AlphaSeanIX

Founder of I make AI models argue until they find the best answer | Learning code & building cool stuff that I use myself

[AlphaSeanIX @AlphaSeanIX]

What are you looking forward to in the next generation of AI models?

[AlphaSeanIX @AlphaSeanIX]

@OpenAIDevs @thsottiaux
I think the positioning of Sol, Terra, and Luna is good. But the different reasoning levels, make things confusing because it is unclear which ones consume more/less of the usage limit.

We have these levels:

• Light
• Medium
• High
• Xhigh
Then there is Ultra, which is not even a reasoning level but can be switched where you normally switch the resoning level (understandable that many users think its a reasoning level)

Different models at different reasoning levels can perform at roughly similar intelligence levels while consuming very different amounts of our usage limits. Please make that distinction clear.

Efficiency relative to intelligence is important, but for consumers, besides of the models intelligence is the factor: how much of our usage limit does each model and reasoning-level combination actually consume?

Having to experiment to find the best balance between intelligence and usage is so ironic because guess what, the testing itself drains our usage limit.

[AlphaSeanIX @AlphaSeanIX]

Competition among AI labs to make their models not only more intelligent, but also more usable by offering limits that last longer than hours/days, is the right direction!

Curious how long it takes until AI plans are seen like data plans. You'll get good plans for very reasonable price

[AlphaSeanIX @AlphaSeanIX]

Next: Replace GPT-5.3-Codex-Spark with one of the newer gen models.

[Tibo @thsottiaux]

Morning. The last 48 hours of Codex and ChatGPT Work have been intense! Three important updates:

- Temporarily removing the 5 hour usage limit restriction for all Plus, Business and Pro plans
- Rolling out changes that will make GPT 5.6 Sol more efficient across the board and that will be reflected in less usage being used so that it can take you further. Exact impact to be quantified and shared
- We hit 6M active users, and are landing a usage reset in the next hour

Go do things

[AlphaSeanIX @AlphaSeanIX]

@sama

[AlphaSeanIX @AlphaSeanIX]

While usage limits are always welcome, the flip side is how limited we would be if the limits were not reset.

[Tibo @thsottiaux]

Introducing... another usage limit reset for all our ChatGPT Work and Codex users. Should land over next 30 minutes. Hope you have an awesome weekend.

Thank you for pushing our systems to the absolute limit, we have never seen traffic increase so quickly. Keep the feedback coming and we'll keep shipping.

[AlphaSeanIX @AlphaSeanIX]

@endpointarena One AI interacting with another AI to solve a problem seems efficient

[AlphaSeanIX @AlphaSeanIX]

@elder_plinius Say it. Some might think the same

[AlphaSeanIX @AlphaSeanIX]

@thsottiaux Communication and obviously resets are highly appreciated, thanks Tibo!

[AlphaSeanIX @AlphaSeanIX]

@jun_song Just keep going and be you bro. I like your content and value your takes. Just shouting out appreciation and support✌️

[AlphaSeanIX @AlphaSeanIX]

@thsottiaux Nice! A pretty good idea to stress test compute capacity.

[AlphaSeanIX @AlphaSeanIX]

Imagine what we’ll see in 6-12 months

[eva @evayzh]

if you like watching videos on 2x speed you might like watching GPT-sol do things with CUA

here's GPT- Sol making a cannon in Blender (but this video is NOT sped up)

make CUA fast again

[AlphaSeanIX @AlphaSeanIX]

@thsottiaux @_rajanagarwal Just keep doing what you’re and pressing what you’re pressing, you’re doing great!

[AlphaSeanIX @AlphaSeanIX]

@mattshumer_ How much of your usage/api cost did it consume?

[AlphaSeanIX @AlphaSeanIX]

@kimmonismus yeah they were just waiting for it lol

[AlphaSeanIX @AlphaSeanIX]

@OpenAIDevs @thsottiaux Why can't we replace 5.3 Codex Spark usage limit with Terra?

