New models and versions, open weights, and changes in capability and pricing, with their evaluations.
Epoch AI estimates that open-weight cyber capabilities are about 6–7 months behind the closed frontier. Zai’s GLM-5.3 is the highest-scoring open-weight model on its Cyber ECI, scoring 160 and beating OpenAI’s GPT-5.4, released in March. https://t.co/F0D6nSnM69
Artemis Security launched Orion-1 to investigate and respond to corporate network attacks, reporting better results than Claude Opus 5.5 and GPT-6 Sol on its own Decision-Grade Readiness benchmark. Orion-1 scored 80.8 in attack reconstruction versus GPT-6 Sol’s 58.3 and is available in private preview, with human approval required by default for high-impact actions. The comparison excludes Claude Mythos 5 and GPT-6 Astra, while Opus 5.5’s cybersecurity task routing may mean its results largely reflect the older Opus 4.8.
Epoch AI reports that OpenAI halved the cached-input price of GPT-6.1 Sol compared with GPT-6 Sol. Its measurements also show the newer model handles long prompts faster. The post frames these findings as pointing to a new architecture for GPT-6.1 Sol.
Anthropic released Claude Haiku 5.5, the first Haiku-series update in about a year. Its pricing matches OpenAI's GPT-6 Luna. On the same day, Anthropic also cut prices for Sonnet 5.5 and its subscription plans.
Why it matters: The report brings together Haiku 5.5 pricing, independent evaluations, and token-usage data to help assess cost tradeoffs for small models in agent workflows.
Anthropic released Claude Haiku 5.5. Its official benchmark scores exceed GPT-6 Luna across the board, making it the new small-model gatekeeper, replacing DeepSeek V4.1 Flash and GLM-5.3-Flash.
Why it matters: The source provides Haiku 5.5 benchmark scores, tiered pricing, and a migration checklist, helping readers judge which execution-layer tasks it can take on.
OpenAI announced that GPT-6 is beginning to roll out to free and Go ChatGPT users, replacing GPT-5.6 Luna with GPT-6 Luna. Paid users on Plus, Pro, and other plans will use GPT-6 Sol.
The same story is shown in the picks as 《OpenAI 在 ChatGPT 全球上线 GPT-6 并推出 Intelligent UI》
Anthropic released the fast, low-cost Claude Haiku 5.5 at $0.10 per million input tokens and $0.50 per million output tokens, exactly matching GPT-6 Luna, released by OpenAI last month. Above 100,000 tokens, Haiku 5.5 rises to $0.50/$2.50, while Luna does not rise to $0.20/$0.75 until 272,000 tokens.
Why it matters: The author tested Haiku 5.5 pricing, tokenizer changes, and the cost and latency of different reasoning tiers, offering a basis for weighing it against GPT-6 Luna.
Anthropic released Claude Haiku 5.5, its fastest and least expensive small model so far. Average prices are about 75% lower than Haiku 4.5; for prompts under 100,000 tokens, prices are up to 90% lower, while prompts above that threshold cost five times as much.
Why it matters: The source provides Haiku 5.5's pricing table and comparisons across several benchmarks, helping readers assess the tradeoffs for cost-sensitive tasks.
OpenAI released GPT-6 to all ChatGPT users with a new feature called Intelligent UI. Instead of answering only in plain text, the model can generate interactive interfaces with graphics, buttons, charts, and forms based on the question. It can display comparisons side by side, turn explanations into interactive charts, and build small tools such as savings calculators or games directly in a conversation.
The same story is shown in the picks as 《OpenAI 在 ChatGPT 全球上线 GPT-6 并推出 Intelligent UI》
OpenAI announced that GPT-6 is rolling out globally in ChatGPT alongside Intelligent UI. The company says the new version responds faster and provides visual content and interactive experiences users can explore and use directly.
Why it matters: OpenAI announced the global rollout of GPT-6 in ChatGPT alongside Intelligent UI, showing how the model and interaction format are changing together.
Also, 6.1 Sol is our fastest-growing model ever. It was a bit slow under heavy load before. It should be a lot better now!
Google DeepMind released Gemini 4 Argon for coding, enterprise knowledge work, and cyber defense. It is initially available to government users and trusted cybersecurity professionals in the Fairwind program, before expanding to developers, businesses, and consumers.
Why it matters: This summary combines Gemini 4 Argon's benchmark results, pricing, and differences in third-party evaluations, enabling comparison with Astra and Opus 5.5.
Google released frontier model Gemini 4 Argon, matching OpenAI and Anthropic on several benchmarks without a clear lead. It is initially available to 'trusted cyber defenders' in the Fairwind program and Google's internal teams before expanding to developers, businesses, and consumers. Promotional API pricing is $2 per million input tokens and $10 per million output tokens.
Why it matters: This summary compares third-party and human-preference leaderboards, scores, token use, and pricing for Gemini 4 Argon against OpenAI and Anthropic.
OpenAI released its next-generation flagship model GPT-6 Astra at 1 a.m. Beijing time on September 4. Leiphone compiled first-hand tests from users who received access early.
Why it matters: Early user tests show GPT-6 Astra can check its own work on long tasks but still needs human oversight, revealing its capability limits.
OpenAI launched GPT-6.1 Sol at DevDay, saying it approaches GPT-6 Astra’s intelligence on agentic coding, computer use, and professional work, at one-fifth the standard input and output token price.
