AI Benchmark Model

Claude Opus 4.7 (Non-reasoning, High Effort)

Benchmark scores, pricing, speed, and model comparisons for Claude Opus 4.7 (Non-reasoning, High Effort).

Key scores

Intelligence51.8Index score
Coding53.1Index score
Speed42.3Tokens/sec
Blended Cost$10.94Per 1M tokens

Claude Opus 4.7 is a non-reasoning, high-effort AI model developed by Anthropic and released on April 16, 2026. In performance evaluations, the model achieved an intelligence index of 51.8 and a coding index of 53.1. Benchmark results include a GPQA score of 0.885, an HLE score of 0.312, a SciCode score of 0.501, and an IFBench score of 0.436. Additionally, the model recorded an LCR of 0.67, a TerminalBench Hard score of 0.545, and a TAU2 score of 0.739. Regarding operational metrics, the model provides an output speed of 43.414 tokens per second with a time to first token of 1.338 seconds. Pricing is set at $6.25 per million input tokens and $25.00 per million output tokens.

Benchmark results

7 tracked benchmark rows for Claude Opus 4.7 (Non-reasoning, High Effort).

GPQA Reasoning
88.5%
TAU2 Other
74.0%
LCR Other
67.0%
TerminalBench Hard Other
54.5%
SciCode Other
50.1%
IFBench Other
43.6%
HLE Other
31.2%

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