readable AI benchmarks (simplified)

readable AI benchmarks

GPT-6 Luna (Non-reasoning) has a Quality Score of 23.3, ranking 188th among 238 scored models. Per 1M tokens, pricing is $0.100 input, $0.500 output, $0.010 cached input, and $0.125 cache write. It has a 1M token context window. Its Reliability Score is 37.1, ranking 177th among 245 scored models, below average (total average: 46.4). Its Value Score is 21.3, low compared with the total Value average of 28.3.

Quality Score23.3coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available

Value Score21.3

Factual reliability37.1

Cache Discount90%

Model specification

Reasoning: non-reasoning
Input modalities: none
Output modalities: none
Context window: 1M tokens
Weights: closed weights

Token prices USD per 1M tokens

Input: $0.100
Output: $0.500
Cached Input: $0.010
Cache write: $0.125
Cost per task: $0.071

Capability

Intelligence: 9.4
Omniscience (native net): -25.8
Correct: 30.1%
Blended price: $0.077

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 86.0%

Correct 30.1%Incorrect 55.9%Partial / not attempted 14.0%

Artificial Analysis benchmarks aa-v5

Current Intelligence Index components

AA-Briefcase v1.1: 903.0 Elo
AutomationBench-AA: 9.1%
GDP.pdf: 5.8%
FrontierCode v2.0: 1.6%
Terminal-Bench v4.0: 1.5%
AA-Omniscience v1.1: -25.8 native net
HLE-Diamond: 6.3%
CritPt v2 Hard: 5.0%
Terminal-Bench-Science v0.1.0: 1.0%

Standalone evaluations

GDPval-AA v2.1: 1051.7 Elo

Historical evaluations

SciCode v1.0.1: 43.1%
AA Long Context Reasoning v1.1: 39.7%
Humanity's Last Exam: 8.6%
CritPt: 1.1%
FrontierCode: 13.8%

Similar models

Graph Open on Artificial Analysis