readable AI benchmarks (simplified)

readable AI benchmarks

Anthropic

Claude Opus 4.6 (Adaptive Reasoning, Max Effort)

reasoning · closed weights · Feb 5, 2026

Claude Opus 4.6 (Adaptive Reasoning, Max Effort) has a Quality Score of 53.0, ranking 75th 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 has a 1M token context window. Its Reliability Score is 56.8, ranking 70th among 553 scored models, above average (total average: 35.6). Its Value Score is 31.6, around average compared with the total Value average of 30.7.

Quality Score53.0coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score31.6
Factual reliability56.8
Cache Discount90%

Model specification

Reasoning
reasoning
Input modalities
none
Output modalities
none
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
31.9
Coding
not available
Agentic
not available
Omniscience
13.7
Correct
47.0%
Blended price
$3.85

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 80.3%

Correct 47.0%Incorrect 33.3%Partial / not attempted 19.7%

Artificial Analysis benchmarks

Humanity’s Last Exam
40%
GPQA Diamond
90%
CritPt
13%
AA-Omniscience
57%
AA-LCR
78%

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