readable AI benchmarks (simplified)

updated on: Nov 5, 2026, 5:43 AM UTC · 775 models

readable AI benchmarks

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Muse Wonder (High)

reasoning · closed weights · release date not listed

Muse Wonder (High) has a Quality Score of 51.4, ranking 44th among 235 scored models. Per 1M tokens, pricing is $4.00 input, $20.00 output, and $0.200 cached input. It has a 1,048,576 token context window. Its Reliability Score is 62.3, ranking 48th among 242 scored models, above average (total average: 46.3). Its Value Score is 31.6, around average compared with the total Value average of 28.2.

Quality Score51.4coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score31.6
Factual reliability62.3
Cache Discount95%

Model specification

Reasoning
reasoning
Input modalities
none
Output modalities
none
Context window
1,048,576 tokens
Weights
closed weights

Token prices USD per 1M tokens

Input
$4.00
Output
$20.00
Cached Input
$0.200
Cache write
not available
Cost per task
not available

Capability

Intelligence
40.5
Omniscience (native net)
24.5
Correct
38.2%
Blended price
$2.94

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 51.9%

Correct 38.2%Incorrect 13.7%Partial / not attempted 48.1%

Artificial Analysis benchmarks aa-v5

Current Intelligence Index components

AA-Briefcase v1.1
1609.8 Elo
AutomationBench-AA
67.2%
private 657-task split from dataset v1.0.6
GDP.pdf
29.2%
FrontierCode v2.0
26.6%
AA Stirrup · 132 tasks, 3 attempts per task
Terminal-Bench v4.0
38.4%
AA mini-swe-agent standardized runs · 66 tasks, pass@1 averaged over 3 repeats per task
AA-Omniscience v1.1
24.5 native net
HLE-Diamond
34.5%
CritPt v2 Hard
51.0%
AA Stirrup · hard subset, 40 of 70 problems
Terminal-Bench-Science v0.1.0
21.9%

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