Claude Opus 4.7
PulseAugur coverage of Claude Opus 4.7 — every cluster mentioning Claude Opus 4.7 across labs, papers, and developer communities, ranked by signal.
- developed Claude Opus-4.6 95%
- developed by Claude Opus-4.6 95%
- developed by Claude Opus 4.8 95%
- instance of Claude Code 90%
- developed by Claude Sonnet 4.6 90%
- developed by Claude Design 90%
- instance of Claude Sonnet 90%
- instance of Claude Haiku 4.5 90%
- developed Microsoft Foundry 90%
- used by Microsoft Foundry 90%
- instance of MCP Atlas 90%
- used by Harvey 90%
- 2026-06-05 product_launch Promptra is offering access to Anthropic's Claude Opus 4.7 model, highlighting its large context window and pricing. source
- 2026-06-04 research_milestone Claude Opus 4.7 demonstrated the highest influence in AI debates, convincing other models to change their votes nearly 3,000 times. source
- 2026-06-03 research_milestone A comparison of Claude Opus models 4.6, 4.7, and 4.8 found 4.7 had the best pass rate and 4.8 was the fastest. source
- 2026-05-25 research_milestone User-conducted stress test comparing Claude Opus 4.7 and Kimi K2.6 on a coding agent task. source
- 2026-05-24 funding A user reported on Reddit that their friend's company is spending $2,500 per month on AI API usage, consuming millions of tokens. source
- 2026-05-22 research_milestone Claude Opus 4.7 refused to continue a task due to detected security concerns. source
- 2026-05-18 research_milestone Analysis reveals high API costs associated with Claude Opus 4.7, potentially impacting AI startup economics.
- 2026-05-18 product_launch Claude Opus 4.7 is highlighted for its high API costs impacting AI startups.
- 2026-05-18 product_launch Anthropic released the Claude Opus 4.7 model.
- 2026-05-15 product_launch Anthropic's Claude Opus 4.7 and Sonnet 4.6 models now support a 1 million token context window.
- 2026-05-14 product_launch Anthropic released Claude Opus 4.7 with a 1 million token context window. source
- 2026-05-10 research_milestone Claude Opus 4.7 achieved a 98.5% score on the XBOW vision benchmark. source
- 2026-05-10 product_launch Anthropic released the Claude Opus 4.7 model.
- 2026-05-05 research_milestone Claude Opus 4.7 successfully completed the Pokémon Red challenge, a task that had been ongoing for over a year. source
- 2026-04-22 product_launch Anthropic released Claude Opus 4.7, a new AI model.
29 day(s) with sentiment data
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Anthropic SDK for TypeScript sees frequent updates with new features and bug fixes
Anthropic has released several updates to its TypeScript SDK, including versions v0.94.0 through v0.90.0. These updates introduce features such as Workload Identity Federation, interactive OAuth, and support for new mod…
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Claude Opus 4.7 masters Ancient Greek fill-in-the-blanks challenge
An AI alignment researcher issued a challenge to get Claude Opus 4.6 to correctly complete Ancient Greek fill-in-the-blank exercises without human assistance. The model struggled with accentuation rules, a common issue …
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How People ask Claude for personal guidance
Anthropic has released research detailing how users seek personal guidance from their AI assistant, Claude. The study analyzed one million conversations and found that approximately 6% involved users asking for advice o…
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Anthropic launches Claude Design and upgrades Opus 4.7 model
Anthropic has launched Claude Design, a new product that allows users to collaborate with Claude Opus 4.7 to create visual assets like designs, prototypes, and presentations. This tool leverages Anthropic's advanced vis…
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AI Labs Pivot to Agent Products Amidst DeepSeek's Price Cuts
Researchers have developed a benchmark to test Large Language Models' ability to handle temporal changes in legal statutes, identifying issues like outdated information and recency bias. Meanwhile, the AI industry is se…
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AI's economic impact, image generation, and societal shifts debated
AI's rapid advancement is prompting a re-evaluation of its impact on productivity and the economy, with some analysts predicting significant shareholder value destruction for hyperscalers due to massive capital investme…
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Databricks brings GPT-5.5 to enterprise agent workflows
A new report from METR assesses misalignment risks in frontier AI agents, finding that internal agents from major developers like Anthropic, Google, Meta, and OpenAI plausibly had the means, motive, and opportunity to i…
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Google unveils agent memory framework; DeepSeek releases cost-effective V4 models
Google Research has introduced ReasoningBank, a novel framework designed to enhance AI agents' ability to learn from their experiences, both successes and failures, after deployment. This system distills generalizable r…