Which GPT-6 Astra conclusions hold up?

GPT-6 Astra: OpenAI's Official Five-Benchmark Comparison with GPT-5.6 Sol

OpenAI’s tables show GPT-6 Astra ahead of GPT-5.6 Sol on several computer-use, professional, coding, and science tasks, but the tool, latency, and cost footnotes are part of the evidence.

Source-specific observation

The OpenAI release compares Astra and GPT-5.6 Sol on Agents’ Last Exam, OSWorld 2.0, AutomationBench, BenchCAD, BrowseComp, and other tasks.

Published conditions

OSWorld includes latency simulation, BenchCAD uses tools, and cost/effort settings differ; prompts, seeds, failures, and complete traces are not public.

GPT-6 Astra: CodeRabbit's Cross-File Code Review and Cost Evaluation

CodeRabbit reports GPT-6 Astra on actionable bug coverage for overall and cross-file review samples, plus cost assumptions and a Godot project iteration; the full PR harness is unpublished.

Unverified: the original source could not be rechecked.

Source-specific observation

The September 4, 2026 CodeRabbit evaluation uses an overall set and a harder cross-file subset with actionable bug coverage as the metric.

Published conditions

Repositories, PR lists, labels, repeats, snapshot, and scoring script are not public; the cost example assumes 100k uncached input and 10k output tokens.

GPT-6 Astra: Field Report on 100K+ LOC Long-Horizon Tasks, Reasoning Tiers, and Fast Mode

A Codex user reports GPT-6 Astra running about 70 hours on a 100K+ LOC geometry-engine task without finishing and records High effort and quota use; it is personal field evidence.

Unverified: the original source could not be rechecked.

Source-specific observation

The September 8, 2026 r/codex report describes a 100K+ LOC geometry refactor, 3D GLB assets, and roughly 70 hours of execution.

Published conditions

Snapshot, full rollout, diff, token counts, and a common control task are unpublished; quota also includes other UI and optimization work.

GPT-6 Astra: Artificial Analysis Comparison of Intelligence, Speed, and Cost Across Six Reasoning Tiers

Artificial Analysis shows six GPT-6 Astra reasoning configurations with intelligence, time to first token, speed, and cost per task; the High/Max cost gap argues for task-based routing.

Unverified: the original source could not be rechecked.

Source-specific observation

The snapshot is dated September 8, 2026 and separates first-party API output speed from weighted cost per task across six effort configurations.

Published conditions

The page shows a Non-reasoning label while OpenAI’s model page does not support none; request parameters, repeats, and snapshots need confirmation.

GPT-6 Astra: OpenAI's Official Five-Benchmark Comparison with GPT-5.6 Sol

OpenAI’s tables show GPT-6 Astra ahead of GPT-5.6 Sol on several computer-use, professional, coding, and science tasks, but the tool, latency, and cost footnotes are part of the evidence.

Source-specific observation

The OpenAI release compares Astra and GPT-5.6 Sol on Agents’ Last Exam, OSWorld 2.0, AutomationBench, BenchCAD, BrowseComp, and other tasks.

Published conditions

OSWorld includes latency simulation, BenchCAD uses tools, and cost/effort settings differ; prompts, seeds, failures, and complete traces are not public.

GPT-6 Astra: CodeRabbit's Cross-File Code Review and Cost Evaluation

CodeRabbit reports GPT-6 Astra on actionable bug coverage for overall and cross-file review samples, plus cost assumptions and a Godot project iteration; the full PR harness is unpublished.

Unverified: the original source could not be rechecked.

Source-specific observation

The September 4, 2026 CodeRabbit evaluation uses an overall set and a harder cross-file subset with actionable bug coverage as the metric.

Published conditions

Repositories, PR lists, labels, repeats, snapshot, and scoring script are not public; the cost example assumes 100k uncached input and 10k output tokens.

GPT-6 Astra: Field Report on 100K+ LOC Long-Horizon Tasks, Reasoning Tiers, and Fast Mode

A Codex user reports GPT-6 Astra running about 70 hours on a 100K+ LOC geometry-engine task without finishing and records High effort and quota use; it is personal field evidence.

Unverified: the original source could not be rechecked.

Source-specific observation

The September 8, 2026 r/codex report describes a 100K+ LOC geometry refactor, 3D GLB assets, and roughly 70 hours of execution.

Published conditions

Snapshot, full rollout, diff, token counts, and a common control task are unpublished; quota also includes other UI and optimization work.

GPT-6 Astra: Artificial Analysis Comparison of Intelligence, Speed, and Cost Across Six Reasoning Tiers

Artificial Analysis shows six GPT-6 Astra reasoning configurations with intelligence, time to first token, speed, and cost per task; the High/Max cost gap argues for task-based routing.

Unverified: the original source could not be rechecked.

Source-specific observation

The snapshot is dated September 8, 2026 and separates first-party API output speed from weighted cost per task across six effort configurations.

Published conditions

The page shows a Non-reasoning label while OpenAI’s model page does not support none; request parameters, repeats, and snapshots need confirmation.

GPT-6 Astra: Reproducible Telemetry on Quota Consumption from 30-Second Subagent Polling

A Codex telemetry report links 47 idle 30-second polls with 7.13M parent-agent input tokens; orchestration waits may amplify cost more directly than model quality.

Unverified: the original source could not be rechecked.

Source-specific observation

The September 8, 2026 r/codex report uses a GPT-6 Astra parent, GPT-5.6 Luna XHigh workers, and a Luna Max comparison.

Published conditions

It attributes about 68% of parent input to polling in one account/client/task; cache, server metering, and orchestration bugs remain confounders.