readable AI benchmarks (simplified)

readable AI benchmarks

Anthropic

Claude Sonnet 5 (Max)

reasoning · closed weights · Jun 30, 2026

Claude Sonnet 5 (Max) has a Quality Score of 58.5, ranking 65th among 571 scored models. Per 1M tokens, pricing is $2.00 input, $10.00 output, $0.200 cached input, and $2.50 cache write. It accepts text, image, and pdf input, outputs text, and has a 1M token context window. Its Reliability Score is 58.2, ranking 75th among 573 scored models, above average (total average: 36.5). Its Value Score is 38.8, high compared with the total Value average of 31.4.

Quality Score58.5coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score38.8
Factual reliability58.2
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
$2.00
Output
$10.00
Cached Input
$0.200
Cache write
$2.50
Cost per task
$5.09

Capability

Intelligence
38.2
Coding
not available
Agentic
not available
Omniscience
16.4
Correct
40.1%
Blended price
$1.54

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 63.7%

Correct 40.1%Incorrect 23.6%Partial / not attempted 36.3%

Artificial Analysis benchmarks

GDPval-AA v2
48%
τ³-Banking
37%
SciCode
54%
Humanity’s Last Exam
41%
GPQA Diamond
91%
CritPt
17%
AA-Omniscience
58%
AA-LCR
82%

DeepSWE operational cross-check

Pass@1
53.8%
Avg steps/scored attempt
268.45
Mean cost/scored attempt (USD)
$26.40
Mean output tokens/scored attempt
214,117.55
Mean duration/scored attempt (s)
4804 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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