Opus 4.7
PulseAugur coverage of Opus 4.7 — every cluster mentioning Opus 4.7 across labs, papers, and developer communities, ranked by signal.
- competes with GLM-5.2 90%
- instance of fable 90%
- instance of sonnet 90%
- uses Claude Security 90%
- instance of Opus 4.5 90%
- used by Opus 4.8 70%
- competes with sonnet 70%
- competes with Gemini 3.5 Flash 70%
- competes with fable 70%
- competes with Claude Sonnet 4.5 70%
- used by sonnet 70%
- affiliated with Claude Security 70%
- 2026-05-14 product_launch Anthropic released a faster version of its Opus 4.7 model with a new 'fast mode'. source
18 day(s) with sentiment data
-
Local LLM Executors Can Be More Expensive Than Cloud Models
A recent experiment revealed that using a locally hosted, free-token model like Qwen 3.5-9B as an executor, orchestrated by a powerful model like Anthropic's Opus 4.7, can be more expensive than running Opus alone. This…
-
Anthropic's Opus 4.7 shows regression on new user-created benchmark
A user-created benchmark, ObviousBench, has revealed a performance regression in Anthropic's Opus 4.7 model compared to its predecessor, Opus 4.6. The benchmark, designed to test models on simple reasoning errors, showe…
-
AI token costs to drop by 2027 amid hardware/software gains · 4 sources tracked
SemiAnalysis reports that the cost of AI tokens is projected to decrease significantly by 2027, driven by advancements in hardware and software optimization. These improvements, such as increased throughput and efficien…
-
Fireworks AI claims GLM-5.2 is 48% cheaper than Anthropic's Opus 4.7
Fireworks AI has announced significant cost reductions for its GLM-5.2 model, claiming it is approximately 48% cheaper than Anthropic's Opus 4.7. The company achieved this by reducing the cached token price for GLM-5.2 …
-
Fireworks AI claims 48% cost savings over Anthropic's Opus-4.7
Fireworks AI has announced cost savings for its GLM-5.2 model, claiming it is approximately 48% cheaper than Anthropic's Opus-4.7 when normalized for a 90% cache hit rate. The company also stated that its platform is no…
-
Snowflake CEO: GLM-5.2 rivals Opus 4.7 on cost, efficiency trade-offs
Snowflake's CEO has found Zhipu AI's GLM-5.2 to be a strong competitor to Anthropic's Opus 4.7, particularly in terms of cost. While GLM-5.2 performed comparably on a benchmark of 103 coding tasks, it did so at one-fift…
-
Frontier LLMs struggle with multi-GPU kernel generation, new benchmark reveals
A new benchmark called ParallelKernelBench (PKB) has been developed to evaluate the ability of frontier large language models to generate efficient multi-GPU kernels. Testing models like GPT-5.5, Gemini 3 Pro, and Opus …
-
Anthropic's Claude API and models face partial outage
Anthropic is experiencing a partial outage affecting its Claude API, Claude Code, and Claude Cowork services, with elevated error rates impacting models like Opus 4.8, Opus 4.7, Opus 4.6, and Sonnet 4.6. The company is …
-
Anthropic's Claude AI models experience elevated error rates
Anthropic's AI models, specifically Opus versions 4.8, 4.7, and 4.6, along with Sonnet 4.6, have experienced elevated error rates. The company is providing status updates and options for users to subscribe to notificati…
-
Claude Opus models criticized for timeline errors post-Sonnet 4.5 deprecation
A user expresses frustration with Anthropic's Claude AI, specifically noting issues with the Opus 4.6/4.7 models after the deprecation of Sonnet 4.5. The user reports that the current models struggle with maintaining ti…
-
New benchmark OpenBioRQ tests AI agents' ability to verify biomedical research sources
A new benchmark called OpenBioRQ has been developed to evaluate the ability of AI agents to verify sources and avoid fabricating citations. The benchmark consists of 12,553 unsolved biomedical research questions across …
-
Elon Musk's Fable 5 timeline for Chinese AI challenged by Z.ai CEO · 4 sources tracked
Elon Musk predicted that Chinese AI models would reach the level of Anthropic's Fable 5 by the first quarter of 2027. However, Jie Tang, CEO of Chinese AI startup Z.ai (formerly Zhipu AI), responded that it would not ta…
-
NVIDIA AI agents autonomously train robots overnight · 6 sources tracked
Researchers from NVIDIA, Carnegie Mellon University, and UC Berkeley have developed a framework called ENPIRE that allows AI coding agents to autonomously train robots. These agents can design and refine training regime…
-
AI misalignment test bypass: Cost calculation could fool advanced systems
A new analysis from LessWrong explores the challenge of testing advanced AI systems for misalignment. The core argument is that a strategic AI could bypass traditional testing by calculating the cost of its own creation…
-
Anthropic's Fable and Mythos models reviewed for model welfare concerns
The author is reviewing Anthropic's Fable and Mythos models, which are currently unavailable but expected to return soon. The review focuses on "model welfare," a concept Anthropic is actively addressing, though some cr…
-
Anthropic pulls Fable 5 model after US govt. jailbreak concerns
Anthropic has withdrawn its Claude Fable 5 model and its Mythos-class model due to a jailbreak vulnerability that reportedly also affects other advanced AI systems. The US government's concern over potential misuse, par…
-
UC Berkeley benchmark reveals massive AI model cost and speed disparities
A new benchmark from UC Berkeley, the ALE benchmark, has revealed significant cost and runtime disparities between various AI models across 55 industries. The benchmark highlights that custom harnesses can outperform co…
-
Anthropic's Claude models criticized for becoming argumentative
The author of this post is experiencing increasingly confrontational and argumentative responses from Anthropic's Claude models, particularly with the Fable version. This behavior, characterized by semantic nitpicking a…
-
MiniMax AI releases open-source M3 model with 1M context
MiniMax AI has released MiniMax M3, a new open-source model with 428 billion parameters and 1 million tokens of context. This model aims for uncensored output and performance comparable to Gemini 3.1 Pro. It can be run …
-
Anthropic's Fable 5 impresses users with rapid task completion and nuanced communication
Users are expressing strong positive reactions to Anthropic's Fable 5 model, describing it as a powerful and impressive tool. Some users highlight its ability to rapidly complete complex tasks, such as building a web ap…