GPT 3.5 Turbo 0301

Price history

Historical rates apply to the named model version and price schedule. They do not imply this model is still available or that an API alias still serves the same version.

Each source has its own history. We don’t join conflicting sources into a single price trend. Standard input prices exclude cache discounts.

When live checks began

These are the earliest and latest successful checks we can prove from our retained polling records. Reconstructing an older price never moves these timestamps backward.

A baseline of these monitoring records was preserved on 2026-09-18. The current checks below may be newer.

A successful check of this exact listing has not been established. Stored price observations can still appear above; they do not prove continued availability. Sources are checked daily.

Launches & price changes

A reconstruction from dated sources. The effective date, publication date, and date we added the evidence are recorded separately. Coverage is incomplete; an absent event does not prove nothing changed.

1. 2024-01-26 – 2024-02-02First catalog listingstandard

   Archived capture of the OpenAI pricing page on 2024-02-02 lists gpt-3.5-turbo-0301 at $1.5 input / $2 output per million tokens. The previous kept capture on 2024-01-26 did not list this model; the listing began within that range, which is capture spacing, not a launch or effective date.

   USD / 1M tokens: input $1.5 · output $2

   Published 2024-02-02 · Added to our history 2026-09-29 · Effective date is uncertain within the range shown

   • Internet Archive Wayback Machine — Wayback Machine capture read by the archive parser; standard token table only. The previous kept capture on 2024-01-26 did not list this model; the listing began within that range, which is capture spacing, not a launch or effective date. Archived copy

Benchmarks

Results depend on reasoning effort, tools, and evaluation setup. Check the original report before comparing scores across models.

No benchmark scores in our tracked feed for this exact model yet. This does not mean the model scored zero.