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GPT Astra vs. GPT-6.1 Sol and every previous Sol generation on the Mario test. Same prompt, same test. Astra still wins, finishing in just 15m 37s for $2.96. GPT-6.1 Sol took 34m 38s, more than twice as long, but cost just $0.64 and delivered the best result of any... show more

Luckey Faraday

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33,047 次观看 • 2 天前 •via X (Twitter)

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🚨 GPT-6.1 Sol vs Gemini 4 Pro vs GPT-6 Astra 3D Colosseum, all on the same prompt, Gemini 4 pro is on checkpoint 3 here too Astra and the new Sol feel very similar imo

🚨 GPT-6.1 Sol vs Gemini 4 Pro vs GPT-6 Astra 3D Colosseum, all on the same prompt, Gemini 4 pro is on checkpoint 3 here too Astra and the new Sol feel very similar imo

Lumina

67,759 次观看 • 3 天前

GPT-6.1 Sol is here. Upgraded with stronger agentic coding and computer use, near-Astra performance, and cached input at a 95% discount to standard input pricing. GPT-6.1 Sol is built for complex refactors, deep codebase investigations, and long-running agents across apps.

GPT-6.1 Sol is here. Upgraded with stronger agentic coding and computer use, near-Astra performance, and cached input at a 95% discount to standard input pricing. GPT-6.1 Sol is built for complex refactors, deep codebase investigations, and long-running agents across apps.

OpenAI Developers

482,756 次观看 • 3 天前

OpenAI DevDay is now finished. Here's what matters for creators: → dots: always-on agents powered by GPT-6 Astra → GPT-6.1 Sol, the most cost-efficient model → Up to 4K apps, including Magnific → UltraFast: responses at 300 tokens per second OpenAI x Magnific now available

OpenAI DevDay is now finished. Here's what matters for creators: → dots: always-on agents powered by GPT-6 Astra → GPT-6.1 Sol, the most cost-efficient model → Up to 4K apps, including Magnific → UltraFast: responses at 300 tokens per second OpenAI x Magnific now available

Magnific

10,966 次观看 • 3 天前

BREAKING 🔥: GPT-6 Astra has been officially announced and will roll out in the coming days. > Astra was pre-trained on more than 100,000 GPUs at Stargate, and GPT-5.6 Sol has been helping supervise its training. > "Across the plans, Astra will be included in the normal usage allocation, and you will be able to use 100% of it for Astra." AGI? 👀

BREAKING 🔥: GPT-6 Astra has been officially announced and will roll out in the coming days. > Astra was pre-trained on more than 100,000 GPUs at Stargate, and GPT-5.6 Sol has been helping supervise its training. > "Across the plans, Astra will be included in the normal usage allocation, and you will be able to use 100% of it for Astra." AGI? 👀

🚨 AI News | TestingCatalog

46,884 次观看 • 29 天前

GPT-6 Astra vs Fable 5.1 vs Kimi K3 vs Sol Astra: Took 11 minutes. This is from a follow-up after the first attempt had rendering and UI bugs. The smoke feels a little off. I expected more detail, but it did a good job understanding the intent. Cost: $12.85. Fable 5.1: Took 18 minutes to complete the same test with high detailing. Cost: $12.60. Kimi K3: Took 10 minutes with a similar level of output and cost only $6.95. SOL: Took 7 minutes, but the output seemed messy. Cost: $5.78. Personally, I like Kimi K3 for delivering similar quality with better token efficiency, followed by fable 5.1 for realism. What about you? I’ll do a couple more tests before coming to a conclusion.

GPT-6 Astra vs Fable 5.1 vs Kimi K3 vs Sol Astra: Took 11 minutes. This is from a follow-up after the first attempt had rendering and UI bugs. The smoke feels a little off. I expected more detail, but it did a good job understanding the intent. Cost: $12.85. Fable 5.1: Took 18 minutes to complete the same test with high detailing. Cost: $12.60. Kimi K3: Took 10 minutes with a similar level of output and cost only $6.95. SOL: Took 7 minutes, but the output seemed messy. Cost: $5.78. Personally, I like Kimi K3 for delivering similar quality with better token efficiency, followed by fable 5.1 for realism. What about you? I’ll do a couple more tests before coming to a conclusion.

