GPT

OpenAI · flagship line

15 releases since 2020Latest: GPT-6 Astra

Where the line stands

How long it has been since the last release against the line's usual gap and its recent ones — the rhythm, not a date.

GPT-6 Astra

OpenAI · GPT line · flagship
Just releasedreleased 6 days ago — usual gap is ~56

OpenAI's new flagship: far fewer made-up answers and a third of the tokens on coding-agent work, but the same overall score as GPT-5.6 Sol — at 2.5 times the price.

Released Sep 3, 2026 · what changed →
Days since last release
GPT-6 Astra · Sep 3, 2026
6
days
Usual gap
56
days
Recent gaps
GPT-5.6 Sol · Jul 2026
56
GPT-5.5 · Apr 2026
77
GPT-5.4 · Mar 2026
49
GPT-5.2 · Dec 2025
84

Every GPT release

Newest first — what each version changed versus the one before, in OpenAI's own numbers.

Sep
3

OpenAI's new flagship: far fewer made-up answers and a third of the tokens on coding-agent work, but the same overall score as GPT-5.6 Sol — at 2.5 times the price.

Compared with GPT-5.6 Sol · the model it replaces

Invents facts on half as many trick questions

AA hallucination rate — how often it makes up an answer instead of admitting it doesn't know

51%

down from 92% · 41 points fewer

Uses about a third of the tokens on coding-agent tasks

AA Coding Agent Index, max effort — text consumed per task

~⅓ tokens

vs GPT-5.6 Sol · 70% more token-efficient

Costs 2.5 times more to run than Sol

Price per 1M tokens — what developers pay, input / output

$10 / $50

up from $4 / $20 · 2.5× the price

Jul
9

The most capable of the three GPT-5.6 models (Sol, Terra and Luna), priced at $5 per million input tokens and $30 per million output tokens.

Sources: OpenAI · CNBC
Apr
23

OpenAI's GPT-5.5 roughly doubles its reasoning over very long documents and writes shorter answers than GPT-5.4 — but it costs twice as much to run.

Compared with GPT-5.4 · the model it replaces

Roughly doubles its reasoning over book-length documents

1M-token input — handling very long documents in one go

74.0%

up from 36.6% · roughly doubled

Writes shorter answers to long prompts

Output length — how much text the model produces

19-34% shorter

vs GPT-5.4 · same prompts

Costs developers twice as much to run

Price per 1M tokens — what developers pay, input / output

$5 / $30

price doubled — was $2.50 / $15

Sources: OpenAI · llm-stats

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