000 RPM · 4,000,000 TPM · 40,000,000 batch queue
Tier 410,000 RPM · 10,000,000 TPM · 1,000,000,000 batch queue
Tier 530,000 RPM · 180,000,000 TPM · 15,000,000,000 batch queue

GPT-5.4 Nano is the cheapest model this site prices, on every tier it publishes — and cheapest doesn't mean "smallest version of a bigger number" here; it comes with real, specific constraints worth checking before defaulting to it purely on price.

No Fast mode is offered for this model at all — of the models that skip Fast entirely, this is the one at the opposite end of the price spectrum from the other members of that group, which is worth knowing if your mental model of "which models skip Fast" assumes it's only the largest, most expensive ones. Its entry-tier token-per-minute ceiling is also under half of what most other current models get at the same tier, which matters more for a high-volume batch-style workload than for occasional low-volume calls.

No long-context repricing rule is published for this model, consistent with its context window sitting well under the threshold that makes the rule relevant in the first place — checked directly against its own page rather than assumed.

For a workload that's genuinely simple per-call and running at real volume — classification, short extraction, lightweight formatting — this is worth checking first specifically because the per-token savings compound fast at volume, provided the entry-tier throughput ceiling doesn't become the actual bottleneck before the price does.

The table below is computed directly from this site's facts module: pricing across every published service tier and the rate-limit table.

Verified 2026-08-09 against https://developers.openai.com/api/docs/models/gpt-5.4-nano.

Could not confirm: No >272K long-context repricing rule is stated on this model's own page.

Checked: https://developers.openai.com/api/docs/models/gpt-5.4-nano · https://developers.openai.com/api/docs/pricing