K2 Horizon MoVA Card - AA-LCR: leaderboard
AA-LCR (Artificial Analysis Long Context Reasoning): questions that require reasoning across sets of long documents. Scores in percent from IFM's K2 Horizon MoVA 36B A4B model card, which states that all reported MoVA results use high reasoning effort. The card takes its six baseline scores from Artificial Analysis (Muse Glimmer-30B at high reasoning effort, the other open models in reasoning mode), so this table mixes IFM's MoVA result with copied third-party numbers and is separate from Artificial Analysis's own AA-LCR board.
Metric: Score (%). Source: huggingface.co. Saturation forecast: Around February 2027. 7 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Muse Glimmer 30B (High) | 80 | #371 (Muse Glimmer 30B) |
| 2 | Gemma 4 31B (IT) (Reasoning) | 68.3 | #343 (Gemma 4 31B (IT)) |
| 3 | Qwen 3.6 35B A3B (Reasoning) | 66.7 | #461 (Qwen 3.6 35B A3B) |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=k2-horizon-mova-card-aa-lcr · How It Works · Data refreshed daily, snapshot 2026-11-12.