readable AI benchmarks (simplified)

readable AI benchmarks

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Muse Ember (Xhigh)

reasoning · closed weights · release date not listed

Muse Ember (Xhigh) has a Quality Score of 44.0, ranking 79th among 245 scored models. Per 1M tokens, pricing is $0.100 input, $0.500 output, and $0.0040 cached input. It has a 1,048,576 token context window. Its Reliability Score is 53.9, ranking 87th among 252 scored models, above average (total average: 47.0). Its Value Score is 40.4, high compared with the total Value average of 28.7.

Quality Score44.0coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score40.4
Factual reliability53.9
Cache Discount96%

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
$0.100
Output
$0.500
Cached Input
$0.0040
Cache write
not available
Cost per task
$0.116

Capability

Intelligence
34.1
Omniscience (native net)
7.7
Correct
21.4%
Blended price
$0.073

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 35.0%

Correct 21.4%Incorrect 13.6%Partial / not attempted 65.0%

Artificial Analysis benchmarks aa-v5

Current Intelligence Index components

AA-Briefcase v1.1
1527.0 Elo
AutomationBench-AA
66.7%
private 657-task split from dataset v1.0.6
GDP.pdf
22.4%
FrontierCode v2.0
22.0%
AA Stirrup · 132 tasks, 3 attempts per task
Terminal-Bench v4.0
35.4%
AA mini-swe-agent standardized runs · 66 tasks, pass@1 averaged over 3 repeats per task
AA-Omniscience v1.1
7.7 native net
HLE-Diamond
23.6%
CritPt v2 Hard
38.5%
AA Stirrup · hard subset, 40 of 70 problems
Terminal-Bench-Science v0.1.0
17.6%

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