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#Modelos de IA

16 posts
13 #openai · #noticias
GPT-6 Release Timeline: From Altman in Washington to the Astra Launch (Tracker Closed)

In July, Bloomberg reported Altman's briefing to the US government and the internet read it as an imminent GPT-6 launch. This tracker logged, with a date and a source, what was confirmed and what was speculation until the model shipped on September 3, 2026 as GPT-6 Astra. It stays up as a timeline; the numbers, the pricing and the comparison with Fable 5.1 and GPT-5.6 Sol are in the comparison post.

22 Jul · 7 min ›
14 #openai · #multi-agent
GPT-5.6 in Codex: Ultra mode buys 3 points, and Terra burns 2.6x more tokens to deliver worse results

GPT-5.6 has been in Codex since July 9, across all three tiers. Ultra mode coordinates four subagents that cooperate during the task and buys 3 points on Terminal-Bench (88.8% to 91.9%), at a much higher token cost. And CodeRabbit's independent test kills the reflex of picking the cheap tier: Terra burned 2.6x more tokens than Sol to pass 40.7% of tasks versus 63.7%. Price per token is not price per task.

15 Jul · 11 min ›
15 #produto-ia · #llm
Claude Sonnet 5: How to Read the Benchmarks in Practice

Claude Sonnet 5 is out. Instead of screenshotting the table, this post shows how to read the benchmarks in practice (cost per task, effort, with and without tools) for anyone using Claude Code or building AI into a product.

30 Jun · 9 min ›
16 #openai · #ia
GPT-5.6 Sol vs Terra vs Luna: Pricing by Tier and Which to Use

What's the difference between GPT-5.6 Sol, Terra and Luna? Same generation, three tiers: Sol is the agentic top end ($5/$30 per 1M tokens), Terra is the middle ground ($2/$12) and Luna is the cheap, fast one ($0.20/$1.20). With the pricing in effect since the July 30 cut, here's when each one is worth it and when Sol is just wasted budget.

26 Jun · 11 min ›
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