Christopher Comparán

IT Consultant | Comments are my own | Business: [email protected]

[Christopher Comparán @ccomparanv]

Nueva imagen. Mismo enfoque:
tecnología e innovación.

Únete a nuestro Telegram 📲 https://t.co/p5BUkvs7fN

[Christopher Comparán @ccomparanv]

No Astra still

[Chubby♨️ @kimmonismus]

a reset a day keeps anthropic away. they know it.

[Christopher Comparán @ccomparanv]

Ya llegó el primer banked reset pero no Astra 😭😭😭🪫🪫🪫

[Christopher Comparán @ccomparanv]

Todavía no llega aquí 😭😭

[Sam Altman @sama]

first, sorry for the messy rollout.

second, when we screw up, we try to make it right.

third, we should be able to begin broad rollout to API customers and chatgpt subscribers in the near future. as usual we will start with pro subscribers.

[Christopher Comparán @ccomparanv]

Still no Astra 🪫👨‍💻🪫👨‍💻🪫🥲

[Tibo @thsottiaux]

We will give one banked reset for every day you don't have access to Astra on your paid ChatGPT plan, starting today. Team is moving mountains to give access as fast as we can.

First one will land in ~ 3 hours. There is still time to create your account if you don't have one.

[Christopher Comparán @ccomparanv]

👍👍👍🙌🏽🙌🏽🙌🏽aún no llega a mi casa

[Tibo @thsottiaux]

We will give one banked reset for every day you don't have access to Astra on your paid ChatGPT plan, starting today. Team is moving mountains to give access as fast as we can.

First one will land in ~ 3 hours. There is still time to create your account if you don't have one.

[Christopher Comparán @ccomparanv]

Todo el mundo es praising Astra y estos dicen que apesta! El tiempo dirá a quien creerle

[Artificial Analysis @ArtificialAnlys]

GPT-6 Astra makes significant gains in the Artificial Analysis Coding Agent Index, scoring equal to Fable 5 at lower cost. In the Intelligence Index, it uses fewer tokens than GPT-5.6 Sol for similar performance, but this is outweighed by higher prices

Pricing is 2.5x GPT-5.6 Sol’s current prices across the board, up from $4/$20 to $10/$50 per million input/output tokens, with the same 90% discount for cache reads and 25% premium for cache writes.

We see distinct stories across our two flagship Indices. In the Artificial Analysis Coding Agent Index, GPT-6 Astra equals Fable 5 at less than half the cost, driven by significant token efficiency gains. In the Artificial Analysis Intelligence Index, GPT-6 Astra is more token efficient than its predecessor for similar performance, but this is offset by the price increase.

Artificial Analysis Coding Agent Index - key takeaways:

➤ Rivals top models: In Codex, GPT-6 Astra scores 67 in the Index - approximately equal to Claude Opus 5 and Fable 5 in Claude Code, and Muse Spark 1.3 in Muse Code. Fable 5.1 in Claude Code leads the Index with a score of 70.

➤ 70% more token efficient than GPT-5.6 Sol: GPT-6 Astra sees a substantial improvement in token efficiency, using one third of the tokens compared to GPT-5.6 Sol (max) in the Codex harness, and one fifth of the tokens of Claude Opus 5 (xhigh). Various effort levels of the model occupy the Pareto frontier of token efficiency.

➤ Leads Coding Agent Index cost efficiency frontier: At max effort, GPT-6 Astra costs about the same as GPT-5.6 Sol (max) while scoring 2 points higher on the Index. Per task, the model is less than half the cost of Claude Fable 5, for the same score.

Artificial Analysis Intelligence Index - key takeaways:

➤ Sits beside GPT-5.6 Sol in Intelligence: GPT-6 Astra scores equal to GPT-5.6 Sol in the Index at 61. This is 5 points lower than Claude Fable 5.1 (max with fallback). The model also trails Meta’s newly released Muse Spark 1.3 (max).