[AlphaSeanIX @AlphaSeanIX]

@scaling01 Interesting

[AlphaSeanIX @AlphaSeanIX]

Look at that, someone is joining the hard fought battle of who's got the best AI model 👀

[Mark Zuckerberg @finkd]

(2) Muse Spark 1.1 is strongest at agentic performance, tool use, and computer use. It does well on long-running tasks with 1M token context window, can delegate execution to sub-agents running in parallel, and is trained to use computer interfaces on desktop, mobile, or browser.

[AlphaSeanIX @AlphaSeanIX]

So has @SpaceXAI grabbed the bronze spot as nr 3. of the top big labs after such a short time? Someone has fallen off it seems.

[Artificial Analysis @ArtificialAnlys]

SpaceXAI’s Grok 4.5 scores 54 to place fourth on the Artificial Analysis Intelligence Index following only Fable 5, GPT-5.5, and Opus 4.8. It scores on par with GPT-5.5 in Codex on the Artificial Analysis Coding Agent Index in the Grok Build harness, at much lower cost

Grok 4.5 improves 16 points over Grok 4.3 on the Intelligence Index, bringing SpaceXAI to the intelligence frontier behind only OpenAI and Anthropic, and outperforming all open weights models and notably Google’s Gemini models. Key standout areas of performance are agentic knowledge work and coding.

Grok 4.5 in Grok Build scores 76 on the Artificial Analysis Coding Agent Index, on par with GPT-5.5 (xhigh) in Codex and just below Fable 5 (max) in Claude Code, and at a small fraction of the token usage and price.

Congratulations to @SpaceXAI, @cursor_ai, and @elonmusk on the impressive release!

Key Takeaways:

➤ Grok 4.5 performs very strongly on agentic tasks. Grok 4.5 ranks #4 on GDPval-AA v2 with an Elo of 1543, between Claude Opus 4.8 (1600) and GLM-5.2 (1513). It achieves the top score on 𝜏³-Banking of 33%, above 31% from GPT-5.5 (xhigh), and sits on the cost vs performance Pareto frontier across all three agentic evaluations in the Intelligence Index
➤ Grok 4.5 is one of the most cost efficient models to run for near-frontier intelligence. It costs $0.31 per task on the Artificial Analysis Intelligence Index and $2.59 per task on the Artificial Analysis Coding Agent Index within Grok Build
➤ Low cost for Grok 4.5 is driven by both low pricing and token efficiency. Grok 4.5 has a headline price over 60% lower than Claude Opus 4.8 and GPT-5.5, and used ~14k output tokens per Intelligence Index Task - over 60% lower than Opus 4.8. On the Coding Agent Index, Grok 4.5 stands out on the Pareto frontier of Coding Agent Index score vs. Total Tokens, using only 1.9M tokens for the Coding Agent Index while scoring 76
➤ As a coding agent, Grok 4.5 in Grok Build is on par with GPT-5.5 and offers efficiency benefits: In our Artificial Intelligence Coding Agent Index that consists of DeepSWE, Terminal-Bench v2, and SWE-Atlas QnA, Grok 4.5 in Grok Build ranks third, on par with GPT-5.5 (Codex) and below Fable 5 (Claude Code). It is also very efficient in achieving this result: Grok 4.5 in Grok Build cost $2.49 per task while Fable 5 in Claude Code cost $11.80 and GPT-5.5 in Codex $5.07. This is driven by relatively low token pricing and the model using far fewer tokens than comparable models (1.9M average tokens used per task), significantly less than Fable 5 in Claude Code (7.2M) and GPT-5.5 in Codex (6.2M)

Other model details:

➤ Context window of 500k tokens - a reduction from Grok 4.3’s 1M token context, but retaining configurable reasoning and vision input

➤ Pricing of $2/$6 per 1M tokens of input/output; cache hits are discounted by 75% to $0.5 per 1M tokens, and costs still double with long (>200k token) inputs

➤ As Elon Musk has disclosed, Grok 4.5 is 3x larger than its predecessor at 1.5T parameters

[AlphaSeanIX @AlphaSeanIX]

With all the releases that were happening recently, has anyone heard from @GeminiApp anything new?