readable AI benchmarks (simplified)

readable AI benchmarks

MBZUAI Institute of Foundation Models

K2 Horizon 0.9B

reasoning · open weights · release date not listed

K2 Horizon 0.9B has a Quality Score of 3.7, ranking 289th among 295 scored models. It has a 131,072 token context window. Its Reliability Score is 13.6, ranking 278th among 295 scored models, below average (total average: 35.6).

Quality Score3.7coverage 78.8%: missing Epoch General ECI, Coding, CursorBench 3.2, Agentic and DeepSWE v1.1
Value Scorenot available
Reliability13.6
Cache Discountnot available

Model specification

Reasoning
reasoning
Input modalities
none
Output modalities
none
Context window
131,072 tokens
Weights
open weights

Token prices USD per 1M tokens

Input
not available
Output
not available
Cached Input
not available
Cache write
not available
Cost per task
not available

Capability

Intelligence
3.0
Coding
not available
Agentic
not available
Omniscience
-72.8
Correct
6.9%
Blended price
not available

Answer outcomes

Attempt rate: 86.7%

Correct 6.9%Incorrect 79.8%Abstained 13.3%

Artificial Analysis benchmarks

GDPval-AA v2
0%
τ³-Banking
5%
Terminal-Bench v2.1
1%
SciCode
7%
Humanity’s Last Exam
5%
GPQA Diamond
29%
CritPt
0%
AA-Omniscience
14%
AA-LCR
6%

Similar models