readable AI benchmarks (simplified)

readable AI benchmarks

Anthropic

Claude Sonnet 5 (High)

reasoning · closed weights · release date not listed

Claude Sonnet 5 (High) has a Quality Score of 48.4, ranking 115th 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 has a 1M token context window. Its Reliability Score is 48.2, ranking 147th among 573 scored models, above average (total average: 36.5). Its Value Score is 32.2, around average compared with the total Value average of 31.4.

Quality Score48.4coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score32.2
Factual reliability48.2
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
$2.00
Output
$10.00
Cached Input
$0.200
Cache write
$2.50
Cost per task
$1.79

Capability

Intelligence
31.7
Coding
not available
Agentic
not available
Omniscience
-3.7
Correct
37.4%
Blended price
$1.54

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 78.6%

Correct 37.4%Incorrect 41.1%Partial / not attempted 21.4%

Artificial Analysis benchmarks

GDPval-AA v2
38%
SciCode
54%
Humanity’s Last Exam
36%
CritPt
15%
AA-Omniscience
48%
AA-LCR
77%

DeepSWE operational cross-check

Pass@1
48.2%
Avg steps/scored attempt
146.58
Mean cost/scored attempt (USD)
$7.43
Mean output tokens/scored attempt
87,294.756
Mean duration/scored attempt (s)
1728 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

Similar models

Support me! Patreon