readable AI benchmarks (simplified)

readable AI benchmarks

Anthropic

Claude Opus 5 (Medium)

reasoning · closed weights · release date not listed

Claude Opus 5 (Medium) has a Quality Score of 67.2, ranking 31st 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 has a 1M token context window. Its Reliability Score is 65.5, ranking 29th among 573 scored models, above average (total average: 36.5). Its Value Score is 40.1, high compared with the total Value average of 31.4.

Quality Score67.2coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score40.1
Factual reliability65.5
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
$2.19

Capability

Intelligence
44.8
Coding
not available
Agentic
not available
Omniscience
31.0
Correct
57.1%
Blended price
$3.85

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 83.1%

Correct 57.1%Incorrect 26.1%Partial / not attempted 16.9%

Artificial Analysis benchmarks

GDPval-AA v2
50%
τ³-Banking
39%
SciCode
52%
Humanity’s Last Exam
51%
GPQA Diamond
92%
CritPt
27%
AA-Omniscience
66%
AA-LCR
82%

DeepSWE operational cross-check

Pass@1
68.9%
Avg steps/scored attempt
52.30
Mean cost/scored attempt (USD)
$3.29
Mean output tokens/scored attempt
36,981.53
Mean duration/scored attempt (s)
759 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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