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Released on July 24, 2026, Claude Opus 5 maintains the pricing grid of Opus 4.8 ($5 / $25 per million tokens) while doubling the scores on Frontier-Bench v0.1 and achieving Fable 5 on CursorBench 3.2 at half the price. Anthropic's positioning: "frontier intelligence at half the cost."
A tech lead who has already connected their CI pipeline to Claude Sonnet 4.6 or Opus 4.8 wonders, with each Anthropic announcement: "Is it worth changing the ANTHROPIC_MODEL variable?". With Opus 5, released on July 24, 2026, the answer starts to resemble "yes, almost immediately" - provided you look at the right benchmarks.
Anthropic publishes two joint announcements: the public release note and the technical system card. The guiding principle: "double the performance without touching the price".
Three figures to remember, taken from the official blog post:
The pricing remains identical to Opus 4.8: $5 per million input tokens, $25 per million output. A "fast mode" doubles the throughput (2.5×) against a doubling of the price - useful for Claude Code or interactive pipelines where latency kills the experience.
Reading the announcement honestly, Anthropic acknowledges two limitations:
For a dev building a code audit agent, this point matters: Opus 5 will be excellent at generation and review, less so on the "I'll find a CVE in this Rust project" part.
claude-opus-5.No information in the public announcement about the size of the context window - a topic that will quickly resurface in dev discussions, especially for ingesting large repos with Claude Code.
If you are already on Opus 4.8, switching to claude-opus-5 is a no-brainer: same price, doubled performance on agentic benchmarks. If you are on Sonnet for cost reasons, this release does not disrupt your equation - but Opus 5's fast mode is worth testing on interactive tasks where latency matters. And keep in mind that Anthropic itself acknowledges that Opus 5 is not the leader everywhere, especially on the offensive security side.
Article produced by artificial intelligence, reviewed under human editorial control.