GPT-5.4 mini

openai · openai/gpt-5.4-mini

Strong small GPT for coding subagents, quick tool use, and high-volume work

≈267k Chinese characters of context · Reads images · Step-by-step reasoning · Calls tools / agents · Structured JSON output

Read a 200,000-Chinese-character book and write a 2,000-Chinese-character summary: about $0.24

An order-of-magnitude estimate at 1.5 tokens per Chinese character and the vendor's own rate — not a quote. Full method: the glossary on the AI Models page.

Specs

Context400,000(≈267k Chinese characters)
Max output128,000
Structured outputYes
Open weightsNo
Released2026-03-17

Source: models.dev snapshot 2026-08-29

Who serves it, at what price

ProviderIn /MOut /MCache read /M
OpenAIfirst-party$0.75$4.5$0.075
302.AI$0.75$4.5
Abacus$0.75$4.5$0.075
AIHubMix$0.75$4.5$0.075
Azure$0.75$4.5$0.075
Azure Cognitive Services$0.75$4.5$0.075
FreeModel$0.75$4.5$0.075
GitHub Copilot$0.75$4.5$0.075
DevPass (LLM Gateway)$0.75$4.5$0.075
Model Oracle AI
OpenCode Zen$0.75$4.5$0.075
Pioneer$0.75$4.5$0.075
Requesty$0.75$4.5$0.075
Vivgrid$0.75$4.5$0.075
Xpersona$0.375$4$0.0375

Rows tagged “first-party” are the model vendor's own pricing; untagged rows are resale channels and may differ.

When to choose it

We have not assessed this model. It comes from the full models.dev snapshot — the specs are the vendor's published figures, and a price is the vendor's own only on rows tagged first-party; the rest are resale channels. The fit is simply not something anyone here has written.

Leaderboard

Not yet on any leaderboard we track. That does not mean the model performs poorly — it means we have not taken this snapshot for it yet, and we do not publish a score we have not measured.