Anthropic
Anthropic's latest generally available flagship. Improves on Opus 4.6 for advanced software engineering, long-running task reliability, self-verification, and high-resolution vision while keeping the same pricing.
Improves on Opus 4.6 for advanced software engineering, long-running task reliability, self-verification, and high-resolution vision while keeping the same pricing.
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Quality Score
1301
Arena ELO
Undisclosed
Parameters
200K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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89.7K
Downloads
0
Likes
Apr 2026
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
Claude-Opus-4 - LiveCodeBench
LiveCodeBench pass@1 62.4 across 1055 tasks
View sourceClaude-Opus-4 - LiveCodeBench
LiveCodeBench pass@1 62.4 across 1055 tasks
View sourceIntroducing Claude Opus 4.7
Users report being able to hand off their hardest coding work—the kind that previously needed close supervision—to Opus 4.7 with confidence. And—although it is less broadly capable than our most powerful model, Claude Mythos Preview—it shows better results than Opus 4.6 across a range of benchmarks: Last week we announced Project Glasswing , highlighting the risks—and benefits—of AI models for cybersecurity. Clarence Huang VP of Technology Anthropic has already set the standa
View source1301
ELO Score
1293 - 1309
95% Confidence
+/-8 points
13.7K
Battles
Jun 13, 2026
Last Updated