#25Anthropic· released 2026-06-30

Anthropic: Claude Sonnet 5.

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...

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Context
1.0M
Input $/1M
$2.00
Output $/1M
$10.00
Modality
text · image · file
Arena Elo
1532
LMArena — human blind votes
AA Index
60.0
Artificial Analysis composite
LiveBench
76.5
Contamination-resistant
GPQA
82.4%
Grad-level science reasoning
MMLU-Pro
84.1%
Broad knowledge
SWE-bench
65.6%
Real GitHub bugs (Verified)
Terminal-Bench
50.4%
Agentic shell tasks
ARC-AGI
18.9%
Abstract reasoning
Aider Polyglot
76.1%
Multi-language code editing
Speed
97 tok/s
Median output speed

Profile

Anthropic: Claude Sonnet 5 is Anthropic's entry at position #25 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