GPT Astra

Confidence: medium — Coverage: 719 posts mentioning Astra (second-largest sample in the ranking) from a single subreddit (r/codex) inside the window the archive labels month, with up to 40 kept comments per post across the 10 highest-scored posts — 400 kept comments in total. The sample splits between genuine first-hand showcase threads (Blender, 3D printing, circuit boards) and subscription-policy anger ($500 plan, ultrafast burn rates, rugpull framing). Long-context and creative-writing statements are absent, so those categories are null on purpose. What this is not: an independent measurement — no benchmark was run here, and every dollar figure or percentage is a number a commenter wrote.

Category scores

Intelligence

74

'Astra is the first time I've been truly impressed by AI' is its own high-scoring post, with commenters reporting 3D-print-ready 3mf files and a hardware prototype at '80-90% of Apple level finished quality'. Against it, the nerf scare — 'I thought the "model nerf" posts were bullshit… until today' after output 'suddenly felt dumb as fuck' — and 'Opus 5.5 washes Astra and Sol. Easily.' keep it below Opus in the sample's eyes.

Speed

62

Fast modes are the selling point — 'It's 8x speed for 6x the cost' — and 6.1 Sol's 20 tok/s makes Astra look quick by contrast, but the sample's anger is that the speed is priced out of reach: ultrafast burned '17% gone' in five minutes and is gated behind the $500 plan, with the sweet spot estimated at 'around 70-80 tokens per second with a reliable model'.

Coding quality

74

The strongest first-hand evidence in the whole sample is Astra doing real fabrication: Bambu Lab-ready 3mf files with optimized temperatures, a sourced dev board and 3D-printed enclosure, and Blender output a commenter 'can't tell em apart'. The Pelican Test nerf thread is the counterweight, showing output collapsing on a bad day.

Instruction following

58

Mixed: in the government-commissioned app test 'I have given the rules to astra, it made a lot of mistakes, didn't follow some instructions', and the anti-distillation theory claims suspicious users get served smaller models; others report it following long multi-step builds without drifting.

Long context

no data

No data in the sample — Astra's top threads discuss usage burn, speed pricing and showcases, never long-context performance.

Price / value

32

The angriest dimension: '$200 Pro Plan Returning at less than 20x', '5 minutes 17% gone' on Ultrafast, 'Pro 500 is the new Pro 200 btw just 2.5 times more expensive', and the $4-equals-5h-limit math. Astra itself is seen as good — the subscription economics around it are called a rugpull ('Rugpulling 20x Users is insane').

Reliability & uptime

52

Capacity errors fuel the degradation theory — 'If you're frequently getting this error... THERE'S A 99% CHANCE YOUR MODEL HAS BEEN DEGRADED' — yet an equal number report nothing wrong ('Guess mine isn't getting nerfed...?'), and one developer ran 3 hours of work on 3% remaining usage with ~97% of it cached.

Creativity & writing

no data

No data in the sample — Astra's writing ability is discussed on other models' threads but never in its own top posts; the pelican threads judge SVG animation, not prose.

Multimodal & vision

82

The standout category and the reason for the high mention count: 'Astra Extra High in Blender. 10/10 I can't tell em apart', 3D-printed designs from an MCP plugin, and circuit boards sourced and fabricated. Real physical-world output, repeatedly shown, is unique among the ranked models.

Agentic & tool use

68

The sample's canonical multi-agent setups run through Astra — 'Astra Max manager -> Sol 6.1 High lead worker -> Luna menial task setup' — and 'Astra got lazy and called in Luna to finish it' jokes about exactly that. Cost is the drag: 'likely spawned a ton of subagents' is why the $500 plan burned in minutes.

Summary

Pros and cons

Top quotes

• “Yes! I've been doing similar. Astra has been creating 3mf files that open in bambu lab printing software. I copy and paste the filament I'm using from the Amazon page I bought it into Astra and it optimises all the temps and settings too. Its absolutely wild to hold something you've created from plain english prompts. And yeah same experience, everything comes out perfect.”

• “You would be too if you found out you were created by Gemini.”

• “Astra got lazy and called in Luna to finish it.”

• “Why are we spending $500 already? Stop paying these insane prices... You are the reason they keep selling these insane prices for trash limits.. They will sell you anything at any price and you will pay for it.”

• “It's not nerf. It's codex's anti-distillation policy. If the classifier marks you as suspicious, you can be served smaller models. The idea is to poison distillation for Chinese LLM companies by directing from Astra to a low-quality model, and doing it quietly. It's shitty and sus as fuck, especially when done without any heads up to the user and while keeping the same billing.”

• “I don't think "Ultrafast" makes sense for anything other than an "oh shit prod is down, we're loosing $10000 per hour" button. Unfortunately. I'm with you though, the rugpull and marketing on devday is insane.”

• “it does circuit boards too, you send the design to China and get it in your hand in 2-3 weeks”

• “Lol. Opus 5.5 washes Astra and Sol. Easily.”

Top sample posts

Top 5 of 719 posts by score

• The End of the Codex Era. I've Completely Lost Trust in OpenAI. They're Secretly Degrading Their Models. ↗

  FixAdmin · 1042 points · 263 comments

• Astra Extra High in Blender. 10/10 I can't tell em apart. ↗

  Drzewkoslaw · 943 points · 167 comments

• They are completely out of touch with what users want ↗

  ethotopia · 804 points · 206 comments

• I thought the “model nerf” posts were bullshit… until today ↗

  jiheonbaek · 610 points · 229 comments

• My take after upgrading to the $500 plan today ↗

  ZestRocket · 505 points · 157 comments

FAQ

What is GPT Astra's overall community score?

68.2 out of 100, with medium confidence: Coverage: 719 posts mentioning Astra (second-largest sample in the ranking) from a single subreddit (r/codex) inside the window the archive labels month, with up to 40 kept comments per post across the 10 highest-scored posts — 400 kept comments in total. The sample splits between genuine first-hand showcase threads (Blender, 3D printing, circuit boards) and subscription-policy anger ($500 plan, ultrafast burn rates, rugpull framing). Long-context and creative-writing statements are absent, so those categories are null on purpose. What this is not: an independent measurement — no benchmark was run here, and every dollar figure or percentage is a number a commenter wrote.

How was the GPT Astra benchmark collected?

From 719 posts and 400 comments on r/codex sampled over the past month window.

Which categories does the GPT Astra report score?

Intelligence, Speed, Coding quality, Instruction following, Long context, Price / value, Reliability & uptime, Creativity & writing, Multimodal & vision, Agentic & tool use.

What are the main community pros and cons for GPT Astra?

Top pros: Genuine first-hand fabrication wins: Bambu Lab-ready 3mf files with optimized print settings, a prototype dev board at '80-90% of Apple level finished quality', and Blender output commenters 'can't tell em apart'.; Still the sample's reference model — 'Astra is the first time I've been truly impressed by AI' — and the model others are measured against ('Astra was SOTA 2 weeks ago').. Main cons: The subscription economics around it are the sample's angriest topic: '$200 Pro Plan Returning at less than 20x', Ultrafast burning 17% of a $500 plan in 5 minutes, and 'Pro 500 is the new Pro 200 btw just 2.5 times more expensive'.; Nerf anxiety is specific and repeated: 'I thought the "model nerf" posts were bullshit… until today' after output 'suddenly felt dumb as fuck', with an anti-distillation classifier as the community's explanation..

When was the GPT Astra data collected?

Collected on October 7, 2026; the report was generated on October 7, 2026.