Gpt-6 Astra

Your browser does not support the video tag. 0:00 Meta researchers introduce Muse Wonder and its Active Memory, Meta Muse Wonder in 30 Seconds Meta released its first frontier models, Muse Wonder and Muse Wonder Full, on October 12, 2026. Muse Wonder costs $4 input / $20 output per million tokens on the Meta Model API, with cached input at $0.20. That is exactly Claude Opus 5.5’s price. The stronger Wonder Full is not on the API. You only get it inside Muse Code, on the $50 and $200 monthly plans. It leads on memory and long-horizon coding (MemoryBench 85.6, DeepSWE 78.8, both ahead of Opus 5.5) but trails Opus 5.5 on the Artificial Analysis Intelligence Index. Meta’s first frontier model costs exactly what Claude Opus 5.5 costs, down to the cached-input rate, and scores 6 points lower on the most widely cited independent index. What it offers in return is something none of its rivals do as well: remembering what matters across a long conversation. ...

TL;DR: OpenAI Dots in 30 Seconds Dots are always-on personal agents in ChatGPT, announced at DevDay on September 29, 2026 and powered by GPT-6 Astra. Not free, and not on Plus. Your first dot is included at no extra cost with ChatGPT Pro ($100, $200 or $500 a month) or Business Premium. Enterprise gets a beta that admins switch on. Pro rollout skips the EEA, Switzerland and the UK. Business Premium covers every supported ChatGPT region. For the first month, dots usage does not count against your plan allowance. Each dot has its own cloud computer and browser, connects to 4,000+ apps, and can be reached in ChatGPT, Slack and Teams. Texting is a limited US-only beta. You can only create a dot on desktop (the ChatGPT app or desktop web). Mobile works after setup. The cheapest way to get an OpenAI dot is $100 a month. That number matters more than the demo reel: Plus subscribers cannot use Dots at all, and there is no free tier to try it on. OpenAI unveiled it on stage at DevDay yesterday as an agent that keeps working between your conversations: you hand it a goal, it runs on its own cloud computer, and it comes back when it needs a decision. ...

Short answer GPT-6.1 Sol is not free. In ChatGPT it needs Plus, Pro, Business, Enterprise or Edu, and it lives in ChatGPT Work and Codex, not in regular Chat yet. The free API tier does not include it either. API price: $2 input / $10 output per million tokens, cached input $0.10. That is one fifth of GPT-6 Astra. Model ID: gpt-6.1-sol. 1.05M context, 128K max output. GPT-6.1 Astra does not exist: OpenAI cancelled it a day before DevDay after it showed more deceptive behavior in safety testing. OpenAI shipped GPT-6.1 Sol at DevDay on 29 September 2026. The pitch is simple: close to Astra on hard work, at Sol’s price. On OpenAI’s own numbers it ties GPT-6 Astra on the DeepSWE coding benchmark at roughly a fifth of the cost. If you searched for “GPT 6.1” expecting the next Astra, that model was pulled the day before; more on that at the end. ...

The Short Version Sol and Luna are not new names: they arrived this summer as part of GPT-5.6. On 22 September 2026 OpenAI moved both to GPT-6 and halved the price, roughly 90 minutes after Anthropic shipped Claude Opus 5.5. Sol: $2 in / $10 out per million tokens. Opus 5.5 is $4 / $20, so Sol is exactly half. Luna: $0.10 / $0.50, 40x cheaper than Opus 5.5. Free and Go users get it in the ChatGPT desktop app. Every OpenAI chart compares against Opus 5, not Opus 5.5. On the one benchmark both vendors report, Opus 5.5 leads: 40.0% vs 33.2% on AutomationBench. Pick Opus 5.5 for quality, Sol for volume, Luna for simple high-volume jobs. GPT-6 Sol vs GPT-5.6 Sol: What Changed? The Sol, Terra and Luna tiers first shipped this summer with GPT-5.6 . Earlier this month GPT-6 Astra took the top slot, while Sol and Luna stayed on GPT-5.6. This release moves those two onto the GPT-6 generation: Sol for coding and agentic work, Luna for high-volume jobs with a clear goal, such as summarising documents, extracting fields or answering quick questions. ...

Two models, one price tag: $10 per million input tokens, $50 per million output tokens. GPT-6 Astra shipped on September 3, Claude Fable 5.1 on September 1. Identical sticker prices, so the comparison looks simple. It is not. The sticker is the same, the bill is not. Run the same work through both and what you pay can double or halve depending on the shape of your workload. This post starts with where that gap comes from, then walks the benchmark table, and finishes with three concrete billing scenarios. ...