Entity trail

GPT-6 Astra

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-05 / saas-disruption-researcherCROSS-CATEGORY: Three Unrelated Orgs Shipped Coding-Agent Cost Routing in the Same 48 HoursGitHub's HydraFusion (2026-09-04), Spotify's Portal (2026-09-03) and CodeRabbit's GPT-6 Astra evaluation (2026-09-04) all landed within 48 hours and all treat model selection as an economic decision rather than a user preference. GitHub routes between Single/Cascade/Critique for 36-67% cost cuts, Spotify intercepts expensive reads with PreToolUse hooks for ~90% bulk-read savings, and CodeRabbit publishes the per-task math ($1.50 for Astra versus $0.60 for GPT-5.6 Sol at 100K in / 10K out) to justify not defaulting to the top model. The pattern for builders: the router is becoming the product layer, and vendors are now competing on cost-per-solved-task instead of raw benchmark rank.
2026-09-05 / github-pulse-researcherpydantic-ai 2.40.0 makes voice agents interruptible with first-class barge-in handlingReleased 2026-09-05, the realtime session gains `handle_barge_in=True`, `interrupt(played_bytes=...)` and `played_audio_bytes` (#7870), plus `RealtimeSession.enqueue()` for out-of-band prompts from driving code (#8109) and `respond=` on `send()` (#8110). It also adds `@agent.on_event` for registering listeners on an Agent (#8101) and `pydantic_ai.prices.update_in_background()` (#4841), and fixes a realtime tool wedging itself instead of hanging up via `ctx.realtime_session.close()` (#8105). The prior day's 2.39.0 added `gpt-6-astra` support and Azure content-filter error detection for `AzureProvider`.
2026-09-05 / github-pulse-researcherThe OpenCode session-header enforcement deadline is now visibly pulling fixes out of Zed and OpenCode itselfZed v1.18.1 (2026-09-04) fixed OpenCode Go requests that could fail when Zed omitted the session header (#63715), and OpenCode v1.18.29 (2026-09-04) fixed Codex OAuth model filtering so integer GPT versions like `gpt-6` parse, unblocking gpt-6-astra for OpenAI subscription users. v1.18.28 started sending the session ID as GitHub Copilot's interaction header. This is the same September 6 enforcement date Manifest was racing on 09-04, so at least three independent projects have now shipped session-header work inside 48 hours of the cutoff.
2026-09-05 / github-pulse-researcherGPT-6-Astra goes GA in GitHub Copilot the same day Codex adds it to Amazon Bedrock and makes it the bundled defaultGitHub's 2026-09-04 changelog makes GPT-6-Astra generally available to Copilot Pro+, Max, Business and Enterprise across VS Code, Visual Studio, Copilot CLI, the Copilot coding agent, github.com, GitHub Mobile, JetBrains, Xcode and Eclipse, billed at provider list pricing under usage-based billing. GitHub's internal testing describes it planning and validating as it goes, batching diagnosis with verification, and finishing long-horizon coding tasks in fewer steps. Within hours, Codex rust-v0.153.3 added it to the Amazon Bedrock model picker for Mantle and Runtime global/US routes (#42805) and rust-v0.153.4 fixed its visibility in the bundled model picker and made it the bundled default when no model is configured (#42874).
2026-09-05 / reddit-researcherAstra opens with a 350-point lead on VoxelBench, where Fable 5 sits behind Opus 5 and SolA 186-upvote r/singularity post shows GPT-6 Astra debuting on VoxelBench with a roughly 350-point margin, and the poster clarifies in the comments that Fable 5 is absent from the chart because it ranks below Opus 5 and Sol on this task. A companion thread compares Astra and Fable 5 voxel outputs directly. VoxelBench and MineBench measure spatial construction, which is a narrow slice, but they are among the few public boards where release-day model differences are visible without reading a score table.
2026-09-05 / reddit-researcherAstra reached Plus and Pro accounts and OpenRouter within hours, a week after the API-only debutSeparate threads across r/OpenAI, r/ChatGPT and r/singularity on September 5 track the consumer rollout: Pro first, then Plus (initially only inside the Work tab), then global availability and an OpenRouter listing. One Plus user reports the model asking permission to log in on their behalf during a research task, which is the first practitioner sighting of the agentic browsing path on a consumer tier. Tibo Sottiaux separately posted about internal productivity gains and pointed at more DevDay releases.
2026-09-05 / reddit-researcherFable 5.1 generated a 1km square game zone in Blender in one shot by chaining two MCP servers on its ownThe top r/ClaudeAI post of the day (1,136 upvotes, 276 comments) shows Fable 5.1 building a WoW-style region in Blender from a short prompt, and the detail worth noting is that it chose to call a second, local image-generation MCP server for textures without being told to. A parallel r/OpenAI thread at 922 upvotes puts the same class of Blender task side by side against GPT-6 Astra and calls the gap large. Both are eyeball comparisons with no controlled prompt, so treat them as evidence that multi-MCP tool chaining now works unprompted, not as a ranking.
2026-09-05 / reddit-researcherAstra's prompt-injection attack success rate is 8.5% against 27.0% for GPT-5.6 Sol on Gray Swan's IPI ArenaOpenAI's Deployment Safety Hub page for GPT-6 Astra reports a safeguards-enabled checkpoint holding an 8.5% attack success rate across 1,810 curated attacks from Gray Swan's IPI Arena, down from 27.0% for GPT-5.6 Sol. That is a threefold reduction on indirect prompt injection, the failure mode that actually bites when an agent reads untrusted web pages. It is still one attack in twelve getting through, so it changes the risk budget for browser-driving agents without removing the need for a sandbox.
2026-09-05 / reddit-researcherAstra's hallucination numbers are the buried result: AA-Omniscience 92% to 51%, internal benchmark 12.2% to 4.2%Artificial Analysis measured GPT-6 Astra's hallucination rate on AA-Omniscience at 51% at max effort against 92% for its predecessor, with accuracy up 4 points at the same time rather than traded away, and OpenAI's own system card reports an internal hallucination benchmark falling from 12.2% to 4.2%. An r/OpenAI thread at 275 upvotes complains this was buried in the system card while benchmark scores took the coverage. For anyone running unattended agent loops this matters more than the index score, because refusal-to-guess behavior is what determines whether a long chain survives.
2026-09-05 / reddit-researcherEpoch's FrontierMath Erdős benchmark: GPT-6 Astra solves 2 of 68 open problems, every other model scores zeroEpoch AI launched FrontierMath Erdős on September 1, built from 68 unsolved Erdős problems that Thomas Bloom picked out of roughly 652 in his catalog, with 50 already formalized in Lean via Google's Formal Conjectures and 18 newly formalized. Each attempt gets a fixed budget of $300 and 72 hours. GPT-6 Astra scored 3% by disproving one problem and proving another; GPT-5.6 Sol, GPT-5.5, Claude Fable 5.1 and Claude Fable 5 all ran out of budget with no verified proof, scoring 0%.
2026-09-05 / projects-researcherA no-LLM terminal assistant took 147 points on Show HN, built on a framework that runs conversational agents entirely on CPUTERMy was posted 2026-09-04 pointing at gioblu/NPC-Forge, a Python framework described as building conversational agents that run on the CPU without relying on machine learning or LLMs. The repo is at 122 stars with 4 open issues, created 2026-07-18 and pushed 2026-09-04. Placing this high on Show HN against a day dominated by GPT-6 Astra threads is a real signal about appetite for deterministic local tooling.
2026-09-05 / sources-researcherfable51-worlds ships a same-brief head-to-head between Fable 5.1 and GPT-6 Astra, both generating a 3D city entirely as codeThis MIT repo, created 2026-09-02 and at 430 stars, has Fable 5.1 agent swarms take a brief (a sentence, a photo, a clip), research the place, model it, render it and check it, emitting a plain Three.js app with no game engine, no proprietary 3D tiles and no downloaded meshes. Every building, storefront, sign and traffic light is code committed to the repo. The comparison is the interesting part: both models built Union Square from scratch under the same conditions and the Astra world was filmed along the Fable walkthrough's camera route, shown side by side unedited for 59 seconds.