Why it matters: OpenAI launched GPT-6.1 Sol at DevDay at one-fifth the price, while also disclosing that GPT-6.1 Astra had been held back over safety concerns.
In a September 29 post, Simon Willison discussed GPT-6.1 Sol’s near-Astra intelligence at about one-fifth the price. The original post did not disclose specific model parameters, benchmark scores, or pricing figures.
Sam Altman shared the introduction of 6.1 Sol, saying it offers intelligence close to Astra at one-fifth the price, with a 95% discount on cached reads. The post also said Ultrafast can make Astra eight times faster and will support 6.1 Sol as well.
OpenAI launched GPT-6.1 Sol, saying it delivers intelligence close to Astra at one-fifth the price and is currently the most cost-efficient model at comparable performance.
Why it matters: OpenAI’s pricing and performance positioning for GPT-6.1 Sol helps readers assess its value against current models.
OpenAI has released GPT-6.1 Sol, saying it approaches the flagship GPT-6.1 Astra—which was delayed over safety concerns—in agentic coding, computer use, and office tasks, at about one-fifth the cost.
Why it matters: With flagship Astra delayed over safety concerns, readers can compare Sol and Astra with Opus 5.5 on price and benchmark gaps.
OpenAI has released GPT-6.1 Sol, positioning it as near-Astra intelligence for coding, computer use, and professional work. Standard API input and output tokens cost one-fifth as much as Astra.
Why it matters: OpenAI describes GPT-6.1 Sol as close to Astra in capability at one-fifth the API price, giving readers a basis for weighing cost against performance.
Anthropic has released Claude Sonnet 5.5. The company says it runs more than 30% faster and costs up to 30% less on most tasks. It retains Sonnet 5's pricing while outperforming its predecessor across benchmarks.
Why it matters: The author tests Sonnet 5.5's coding performance and availability on the free tier, and compares it directly with Opus 5.5.
Anthropic has released Claude Opus 5.5, the first model in its new Claude 5.5 family. The company says it reaches Claude Fable 5.1 levels on most tasks, costs 40% less to run than Opus 5, and becomes the default model in Claude Code and the Claude app.
Why it matters: Two labs launched new models and cut prices sharply on the same day, giving readers a way to compare their approaches to capability and per-task cost.
Anthropic released Claude Opus 5.5, and about an hour later OpenAI released GPT-6 Sol and GPT-6 Luna. The author says GPT-6 Sol and Luna cost half as much as their GPT-5.6 counterparts.
Why it matters: The author tests several models released the same day, provides a full price table, and describes specific cases where reasoning levels failed.
OpenAI has released GPT-6 Sol and GPT-6 Luna, drawing on advances in GPT-6 Astra and positioning the models as faster and cheaper for work at scale. Greg Brockman says they inherit Astra's state-of-the-art performance in professional work, factuality, coding, computer use, and alignment. OpenAI has also improved caching and inference efficiency; API prices for Sol and Luna are 50% lower than GPT-5.6 promotional prices.
Why it matters: OpenAI brings Astra-level advances to faster, cheaper Sol and Luna models and states the API price reduction, giving readers a basis for assessing cost changes.
OpenAI has released GPT-6 Sol and Luna, bringing frontier intelligence to everyday work with different balances of capability and cost. The source does not disclose parameter sizes, pricing, or specific performance metrics.
Why it matters: OpenAI has launched two GPT-6 models, Sol and Luna, giving readers a view of their different capability and cost tradeoffs.
In a Latent Space interview, TypeSafe AI founder Diogo Almeida introduces Jev as a System 1 model designed for code consumption and optimized for intelligence per dollar rather than chat experience. Its key innovation is unpublished RLCD (Reinforcement Learning for Calibrated Decisions), which uses calibrated probabilities instead of human-rating feedback.
Why it matters: Almeida revisits the strategic split between RLHF and RLCD and explains why the model is optimized for reliability rather than benchmark scores.
OpenAI has released GPT-6 Astra, which it calls its most capable model for enterprise use, with stronger reasoning, computer use, and judgment in writing and design.
Why it matters: OpenAI's positioning of GPT-6 Astra for enterprise gives readers an update on its reasoning and computer-use capabilities.
DeepSeek has released DeepSeek-V4-Pro, highlighting upgraded agent capabilities and notable production gains. V4-Pro and V4-Flash offer flexible reasoning levels: low for simple tasks, high for everyday agent workflows, and max for complex tasks. The model natively supports the OpenAI Responses API and is optimized for Codex with one-click configuration. It is now available in the app, on the web in Expert Mode, and through the API; its model name is unchanged.
Why it matters: The official announcement describes V4-Pro's agent upgrades and three reasoning levels, helping readers understand its position in production workflows.
Nick Turley welcomes the Instant update, saying hundreds of millions of people use this version of ChatGPT by default and highlighting improvements in intelligence, concision, accuracy, and conversation quality. In the quoted post, @michpokrass says gpt-5.5 instant shipped today and is rolling out to everyone over the next couple of days, describing gains in factuality, “crushing hacks,” and baseline intelligence, with significantly fewer hallucinations.
Why it matters: Instant’s role as the default ChatGPT version for hundreds of millions of people gives the reported improvements in accuracy and conversational quality a broad everyday audience.
