GPT-6 Astra: 20 Real Examples From Useful to Almost Impossible

Summary In this video, Igor Pogany from The AI Advantage reviews community implementations and demonstrations of OpenAI’s GPT-6 Astra following its release. He breaks down the model's benchmark performance and curates 20 use cases—ranging from complex 3D world creation to long-running autonomous desktop agents and enterprise automation.

What is shown

• Benchmarks & capabilities overview [00:52]: Pogany reviews OpenAI's official release post benchmarks (Agent's Last Exam, OSWorld 2.0, BenchCAD, AutomationBench) and API pricing ($10/M input, $50/M output tokens).
• Matt Shumer's Unreal Engine simulation [02:22]: An Unreal Engine environment populated with 600 autonomous Astra-powered agents communicating via synthesized speech to survive.
• Sharif Shameem's Blender reconstruction [04:01]: A detailed 3D model of San Francisco's Palace of Fine Arts generated in Blender overnight.
• Newhaven 3D City Simulator [05:01]: A playable, browser-based SimCity-style simulator built after running Astra autonomously for 120 hours.
• Pokémon FireRed autonomous playthrough [06:09]: Benchmark run where Astra completed the game in 18 hours and 12 minutes on high reasoning effort, shown alongside a live Twitch stream interface [07:11].
• Pietro Schirano's 3D iPod Mac App [07:24]: A native Mac app rendering a 3D iPod in Blender that uses classic iPod UI controls to navigate OpenAI Codex threads.
• Peter Gostev's Van Gogh 3D Walkable Town [08:59]: A Three.js interactive environment combining six Van Gogh paintings into a 3D explorable space.
• Derya Unutmaz's T-cell educational video [09:20]: A polished 5-minute educational video produced via Remotion, Imagen visuals, and HeyGen voiceover from a single prompt.
• Ben Davis's Final Cut Pro workflow [10:21]: Astra controlling Final Cut Pro to import footage, apply color grading, select audio tracks, and sync video timelines.
• Ethan Mollick's "ABYSSAL" ocean simulation [11:48]: Extending an open-source ocean surface generator into a procedural underwater marine ecosystem.
• Claire Vo's gesture interface [13:04]: A computer-vision interface allowing webcam hand gestures (pointing and pinching) to control the Mac mouse and open apps.
• Lindsay McCallum Rémy's launch coordinator agent [13:48]: Astra managing press lists in Google Sheets, drafting pitches, logging embargoes, and generating coverage reports for its own launch.
• Derya Unutmaz's Flow Cytometry App [15:57]: A research-grade scientific desktop application analyzing complex flow cytometry immunological datasets.
• Max Weinbach's multi-agent financial audit [17:13]: Astra coordinating 55 subagents over 4 hours to cross-check 10 linked financial workbooks.
• Dan Shipper's long-form draft [18:03]: Testing Astra's steerability and low slop while drafting a 4,000-word review.
• Theo's hardware purchase tracker [19:25]: Astra analyzing years of email purchase receipts to calculate total RAM and SSD spending ($14,000) versus replacement costs ($26,000).
• Ethan Mollick's personal Obsidian wiki [20:54]: An autonomous agent run of 4 days and 21 hours scanning emails, calendar entries, and drafts to generate an interconnected personal knowledge base.
• Claire Vo's QA browser agent [23:40]: Astra testing web application features for over an hour, inspecting console logs, and diagnosing race conditions.
• Ben Davis on autonomous error correction [24:46]: Highlighting Astra's tendency to proactively open a browser and test its own generated code in a loop.
• Wade Foster's Zapier AutomationBench test [25:40]: Astra rebalancing quarterly media budgets and pausing when instructions are missing rather than hallucinating.
• Aaron Levie's Box enterprise legal review [27:50]: Reviewing complex NDAs against company policies and citing exact contractual clauses.

Claims & numbers

• OpenAI API pricing for GPT-6 Astra is stated as $10 per million input tokens and $50 per million output tokens [22:29].
• On OpenAI benchmarks, Astra scored 59.3% on Agent's Last Exam (vs. 53.6% for GPT-5.6 Sol), 72.6% on OSWorld 2.0 (vs. 65.7%), 95.9% on BenchCAD (vs. 83.9%), and 100% on the 256k–512k Needle in a Haystack long-context test [00:52, 01:09].
• The presenter notes Astra completed Pokémon FireRed in 18 hours 12 minutes (high reasoning), 19 hours 6 minutes (medium), 21 hours 21 minutes (low), and 24 hours 37 minutes (max), compared to 96 hours 35 minutes for GPT-5.6 Sol and 218 hours 26 minutes for GPT-5.5 [06:27].
• On Zapier's AutomationBench, Astra achieved 41.4% accuracy at max effort (costing $2.45 per task), outperforming Claude Fable 5.1 (31.4%) and GPT-5.6 Sol (28.8%) [27:25].
• On Box's enterprise evaluation, Astra scored 77% overall (vs. 74% for GPT-5.6 Sol) and 93% on legal contract review (vs. 69% for GPT-5.6 Sol) [28:00].

Notable quotes

• [04:20] "It's not an AI-generated video. This is a 3D model. This has been fully created by Astra in a 3D modeling software, Blender."
• [18:11] "He said it's the best writing model he's ever tried. It's fast, produces very little slop, and is easy to steer."
• [26:34] "Astra will not guess. When the instructions exist and it can find them, it finishes the whole job. When it cannot, it pauses the work instead of improvising."

Assessment This is a third-party review and compilation of early user demonstrations, social media posts, and official benchmark data. The host showcases real recorded clips and public web applications, contextualizing community feedback on the model's strengths in 3D modeling, computer control, and long-horizon tasks.

Described by gemini-3.8-flash on 2026-09-29 from the video's audio and frames.