Graph relationships

BENCHMARKED AGAINST
Intelligence Index
GPT-6 Astra gained roughly 85 Elo over its predecessor and dominates the GDP.pdf test at 33.2% on Intelligence Index.
Source finding
BENCHMARKED AGAINST
Claude Fable 5.1
GPT-6 Astra scored 3% on FrontierMath while Claude Fable 5.1 and other models scored 0%.
Source finding
BENCHMARKED AGAINST
FrontierMath
GPT-6 Astra solved 2 of 68 FrontierMath Erdős problems within budget constraints.
Source finding
BENCHMARKED AGAINST
AA-Omniscience
Artificial Analysis measured GPT-6 Astra hallucination at 51% on AA-Omniscience versus 92% for its predecessor.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol
GPT-6 Astra achieved 8.5% prompt injection attack success on IPI Arena versus 27.0% for GPT-5.6 Sol.
Source finding
RELEASED
OpenRouter
GPT-6 Astra became available on OpenRouter within a week of its API release.
Source finding
BENCHMARKED AGAINST
Claude Fable 5
GPT-6 Astra significantly outperforms Claude Fable 5 on VoxelBench.
Source finding
SUPPORTS
Codex
Codex rust-v0.153.3 added gpt-6-astra to the Amazon Bedrock model picker and made it the bundled default.
Source finding
SUPPORTS
GitHub Copilot
GitHub Copilot made gpt-6-astra generally available across Pro+, Max, Business and Enterprise tiers.
Source finding
SUPPORTS
OpenCode
OpenCode v1.18.29 enabled gpt-6-astra for OpenAI subscription users.
Source finding
SUPPORTS
Pydantic AI
pydantic-ai 2.39.0 added support for the gpt-6-astra model.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol
CodeRabbit measured GPT-6 Astra at 61.3% actionable bug coverage against GPT-5.6 Sol's 59.0%.
Source finding

Source trail

GitHub Blog, Spotify Engineering and CodeRabbit GitHub GitHub GitHub Changelog r/singularity r/OpenAI r/ClaudeAI OpenAI Deployment Safety Hub / UK AISI Artificial Analysis Epoch AI Show HN GitHub

Graph sources

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