readable AI benchmarks (simplified)

readable AI benchmarks

Muse Ember (Max) has a Quality Score of 44.9, ranking 71st 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 53.7, ranking 88th among 252 scored models, above average (total average: 47.0). Its Value Score is 41.2, high compared with the total Value average of 28.7.

Quality Score44.9coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available

Value Score41.2

Factual reliability53.7

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: $0.136

Capability

Intelligence: 36.0
Omniscience (native net): 7.4
Correct: 21.1%
Blended price: $0.073

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 34.8%

Correct 21.1%Incorrect 13.7%Partial / not attempted 65.2%

Artificial Analysis benchmarks aa-v5

Current Intelligence Index components

AA-Briefcase v1.1: 1521.2 Elo
AutomationBench-AA: 68.1%
GDP.pdf: 22.8%
FrontierCode v2.0: 27.2%
Terminal-Bench v4.0: 40.9%
AA-Omniscience v1.1: 7.4 native net
HLE-Diamond: 25.1%
CritPt v2 Hard: 39.0%
Terminal-Bench-Science v0.1.0: 20.0%

Similar models

Graph Open on Artificial Analysis