readable AI benchmarks (simplified)

readable AI benchmarks

Claude Opus 4.7 (Adaptive Reasoning, Max Effort) has a Quality Score of 63.1, ranking 36th among 551 scored models. Per 1M tokens, pricing is $5.00 input, $25.00 output, $0.500 cached input, and $6.25 cache write. It accepts text, image, and pdf input, outputs text, and has a 1M token context window. Its Reliability Score is 63.6, ranking 32nd among 553 scored models, above average (total average: 35.6). Its Value Score is 37.7, high compared with the total Value average of 30.7.

Quality Score63.1coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available

Value Score37.7

Factual reliability63.6

Cache Discount90%

Model specification

Reasoning: reasoning
Input modalities: text, image, pdf
Output modalities: text
Context window: 1M tokens
Weights: closed weights

Token prices USD per 1M tokens

Input: $5.00
Output: $25.00
Cached Input: $0.500
Cache write: $6.25
Cost per task: not available

Capability

Intelligence: 40.7
Coding: not available
Agentic: not available
Omniscience: 27.3
Correct: 48.9%
Blended price: $3.85

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 70.5%

Correct 48.9%Incorrect 21.6%Partial / not attempted 29.5%

Artificial Analysis benchmarks

GDPval-AA v2: 42%
τ³-Banking: 35%
Humanity’s Last Exam: 42%
GPQA Diamond: 91%
CritPt: 12%
AA-Omniscience: 64%
AA-LCR: 79%

Similar models

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