➤ ~10% fewer output tokens, offset by price increase: GPT-6 Astra defines a new Pareto frontier for Intelligence Index vs Output Tokens per Task - with a ~10% reduction in token use at max effort compared to GPT-5.6 Sol. However, due to the 2.5x increase in price, the model is 75% more expensive per task than its predecessor at max effort.

➤ Hallucinates half as much as GPT-5.6 Sol: GPT-6 Astra sees a large jump in AA-Omniscience, our knowledge and hallucination benchmark. This is driven by a significant decrease in hallucination rate from 92% to 51% at max effort. Unlike some models, this improvement does not come at the cost of accuracy - Astra increased accuracy by 4 points at the same time.

➤ ~80 point gain in AA-Briefcase Elo: GPT-6 Astra improves ~80 points in AA-Briefcase, our frontier long-horizon knowledge work evaluation. Models are tested on multi-week projects, with many linked tasks and thousands of source files. Astra sees a significant increase in both rubric scores and Analytical Quality Elo in AA-Briefcase compared to its predecessor. In the other direction, we observe a reduction in Presentation Quality Elo, where GPT-5.6 Sol (max) still leads all models.

➤ Mixed progress on other evaluations: The model sees a 6 point gain in Humanity’s Last Exam, a long-standing evaluation with emphasis on mathematics, science, and humanities. This is offset by a drop of ~80 Elo points in GDPval-AA v2 - a benchmark we adapted from OpenAI’s dataset measuring economically valuable tasks across 44 occupations. We also observe 2-3 point regressions on other evaluations across a mix of capabilities, including reductions in τ³-Banking (customer support), SciCode (Python problems in a scientific domain), and AA-LCR (long context reasoning over large documents).

Congratulations @OpenAI and @sama on the launch!

[Christopher Comparán @ccomparanv]

Astra ta tronando todo

[Perplexity @perplexity_ai]

We evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested.

GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost.

[Christopher Comparán @ccomparanv]

🪫🪫🪫 yo ni siquiera le he mandado un dale duro

[Greg Brockman @gdb]

arc-agi-3 is now saturated

[Christopher Comparán @ccomparanv]

Wtf , rólenlo a la banda

[OpenAI @OpenAI]

GPT-6 Astra is state-of-the-art on FrontierMath Tier 4, ARC-AGI 3, and TerminalBench-4.0.

GPT‑6 Astra is also a major advance for scientific discovery, with state-of-the-art performance on Terminal-Bench Science 0.1 and HealthBench Pro.

[Christopher Comparán @ccomparanv]

Rolen astra a los pobres !! 🥲🥲 y un reset chiquito estaría shido

[Christopher Comparán @ccomparanv]

What

[Tibo @thsottiaux]

We are going to need a different AGI benchmark. Where is the goalpost moving next?

[Christopher Comparán @ccomparanv]

Después del chisme esto es más chisme

[Jensen Huang @JensenHuang]

Exciting day for NVIDIA and @huggingface.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.

Thank you @ClementDelangue for coming to me.

NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗

https://t.co/q8Om2Xc5ye

[Christopher Comparán @ccomparanv]

Viva la gordura 🐖🐖🐖🐖🐷

[Christopher Comparán @ccomparanv]

Pa que no quede duda

[Under Secretary of War Emil Michael @USWREMichael]

Anthropic is still a designated Supply Chain Risk at @DeptofWar and for the Defense Industrial Base. Thank you for your attention to this matter!

[Christopher Comparán @ccomparanv]

🥲🥲👨‍💻

[Uncle Bob Martin @unclebobmartin]

I had to type my own git commands. What's the world coming to! Oh my.

[Christopher Comparán @ccomparanv]

@thsottiaux 🥲🥲👨‍💻👨‍💻

[Christopher Comparán @ccomparanv]

is not working 😱😱😓😓😓😢 @OpenAI

[Christopher Comparán @ccomparanv]

🙌🏽🙌🏽👍🔋🔋

[Tibo @thsottiaux]

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