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Language modelLimited access

GPT-6 Astra

OpenAI

Released
September 3, 2026
Data date
September 4, 2026

Category view

Position within the category

This overview uses only published data from matching cohorts. Missing values never change a rank.

This model does not yet have enough published values for an overall rank. It covers 3 of 4 required comparison cohorts.

Coverage
3 / 4

Leaderboard

1Claude Opus 588.9 / 100
2Gemini 3.8 Flash88.5 / 100
3Claude Fable 583.2 / 100
25MiMo-V2.5-Pro12.5 / 100
GPT-6 Astra, Current modelNot ranked

Individual values

Published individual values

No exactly matching published comparison cohort is available for these values. The bar shows only the documented scale, not a rank.

GPQA Diamond

Data date: September 4, 2026

GPQA Diamond96%

Scale 0 to 100. Not ranked

Vendor-reported score published by OpenAI. Not a Gradually test.

Editorial selection from the vendor table, not a complete extract of the comparison cohort.

Terminal-Bench 4.0

Data date: September 4, 2026

Terminal-Bench 4.057.9%

Scale 0 to 100. Not ranked

Vendor-reported score published by OpenAI. Not a Gradually test.

Editorial selection from the vendor table, not a complete extract of the comparison cohort.

OSWorld 2.0

Data date: September 4, 2026

OSWorld 2.072.6%

Scale 0 to 100. Not ranked

Vendor-reported score published by OpenAI. Not a Gradually test.

Editorial selection from the vendor table, not a complete extract of the comparison cohort.

Profile

Specifications and access

Published information about this model. Unknown values are not estimated.

Model type
ProprietarySource
Context window
1,050,000 tokensSource
Knowledge cutoff
April 30, 2026Source
Notes
New OpenAI flagship with a 1.05 million token context window, 128,000 maximum output tokens, and an April 30, 2026 knowledge cutoff. Access has been rolling out in phases since September 3, 2026. OpenAI has not announced smaller GPT-6 variants.Source

Pricing

Published prices

Prices remain tied to their documented unit and source.

API input
$10 per 1M tokensSource
API input
$20 per 1M tokens (above 272,000 context tokens)Source
API output
$50 per 1M tokensSource
API output
$75 per 1M tokens (above 272,000 context tokens)Source
Cache write
$12.5 per 1M tokensSource
Cache write
$25 per 1M tokens (above 272,000 context tokens)Source
Cache read
$1 per 1M tokensSource
Cache read
$2 per 1M tokens (above 272,000 context tokens)Source

Head-to-head comparisons

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Evidence

Primary sources and data date

Every statement links to its underlying documentation or leaderboard.