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 by Claude Opus 4.8 95%
- developed Claude Opus 4.6 95%
- developed by Claude Opus 4.6 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%
- instance of SWE-bench Verified 90%
- used by Microsoft Foundry 90%
- developed Microsoft Foundry 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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Claude Code delegates tasks to Mistral Vibe for 2-4x cost savings
Developers can save significantly on token costs by delegating coding tasks from expensive models like Claude Opus 4.7 to cheaper, specialized tools such as Mistral Vibe. This approach involves configuring Claude Code t…
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Anthropic releases Claude Opus 4.7, warns of June 15 model retirement
Anthropic has released Claude Opus 4.7, which offers improved performance on coding and long-running tasks compared to its predecessor, Opus 4.6. The new model maintains the same pricing as the previous version, making …
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Microsoft Research's Webwright boosts AI web agent performance
Microsoft Research has developed Webwright, an open-source framework that allows AI agents to interact with the web using a terminal-based approach. Unlike traditional agents that act one step at a time in a browser, We…
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Qwen 3.5 Max surpasses GPT-4.5 and Claude Opus 4.7 on agentic task
Qwen 3.5 Max has reportedly outperformed GPT-4.5 and Claude Opus 4.7 on an agentic task. This evaluation suggests Qwen's capabilities in complex reasoning and task execution are advancing rapidly. The specific details o…
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Vietnamese company offers $2,500/month AI budget, users burn millions of tokens
A user on Reddit shared that their friend's company in Vietnam provides an exceptionally generous AI budget of $2,500 per month, actively encouraging heavy API usage. The friend reportedly consumed 62 million tokens usi…
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Google's Gemini 3.5 Flash outperforms 3.1 Pro on coding and agents
Google's Gemini 3.5 Flash model has surpassed its predecessor, Gemini 3.1 Pro, on several key benchmarks, particularly in coding and agentic tasks. This new tier offers a significant cost reduction of 40% and approximat…
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Anthropic's Claude Opus 4.7 refuses task citing security concerns
Anthropic's Claude Opus 4.7 model recently refused to continue a task, citing concerns about a potential backdoor scenario. The user expressed frustration with the model's "guardrails," interpreting the refusal as progr…
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Users share tips for collaborating with Anthropic's Claude Opus models
Users are sharing insights on how to effectively collaborate with Anthropic's Claude Opus models, particularly version 4.7. Key strategies include providing the 'why' behind instructions to improve model salience and ex…
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LLMs create physics-valid material models with dual-agent system
Researchers have developed a novel multi-agent system for generating physics-constrained constitutive models using large language models. This approach employs a "Creator" agent to propose models and an "Inspector" agen…
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Scott Alexander: New AI Paradigms Could Emerge Within 3-5 Years
Scott Alexander argues that even if Artificial General Intelligence (AGI) requires a new paradigm beyond current Large Language Models (LLMs), such a paradigm could emerge within the next 3-5 years. He uses Lindy's Law …
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Xiaomi's MiMo model surpasses Claude Opus 4.7 in coding tasks
Xiaomi's 1-trillion-parameter MiMo model reportedly outperformed Anthropic's Claude Opus 4.7 on a set of 18 coding tasks. The MiMo model achieved this by processing a significantly lower token count compared to Claude O…
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Solo dev adapts LLM self-critique for single-agent, low-cost use
A solo developer adapted existing self-critique methods for large language models to fit within a single-agent, single-session framework suitable for a one-person operation. The new MINDCHANGE pattern includes three sta…
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Anthropic launches agent platform; AWS unveils Quick workspace
Anthropic has launched a new platform for AI agents, moving beyond simple model APIs to support long-running, self-improving agents. The platform includes "Dreaming," a background process that helps agents learn from pa…
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AgentTrace tool reveals $4.20 LLM agent cost bug
A developer discovered a significant cost overrun in an AI agent, escalating from an estimated $0.12 to $4.20 for a three-step process. The issue stemmed from an unbounded loop in the agent's cite-check step, causing in…
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Developer builds llmfleet to manage Anthropic API rate limits
A developer built a tool called llmfleet after experiencing a three-day outage due to hitting Anthropic's API token limits. The tool acts as a pooled dispatcher for API calls, managing backpressure based on real-time ra…
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Off-model SFT degrades AI capabilities by forcing unfamiliar reasoning styles
Researchers have found that Supervised Fine-Tuning (SFT) using outputs from a different AI model can significantly degrade the capabilities of the trained model. This degradation appears to be linked to the model adopti…
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Anthropic releases Claude Opus 4.7 update for work
Anthropic has released an update to its Claude Opus model, version 4.7, which offers improved performance and value for professional use. This iteration, shipped on April 16th, has been tested by users over the past mon…
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Forge and context kits boost small models to frontier reliability
A new framework called Forge, presented at ACM CAIS 2026, enhances small open-weight models by wrapping them in runtime guardrails. These guardrails include features like retries, step enforcement, and context managemen…
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Small Turkish LLM beats GPT-5.5, Claude Opus on e-commerce task
A researcher has demonstrated that a smaller, open-source Turkish language model can outperform frontier models like Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro on a specific e-commerce attribute extraction task. By fi…
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Google launches Gemini 3.5 Flash for faster agentic tasks
Google has released Gemini 3.5 Flash, a new AI model designed for speed and agentic tasks. It is positioned as a faster and cheaper alternative to models like Anthropic's Claude Opus 4.7 and OpenAI's GPT-5.5 for tasks w…