readable AI benchmarks (simplified)

readable AI benchmarks

Anthropic

Claude Opus 5 (Low)

reasoning · closed weights · release date not listed

Claude Opus 5 (Low) has a Quality Score of 62.4, ranking 53rd 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 64.3, ranking 37th among 573 scored models, above average (total average: 36.5). Its Value Score is 37.2, high compared with the total Value average of 31.4.

Quality Score62.4coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score37.2
Factual reliability64.3
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
$1.10

Capability

Intelligence
39.4
Coding
not available
Agentic
not available
Omniscience
28.6
Correct
56.0%
Blended price
$3.85

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 83.3%

Correct 56.0%Incorrect 27.4%Partial / not attempted 16.7%

Artificial Analysis benchmarks

GDPval-AA v2
40%
τ³-Banking
30%
SciCode
49%
Humanity’s Last Exam
43%
GPQA Diamond
89%
CritPt
23%
AA-Omniscience
64%
AA-LCR
81%

DeepSWE operational cross-check

Pass@1
58.1%
Avg steps/scored attempt
35.64
Mean cost/scored attempt (USD)
$1.66
Mean output tokens/scored attempt
19,884.314
Mean duration/scored attempt (s)
469 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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