Bhavy☄️

78,399 次观看 • 28 天前

I gave the same prompt to Kimi K3 Max and GPT 5.6 SOL Ultra to create a 3D castle GPT 5.6 SOL Ultra is clearly better here, but I am also really impressed with the Kimi K3 as well Anthropic gotta reset the limits again lol

I gave the same prompt to Kimi K3 Max and GPT 5.6 SOL Ultra to create a 3D castle GPT 5.6 SOL Ultra is clearly better here, but I am also really impressed with the Kimi K3 as well Anthropic gotta reset the limits again lol

fardeen

35,594 次观看 • 2 个月前

Fusion is the most efficient frontier harness for GPT 6 Astra and Claude Fable 5.1. You can also configure everything about it: • Base model: Fable, Astra, Sol, or Opus • Sidekick model: SWE (Free), Luna, Sol, GLM (Free) • Speed: Normal or Fast ⚡ • Reasoning level It retains Claude Fable 5.1 and GPT-6 Astra performance while reducing costs and is the first time a multi-model coding agent has been included on the Artificial Analysis Coding Agent Index! Importantly: it's also fun to use :)

Fusion is the most efficient frontier harness for GPT 6 Astra and Claude Fable 5.1. You can also configure everything about it: • Base model: Fable, Astra, Sol, or Opus • Sidekick model: SWE (Free), Luna, Sol, GLM (Free) • Speed: Normal or Fast ⚡ • Reasoning level It retains Claude Fable 5.1 and GPT-6 Astra performance while reducing costs and is the first time a multi-model coding agent has been included on the Artificial Analysis Coding Agent Index! Importantly: it's also fun to use :)

nader dabit

805,423 次观看 • 21 天前

HOLY MOLY: Aikido got GPT-6 Astra in advance to run it on our Cybersecurity benchmark, it crushed EVERY other model! - At pass@3 it rediscovered 29/32 CVEs, the highest recall we've ever recorded and 4 more than GPT-5.6-Sol - Even at pass@1, it has 75% recall. The model is VERY consistent - The performance however come at a high price (literally). The three runs cost us almost $4,000 Astra is now the #1 model on the benchmark Debarshi and I built, and by a LOT 1/3 🧵

HOLY MOLY: Aikido got GPT-6 Astra in advance to run it on our Cybersecurity benchmark, it crushed EVERY other model! - At pass@3 it rediscovered 29/32 CVEs, the highest recall we've ever recorded and 4 more than GPT-5.6-Sol - Even at pass@1, it has 75% recall. The model is VERY consistent - The performance however come at a high price (literally). The three runs cost us almost $4,000 Astra is now the #1 model on the benchmark Debarshi and I built, and by a LOT 1/3 🧵

pilvar (Philippe Dourassov)

49,224 次观看 • 28 天前

GPT 5.6 Luna Max vs 5.6 Sol Medium… Yeah, it’s not even a question 😭 Sol on MEDIUM produced a much better result than Luna on MAX—and needed only around HALF the time. Same harness. Better generation. Faster result. Luna may be cheaper, but if you have the budget, I would absolutely use Sol. Saving money is not worth it when the weaker output creates hours of extra work later.

GPT 5.6 Luna Max vs 5.6 Sol Medium… Yeah, it’s not even a question 😭 Sol on MEDIUM produced a much better result than Luna on MAX—and needed only around HALF the time. Same harness. Better generation. Faster result. Luna may be cheaper, but if you have the budget, I would absolutely use Sol. Saving money is not worth it when the weaker output creates hours of extra work later.

OmedTheVibeCoder

100,777 次观看 • 2 个月前

Video is ~ x32 speed. This is Gpt Sol (ultra) asked to sculpt a banana in Blender beginning to end. I will do the identical test soon as its available. I have little faith that Astra will perform much different...

Video is ~ x32 speed. This is Gpt Sol (ultra) asked to sculpt a banana in Blender beginning to end. I will do the identical test soon as its available. I have little faith that Astra will perform much different...

