#20Anthropic· released 2026-07-24

Anthropic: Claude Opus 5.

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis...

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Context
1.0M
Input $/1M
$5.00
Output $/1M
$25.00
Modality
text · image · file
Arena Elo
1524
LMArena — human blind votes
AA Index
63.0
Artificial Analysis composite
LiveBench
77.9
Contamination-resistant
GPQA
82.4%
Grad-level science reasoning
MMLU-Pro
83.9%
Broad knowledge
SWE-bench
75.1%
Real GitHub bugs (Verified)
Terminal-Bench
58.9%
Agentic shell tasks
ARC-AGI
29.7%
Abstract reasoning
Aider Polyglot
83.8%
Multi-language code editing
Speed
43 tok/s
Median output speed

Profile

Anthropic: Claude Opus 5 is Anthropic's entry at position #20 on the current aggregated leaderboard. Its strongest signals are graduate-level science reasoning, real-world software engineering, unattended agentic work, and very long context. Every figure below is aggregated from the public sources listed on the homepage and refreshed on each pipeline run.

The score spread is comparatively complete for this model, but the standing advice still applies: treat gaps of a few points as ties and validate on your own workload before committing.

How this model's position is computed is documented in the methodology; what each benchmark actually measures is in the benchmark guide. See a figure that disagrees with its source? Report it — accepted corrections apply on the next refresh.

Nearby on the leaderboard