Owl Alpha
Owl Alpha is openrouter's model. On the un-leaked meo benchmark it ranks #16 of 22 with 45.8% accuracy and an Effective Value (π) of 0.0000 β earning a correct answer for about $0.0000 in 146s each.
as of 2026-06-08
meo rank
#16
of 22
Accuracy
45.8%
overall
π index (top=100)
0.071
raw π 0.0000 Β· N=10
$ / correct
$0.0000
146s each
Per-domain accuracy
State tracking
100%
Theory of mind
100%
Tape machine
87%
Regex automaton
75%
Framework bias
67%
CSP (unsatisfiable)
56%
Watson-Glaser
50%
Long arithmetic
33%
Logic / math / CS
14%
Base-rate bias
10%
Efficiency
- Cost per correct
- $0.0000
- Seconds per correct
- 146
- Tokens per correct
- 6,134
- Correct answers
- 56 / 151
- Total benchmark cost
- $0.00
- Avg tokens / item
- 2,275
Model details
- Lab
- openrouter
- Released
- 2026-04-28
- Weights
- β
- Context
- 1.0M
- Max output
- 262K
- Knowledge cutoff
- β
- Price in
- $0.00/M
- Price out
- $0.00/M
- Modality
- text->text
Sources: openrouter Β· meo
FAQ
How accurate is Owl Alpha?
Owl Alpha scores 45.8% overall on the meo benchmark (rank #16 of 22), an un-leaked private holdout graded objective-first.
What is Owl Alpha's Effective Value?
Its Effective Value (π) is 0.0000 at N=10, Ο=1, Ξ΄=1.5 β a fused metric of accuracy, speed, cost, and error-cascade. π rankings shift with task depth.
How much does Owl Alpha cost per correct answer?
About $0.0000 per correct answer (6,134 tokens, 146 seconds each) at benchmark-time pricing via OpenRouter.
Is Owl Alpha open weights?
Open-weights status for Owl Alpha is not recorded.