Matt Wesney

201,337 次观看 • 28 天前

Kimi K3 beats GPT 5.6 Sol on both speed and in cost in backend bug fixing ! Planted 4 defects in the same Python order service: a wrong-total calculation, a broken access-control check (IDOR), a crash on invalid input, and an inventory oversell. Both models got identical code and the same prompt, with an automated test suite verifying every fix over the live API. Both went 4/4, but by the time Kimi K3 finished all 4, GPT 5.6 had only fixed 2. Kimi wrapped in under half the time, at half the cost. Kimi K3: 1min 34s · $0.1 · 4/4 GPT 5.6 Sol: 4min 6s · $0.2 · 4/4

Kimi K3 beats GPT 5.6 Sol on both speed and in cost in backend bug fixing ! Planted 4 defects in the same Python order service: a wrong-total calculation, a broken access-control check (IDOR), a crash on invalid input, and an inventory oversell. Both models got identical code and the same prompt, with an automated test suite verifying every fix over the live API. Both went 4/4, but by the time Kimi K3 finished all 4, GPT 5.6 had only fixed 2. Kimi wrapped in under half the time, at half the cost. Kimi K3: 1min 34s · $0.1 · 4/4 GPT 5.6 Sol: 4min 6s · $0.2 · 4/4

GMI Cloud

24,715 次观看 • 2 个月前

Gemini 4 argon vs GPT 6.1 sol both models were tested with same prompt but results came out really different > sol was tested by me in devin cloud at default reasoning > gemini was tested by lentils earlier this month on pre release checkpoint argon isn’t publicly available yet, so can’t say how good offical checkpoint is, but this one looks pretty good already which one did better?

Gemini 4 argon vs GPT 6.1 sol both models were tested with same prompt but results came out really different > sol was tested by me in devin cloud at default reasoning > gemini was tested by lentils earlier this month on pre release checkpoint argon isn’t publicly available yet, so can’t say how good offical checkpoint is, but this one looks pretty good already which one did better?

J A Z I I

14,442 次观看 • 2 天前

i just created an entire video with gpt-5.6 sol for site every scene, camera angle, animation - is a line of code in react zero traditional editing. gpt-5.6 and @remotion are legendary

i just created an entire video with gpt-5.6 sol for site every scene, camera angle, animation - is a line of code in react zero traditional editing. gpt-5.6 and @remotion are legendary

Suhail Kakar

27,207 次观看 • 2 个月前

this is literally f**king insane i just 2x my usage limits on $200/mo codex i figured out how to use deepseek v4.1-flash on $10/mo opencode go for routine subagent work... while gpt-6 astra directs the project and sol handles implementation. here's how to set it up in 3 mins: → connect opencode go to codex through model-router → install quota flow, including its skill and agent profiles → open a fresh astra task and paste: quota flow tells flash to handle discovery and checks, sol to implement, and luna to review when needed. the same implementation agent keeps its context through the build → test → fix loop. every extra agent should earn its call.

this is literally f**king insane i just 2x my usage limits on $200/mo codex i figured out how to use deepseek v4.1-flash on $10/mo opencode go for routine subagent work... while gpt-6 astra directs the project and sol handles implementation. here's how to set it up in 3 mins: → connect opencode go to codex through model-router → install quota flow, including its skill and agent profiles → open a fresh astra task and paste: quota flow tells flash to handle discovery and checks, sol to implement, and luna to review when needed. the same implementation agent keeps its context through the build → test → fix loop. every extra agent should earn its call.

Avid

61,962 次观看 • 20 天前

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Astra (GPT-6) is here!!! I've had early access and tested it like crazy with things like games, code, writing, browser control, presentations and general knowledge work. This is the best model I've ever used. Period. (Incredible demos below in this thread ⬇️) Here's my take on Astra: > It's insanely capable. This feels like a massive improvement, not just an incremental change. This is especially true with zero-shot prompts. > It's all about knowledge work. Slide creation, analysis, writing, and browser control. And oh my...it's so good at browser control. GPT-5.6 was already fantastic at doing things in the browser, Astra is another level and significantly faster. > We're closer than ever (arrived?) at prompt-to-playable game. And I don't just mean only playable, these are actually fun games. I bet if someone with a great eye for games used Astra, they could create a viral game within 1-2 weeks. > Astra is better at writing but not perfect. It removes much of the "AI Smell" we're all familiar with but some stink still survived. > It has a tendency to use the same design colors and look/feel as GPT-5.6 (forrest green anyone?) but it is more steerable in design than previous models. > It's highly steerable in general. A little nudge goes a long way. When I first started using Astra, almost every task I gave it would go for ~30 minutes. I wanted it to keep working. Adding more specifics to a prompt helped greatly with it's ability to work for a long time. > Astra's 3D understanding is unmatched. 3D asset creation was consistent and easy and its spacial awareness while building complex 3D worlds blew me away. I'm still getting familiar with Astra but this will now be my go-to model for any difficult work I have. Check out the demos below: 👇

