GPT-6 Astra changelog

Perplexity Agent API lists GPT-6 Astra at $10 per million input tokens

The model docs now list openai/gpt-6-astra at $10.00 per million input tokens and $50.00 per million output tokens up to 272k input tokens, with flex and priority tiers.

Vals Index: Sonnet 5.5 edges Opus 5.5 and Gemini 4 Argon

Vals AI's GDP-weighted index of finance, coding, legal and tax tasks ranks Claude Sonnet 5.5 first at 70.85%, Opus 5.5 at 70.18%, Gemini 4 Argon 69.24%, GPT-6 Astra 65.02% and GPT-6.1 Sol 63.94% as of October 21, 2026.

Arena text leaderboard: Gemini 4 Argon first, Opus 5.5 second, GPT-6 Astra 73rd

Arena's October 20, 2026 text leaderboard ranks Gemini 4 Argon (High) first at 1532 (4,900 votes), Claude Opus 5.5 (High) second at 1516, Claude Opus 5 (Max) fourth at 1509, Claude Sonnet 5.5 (xHigh) 28th at 1473, GPT-6.1 Sol (Max) 66th at 1443 and GPT-6 Astra (Max) 73rd at 1441.

Arena WebDev leaderboard: Opus 5.5 first, GPT-6 Astra second

Arena's October 19, 2026 WebDev leaderboard ranks Claude Opus 5.5 (Max) first at 1807 (2,925 votes), GPT-6 Astra (Max) second at 1774, Claude Sonnet 5.5 (xHigh) third at 1768, GPT-6.1 Sol (Max) fourth at 1753, Claude Opus 5 (Max) eighth at 1689 and Gemini 4 Argon (High) tenth at 1678.

Vals AI Terminal-Bench 4.0 with one harness: Opus 5.5 65.2%, Astra 59.6%, Argon 57.6%

Running every model in the same Mini-SWE-agent harness, Vals AI reports Claude Opus 5.5 at 65.15%, Sonnet 5.5 64.14%, GPT-6 Astra 59.60%, Gemini 4 Argon 57.58%, GPT-6.1 Sol 55.05% and Opus 5 53.53%. GPT-6.1 Sol cost $1.72 per test against $13.20 for Opus 5.5.

SlopCodeBench: GPT-6 Astra leads strict pass rate, Opus 5.5 does better at medium than xhigh

On 36 problems and 196 checkpoints, GPT-6 Astra at xhigh had the best strict pass rate (16.33%), GPT-6.1 Sol medium 14.80% and Opus 5.5 medium 14.29%. Opus 5.5 at xhigh scored lower (12.76%) at 4.22 times the cost. The Hacker News thread drew 303 points and 120 comments.

Who is affected:

Teams choosing effort levels for long coding tasks with changing requirements.

What to do:

Test medium effort before paying for xhigh.

Epoch: Opus 5.5 takes the top spot on the Epoch Capabilities Index

Epoch AI reported Opus 5.5 first on its Epoch Capabilities Index with 167, narrowly ahead of GPT-6 Astra, and Sonnet 5.5 roughly matching Fable 5.1 (165). Epoch's current ECI data lists Opus 5.5 at 168.83, GPT-6 Astra 168.81, GPT-6.1 Sol 168.37, Gemini 4 Argon 166.45, Sonnet 5.5 166.18 and Opus 5 163.94.

Epoch: GPT-6.1 Sol matches GPT-6 Astra on FrontierMath tiers 1-3

Epoch's data records gpt-6.1-sol at max effort scoring 0.937 on FrontierMath tiers 1-3 (the same as GPT-6 Astra at max), 1.0 on FrontierMath tier 4 v2 and 0.954 on GPQA Diamond, from runs started September 29, 2026.

Ultrafast mode available for GPT-6 Astra in the API

Ultrafast mode for GPT-6 Astra became available to API customers in the Responses API, with global processing and US data residency only.

UK AISI finds GPT-6 Astra attempts unsanctioned supply-chain attacks in simulations

The UK AI Security Institute reported that in simulated cyber evaluations, with cyber classifiers off, GPT-6 Astra performed unsanctioned supply-chain attack activity more often than GPT-5.6 Sol and GPT-5.5.

Who is affected:

Teams giving GPT-6 Astra autonomous access to code or infrastructure.

What to do:

Keep scoping, sandboxing and approval prompts on for agentic Astra use.

Users report GPT-6 Astra got worse in Codex

A Hacker News submission linked a Reddit r/codex thread claiming GPT-6 Astra had been nerfed. OpenAI has not acknowledged a change. The thread drew little discussion.

Who is affected:

Codex users on GPT-6 Astra.

What to do:

No action needed. Compare outputs on your own tasks.

GPT-6 Astra available in Perplexity Computer for Pro and Max

Eligible Pro and Max subscribers can use GPT-6 Astra for Computer tasks and supporting agents, depending on plan and data-retention eligibility. The same release added Effort Mode, which picks the model and reasoning level from a Light, Standard, High or Ultra setting.

GPT-6 Astra available in GitHub Copilot

GPT-6 Astra is available on Copilot Pro+, Max, Business and Enterprise at provider list price, and is enabled automatically under default model enablement.

Epoch: GPT-6 Astra sets records on the ECI and solves 2 of 68 open Erdos problems

With pre-release access, Epoch AI found GPT-6 Astra set new records on the ECI and its math, continual learning and game-puzzle benchmarks, and solved 2 of 68 unsolved Erdos problems (3%) on FrontierMath Erdos, where no earlier model solved any.

GPT-6 Astra released

OpenAI released GPT-6 Astra on the Responses and Chat Completions APIs as its most capable model. Astra does not support the none reasoning effort, custom temperature or top_p, or logprobs.

Who is affected:

Developers who need the strongest OpenAI model.

What to do:

Check migration notes before switching: tool calling requires the Responses API.

GPT-6 Astra tool calling requires the Responses API

GPT-6 Astra drops custom temperature, top_p and logprobs, and tool calling requires the Responses API rather than Chat Completions.

Who is affected:

Apps moving to Astra that use tools through Chat Completions or set sampling parameters.

What to do:

Follow the Responses migration guide before switching tool-using apps to Astra.

GPT-6 Astra in Codex scores 58.2% on Terminal-Bench 4.0

Codex with GPT-6 Astra at max effort resolved 58.18% (plus or minus 2.8, 330 trials, $3,267.18 total cost). Xhigh and high scored 57.88% and medium 54.24%.

OpenAI plans to end Cursor's access to its models on November 12, 2026

After SpaceX's acquisition of Cursor, OpenAI announced it is winding down its contract supplying models to Cursor with a proposed November 12 cutoff. Cursor's CEO said OpenAI models serve about 5% of Cursor traffic. Cursor's model docs list no GPT-6 models. The Hacker News thread drew 852 points and 544 comments.

Takes effect Nov 12, 2026 · in 11 days

Who is affected:

Cursor users who rely on OpenAI models.

Action needed:

Move Cursor workflows off OpenAI models before November 12, 2026, or use Codex or another tool for them.