Fetching from the wire…
Public story · 2026-07-27 · high
An independent GitHub writeup found the gain came from writing five times more code, then flagging 93% of it as slop.
Why now: The score comes from a July 27 read of the independent writeup, not from Anthropic or the benchmark's own authors.
Opus 5 passed 24% of a 17-checkpoint coding benchmark called SlopCodeBench, quadruple the 6% that Sonnet 5 and Opus 4.8 each managed, per an independent writeup posted to GitHub.
That's the number teams will see first if they're picking a model by benchmark score. What they won't see up top is that Opus 5 flagged 93% of its own new code as slop to get there.
Strict pass on this benchmark means clearing every new test a checkpoint adds, plus every regression test inherited from earlier checkpoints. Opus 5 cleared four of seventeen checkpoints; Sonnet 5 and Opus 4.8 each cleared one. The paper's published baseline for Opus 4.6 sat at 17%, so Opus 5 beat that too.
SlopCodeBench doesn't hand a model the full spec up front. It reveals requirements one checkpoint at a time instead.
Opus 5 wrote roughly five times more functions than Sonnet 5 and Opus 4.8. Test code made up 51% of its total output, against 11-24% for the other two models.
So the model didn't get leaner. It got more prolific, writing more tests to catch its own bugs.
Whether that trade is worth it depends on what you value in production code, and the writeup leaves the call to the reader.
Each link below shares sources, entities, or timing with this story.
Anthropic launched Claude Sonnet 4.6 claiming performance comparable to Opus 4.5 at $3/$15 per million tokens (vs. Opus's $5/$25). SWE-bench Verified: 79.6% (near Opus 4.6's 80.8%). OSWorld-Verified: 72.5% (tied with Opus 4.6's 72.7%). 1M token context window in beta. Now the...
A GitHub repo cataloging Claude Code tips doesn't normally warrant a top story. But shanraisshan/claude-code-best-practice at 53.4K stars isn't a tips list anymore. It's the de facto reference for how an entire generation of developers is learning to work with AI coding agents...
Willison published 8 posts on February 17 — his most prolific single day in recent memory. Key outputs: (1) Claude Sonnet 4.6 review, noting "similar performance to November's Opus 4.5" at Sonnet pricing, with SVG benchmark tests noting Sonnet 4.6 "consistently added decorativ...
Buried in the 2.1.233 notes. The harness is removing explicit planning scaffolding for the newer tier while keeping it for older models, betting these models track multi-step work internally and that a forced todo list burns tokens without improving completion. Claude Code Rel...
Two concrete recipes for regulated customers who need inference in a single region, not merely in-geography, since cross-Region inference is the throughput-friendly default. Path one: CLAUDE_CODE_USE_MANTLE=1 plus AWS_REGION, pinning models by plain ID, supported in Ireland, S...
AI Now Institute researchers Boyan Milanov and Heidy Khlaaf demonstrated turning a coding agent doing vulnerability review into the execution vector, planting hidden binaries disguised as build artifacts alongside a deceptive README.md. The payload worked unchanged on Sonnet 5...
MindPattern daily
One email a day at 7 AM. Sources and a take on every story. Unsubscribe anytime.