Matthew Berman

1,907,120 次观看 • 29 天前

Codex users: *THIS* is the best way to take advantage of the GPT-5.6 Luna Max capability and 80% price reduction. Treat Luna Max as a 'subagent' by instructing the Sol orchestrator to spin up and monitor a separate thread. Added to 'sol-advisor'. Try it out below 👇

Codex users: THIS is the best way to take advantage of the GPT-5.6 Luna Max capability and 80% price reduction. Treat Luna Max as a 'subagent' by instructing the Sol orchestrator to spin up and monitor a separate thread. Added to 'sol-advisor'. Try it out below 👇

Dan McAteer

56,039 次观看 • 2 个月前

$GLM-5.3 beat GPT-5.6 SOL at 3D Z.ai 's GLM-5.3 vs OpenAI's GPT-5.6 SOL, both through one API (aimlapi[.]com) the test: one self-contained three.js file rendering Godzilla destroying a night megacity — 150+ lit skyscrapers, real physics on collapsing buildings, then eye lasers carving the skyline. 18-second loop cost: GLM-5.3 — $0.37 GPT-5.6 SOL — $0.44 what we saw: • GLM's destruction is the real deal — towers fracture into chunks that tumble, pile up and burn. • GLM's Godzilla actually looks like a Godzilla — dark scales, weighty walk, menacing silhouette. SOL shipped a smooth pale toy • GLM packed the frame — dense city, glowing windows, moon, fires everywhere. SOL's city is sparser and flatter$

GLM-5.3 beat GPT-5.6 SOL at 3D Z.ai 's GLM-5.3 vs OpenAI's GPT-5.6 SOL, both through one API (aimlapi[.]com) the test: one self-contained three.js file rendering Godzilla destroying a night megacity — 150+ lit skyscrapers, real physics on collapsing buildings, then eye lasers carving the skyline. 18-second loop cost: GLM-5.3 — $0.37 GPT-5.6 SOL — $0.44 what we saw: • GLM's destruction is the real deal — towers fracture into chunks that tumble, pile up and burn. • GLM's Godzilla actually looks like a Godzilla — dark scales, weighty walk, menacing silhouette. SOL shipped a smooth pale toy • GLM packed the frame — dense city, glowing windows, moon, fires everywhere. SOL's city is sparser and flatter

AI/ML API

14,456 次观看 • 1 个月前

Kimi K3 just 3 shotted this CS:GO × Portal clone for me using around 600,000 tokens. $3.24 in API usage. The same token cost would be $10.80 with Fable 5 & $6 with GPT-5.6 Sol. The era of free indie game development is closer than you think anon!

Kimi K3 just 3 shotted this CS:GO × Portal clone for me using around 600,000 tokens. $3.24 in API usage. The same token cost would be $10.80 with Fable 5 & $6 with GPT-5.6 Sol. The era of free indie game development is closer than you think anon!

Chris

846,031 次观看 • 2 个月前

We were testing GPT-5.6 for a month now < kindle alpha> > fixed most GPT-5.5 problems > way better frontend design > sol is on par in 3d with fable not Fable level but the best day to day coding model for your pocket

We were testing GPT-5.6 for a month now < kindle alpha> > fixed most GPT-5.5 problems > way better frontend design > sol is on par in 3d with fable not Fable level but the best day to day coding model for your pocket

Chetaslua

80,195 次观看 • 2 个月前

this is f**king dangerous someone ran GPT-5.6 Sol and Claude Fable 5 side by side. same prompt. same task. one shot each. both nailed it first try. Sol just finished faster. nobody expected that. Fable 5 was supposed to dominate long reasoning without competition. you have less than 24 hours to set this up as this takes away 20% of your usage limit save and bookmark it no matter what

this is f**king dangerous someone ran GPT-5.6 Sol and Claude Fable 5 side by side. same prompt. same task. one shot each. both nailed it first try. Sol just finished faster. nobody expected that. Fable 5 was supposed to dominate long reasoning without competition. you have less than 24 hours to set this up as this takes away 20% of your usage limit save and bookmark it no matter what

Khairallah AL-Awady

688,805 次观看 • 2 个月前