readable AI benchmarks (simplified)

readable AI benchmarks

Anthropic

Claude Opus 5 (Max)

reasoning · closed weights · Jul 24, 2026

Claude Opus 5 (Max) has a Quality Score of 73.3, ranking 18th among 571 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 68.5, ranking 22nd among 573 scored models, above average (total average: 36.5). Its Value Score is 43.7, high compared with the total Value average of 31.4.

Quality Score73.3coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score43.7
Factual reliability68.5
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
$5.86

Capability

Intelligence
50.8
Coding
not available
Agentic
not available
Omniscience
37.1
Correct
60.9%
Blended price
$3.85

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 84.7%

Correct 60.9%Incorrect 23.8%Partial / not attempted 15.3%

Artificial Analysis benchmarks

GDPval-AA v2
61%
τ³-Banking
42%
SciCode
56%
Humanity’s Last Exam
55%
GPQA Diamond
93%
CritPt
29%
AA-Omniscience
69%
AA-LCR
79%

DeepSWE operational cross-check

Pass@1
73.6%
Avg steps/scored attempt
99.04
Mean cost/scored attempt (USD)
$11.84
Mean output tokens/scored attempt
117,565.694
Mean duration/scored attempt (s)
1912 s

Mean cost/scored attempt is the official feed's mean_cost_usd: mean benchmark cost in USD per scored attempt under the source's cost basis. It is not Artificial Analysis cost per task and not token price (USD per 1M tokens). Mean output tokens/scored attempt is mean_output_tokens, also averaged over every scored attempt including scored failures. Mean duration/scored attempt is mean_duration_seconds; it is informational only, and wall-clock varies with provider and host load. These three fields do not affect Quality Score, Value Score, or Reliability. Epoch General ECI's benchmark basket includes DeepSWE v1.1, so Epoch General ECI and this DeepSWE cross-check are not independent evidence.

official DeepSWE v1.1 source

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