AI Benchmark Model

Claude Opus 4.7 (Adaptive Reasoning, Max Effort)

Benchmark scores, pricing, speed, and model comparisons for Claude Opus 4.7 (Adaptive Reasoning, Max Effort).

Key scores

Intelligence57.3Index score
Coding52.5Index score
Speed57.1Tokens/sec
Blended Cost$10.00Per 1M tokens

Claude Opus 4.7, developed by Anthropic and released on April 16, 2026, is an adaptive reasoning model designed for high-effort tasks. In standardized evaluations, the model achieved an intelligence index of 57.3 and a coding index of 52.5. Performance metrics indicate an output speed of 48.002 tokens per second with a time to first token of 21.112 seconds. Benchmark results include 0.914 on GPQA, 0.396 on HLE, 0.545 on SciCode, 0.586 on IFBench, 0.703 on LCR, 0.515 on TerminalBench Hard, and 0.885 on TAU2. Pricing for this model is set at $6.25 per million input tokens and $25.00 per million output tokens, resulting in a blended cost of $10.94 per million tokens.

Benchmark results

7 tracked benchmark rows for Claude Opus 4.7 (Adaptive Reasoning, Max Effort).

GPQA Reasoning
91.4%
TAU2 Other
88.6%
LCR Other
70.3%
IFBench Other
58.6%
SciCode Other
54.5%
TerminalBench Hard Other
51.5%
HLE Other
39.6%

Comments (0)

No comments yet

Be the first to share your thoughts!