readable AI benchmarks (simplified)
Institute of Foundation Models
K2 Horizon 3.7B
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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