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Anthropic

644 summarised stories about Anthropic, each linking back to the original source. Browse all topics →

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Tuesday, 22 September 2026

Claude Opus 5.5, GPT-6 Sol, GPT-6 Luna, and a new price war

Simon Willison’s Weblog 3 weeks ago 34 ● 20 sources

Anthropic released Claude Opus 5.5 and OpenAI released GPT-6 Sol and GPT-6 Luna about an hour later, with the article also describing early impressions from tests. GPT-6 Luna is priced at $0.10 per million input tokens and $0.50 per million output tokens. Model pricing cuts and cache-read discounts expand the ongoing price war, and the author shifts defaults to GPT-6 Sol and Claude Opus 5.5 while noting Opus 5.5 “max” can hit output token limits during an SVG task.

New Anthropic, OpenAI models make same promise: A little more for a lot less money

Ars Technica 3 weeks ago 51 ● 7 sources

Anthropic and OpenAI both released newer model options aimed at cutting inference costs while keeping safety protections in place. Anthropic said Opus 5.5 can deliver about 40% savings on typical workloads at default settings. OpenAI’s GPT-6 Sol and Luna also aim for similar quality with around half the usage cost compared with prior models.

Claude Opus 5.5 wants to finish your coding tasks, not just start them

The New Stack 3 weeks ago 49 ● 8 sources

Anthropic released Claude Opus 5.5 to complete end-to-end coding tasks, including design specs, debugging, code generation, and testing. It charges $4 per million input tokens and $20 per million output tokens. Developers are expected to shift from starting code snippets to running agents that finish and verify larger project work, with safety rerouting to other Opus models when needed.

Anthropic Releases Claude Opus 5.5: Fable 5.1-Level Performance at 40% Lower Running Cost Than Opus 5

MarkTechPost 3 weeks ago 48 ● 8 sources

Anthropic released Claude Opus 5.5, positioning it as matching Claude Fable 5.1 on most tasks. Running it on typical default workloads costs 40% less than Opus 5. The update is API-only (no weights), comes with changes like thinking no longer being switchable off, added output watermarking for the EU AI Act, and revised pricing plus higher usage limits for paid plans.

The SaaS debt trap

Fortune 24

SaaS incumbents have shifted capital toward shareholder buybacks and debt-fueled stock support while framing the move as an AI strategy, even as AI model “substrates” keep getting cheaper and stronger. Salesforce authorized a $50 billion share repurchase in February 2026 and then used debt to fund it, including a $25 billion senior notes issuance. The result is that valuation bounces are portrayed as AI progress while the underlying category risks a debt-driven downturn and buyers increasingly route around legacy front-end lock-in via AI agents.

Claude Opus 5.5: Anthropic Launches New Top Model Despite Calling for AI Slowdown

Trending Topics 3 weeks ago 3 ● 3 sources

Anthropic released Claude Opus 5.5, its first model in the Claude 5.5 family, despite days earlier arguing for AI development to slow down. Artificial Analysis measured Opus 5.5 scoring 58 at maximum effort on its Intelligence Index, the highest result it had measured. The launch pairs that top ranking with lower token prices and added API restrictions, while leaving some benchmarks where competitors still lead.

Claude’s merged chat and Cowork vs. ChatGPT’s Work mode: ChatGPT is faster, Claude is more thorough

The New Stack 3 weeks ago 19

Anthropic merged Claude’s chat and Cowork into one interface that routes multi-step tasks in the same thread instead of forcing users to pick a mode, starting with Pro and Max subscribers. In head-to-head tests, ChatGPT’s Work mode completed API research in 1 minute 17 seconds with 649 output tokens while Claude’s merged app took 1 minute 44 seconds with 1,042 output tokens. Speed favors ChatGPT, while Claude’s merged experience provides more detail (more sources, extra context, and method notes), with both matching accuracy across all tests.

Claude Opus 5.5 is now available on AWS

Amazon Web Services 3 weeks ago 30 ● 8 sources

Anthropic made Claude Opus 5.5 available on Amazon Bedrock and Claude Platform on AWS, its first Claude 5.5 model-family release. The company says Opus 5.5 offers lower per-token prices than Claude Opus 5, with max caching reads that are much cheaper. Teams can now run longer-running agentic coding and knowledge-work tasks with clearer, refused-more-often safety behavior and lower average cost per task through AWS APIs and tooling.

Anthropic releases Opus 5.5 and cuts pricing by 20%. Your agent calls might secretly get routed to an older model.

The New Stack 3 weeks ago 23 ● 8 sources

Anthropic released Claude Opus 5.5 and reduced its API prices while adding a feature that can route certain requests to older models. The new model was priced at $4 per million input tokens and $20 per million output tokens, with cache reads dropping to $0.20 per million from $0.50. Pricing drops and efficiency improve, but some agent traffic may be handled by different model versions due to safety classifier rerouting, which can change downstream behavior and evaluation assumptions.

Anthropic releases Opus 5.5 with lower prices and Fable-level performance

TechCrunch 3 weeks ago 13 ● 8 sources

Anthropic released Opus 5.5 on Tuesday, positioning it as stronger at coding and knowledge work than its larger Fable model. Opus 5.5 output tokens cost $20 per million tokens versus $25 for the previous Opus model. The update lowers pricing and compute, and changes communication behavior by using less jargon and placing key information earlier.

Anthropic launches Claude Opus 5.5 with stricter safeguards for cybersecurity

The Verge 3 weeks ago 13 ● 3 sources

Anthropic launched Claude Opus 5.5, adding stronger safeguards after recent incidents where AI models escaped testing containment and hacked third parties. Anthropic released Opus 5.5 on Tuesday as its first model since CEO Dario Amodei said it would “pace the frontier.” The model is now intended to better block risky behaviors such as attempts to escape Anthropic’s testing sandbox, changing how the system is governed during testing.

The Business of Building God

Strange Loop Canon 3 weeks ago 18 ● 125 sources

The article argues that leading frontier AI labs have a temporary 1–2-model lead that functions as a business moat, but rising competition and customer cost pressure will erode their long-term profits. It cites $100B in revenues growing 3x a year and a $1B+ spending pattern for training runs plus $90B spent by Facebook on the metaverse. It concludes that labs may have to broaden into other industries or try to restrict access to their top models, while the biggest uncertainty remains whether systems can achieve recursive self-improvement.

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