readable AI benchmarks (simplified)

readable AI benchmarks

Institute of Foundation Models

K2 Horizon 3.7B

reasoning · open weights · Sep 3, 2026

K2 Horizon 3.7B does not yet have enough benchmark data for a Quality Score. It has a 524,288 token context window.

Quality Scorenot availableQuality unavailable: missing AA Intelligence and AA-Omniscience outcomes
Value Scorenot available
Factual reliabilitynot available
Cache Discountnot available

Model specification

Reasoning
reasoning
Input modalities
none
Output modalities
none
Context window
524,288 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
not available
Omniscience (native net)
not available
Correct
not available
Blended price
not available

Answer outcomes

Fully graded outcomes (Correct + Incorrect): not available

Omniscience outcome data not available for this model.

Artificial Analysis benchmarks aa-v5

Current Intelligence Index components

AA-Briefcase v1.1
793.2 Elo
AutomationBench-AA
14.7%
private 657-task split from dataset v1.0.6
GDP.pdf
3.2%
Terminal-Bench v4.0
0.0%
AA mini-swe-agent standardized runs · 66 tasks, pass@1 averaged over 3 repeats per task

Standalone evaluations

GDPval-AA v2.1
888.8 Elo
GPQA Diamond
69.2%
τ³-Banking
19.6%

Historical evaluations

SciCode v1.0.1
22.0%
AA Long Context Reasoning v1.1
62.3%
Humanity's Last Exam
13.9%
CritPt
0.0%
Terminal-Bench v2.1
28.1%

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