Anthropic introduces cheaper, more powerful, more efficient Opus 4.5 model

Anthropic introduces cheaper, more powerful, more efficient Opus 4.5 model

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Anthropic today launched Opus 4.5, its flagship frontier design, and it brings enhancements in coding efficiency, in addition to some user experience enhancements that make it more typically competitive with OpenAI’s most current frontier designs.

Possibly the most popular modification for a lot of users is that in the customer app experiences (web, mobile, and desktop), Claude will be less susceptible to suddenly hard-stopping discussions since they have actually run too long. The enhancement to memory within a single discussion uses not simply to Opus 4.5, however to any present Claude designs in the apps.

Users who experienced abrupt endings (in spite of having space left in their session and weekly use budget plans) were striking a tough context window (200,000 tokens). Whereas some big language design executions merely begin cutting earlier messages from the context when a discussion runs past the optimum in the window, Claude merely ended the discussion instead of permit the user to experience a progressively incoherent discussion where the design would begin forgetting things based upon how old they are.

Now, Claude will rather go through a behind-the-scenes procedure of summing up the bottom lines from the earlier parts of the discussion, trying to discard what it considers extraneous while keeping what’s crucial.

Designers who call Anthropic’s API can take advantage of the very same concepts through context management and context compaction.

Opus 4.5 efficiency

Opus 4.5 is the very first design to go beyond a precision rating of 80 percent– particularly, 80.9 percent in the SWE-Bench Verified criteria, directly beating OpenAI’s just recently launched GPT-5.1-Codex-Max (77.9 percent) and Google’s Gemini 3 Pro (76.2 percent). The design carries out especially well in agentic coding and agentic tool usage standards, however still drags GPT-5.1 in visual thinking (MMMU).

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