Updated 7 h ago · first seen 14 Sept 2026
model_01M2GYGDGN6M41DC4Q8EY3PAG2
Overview
Identity
- Canonical model
- Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
- Official checkpoints
- None recordedofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
- Artifacts
- None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
- Provider deployments
- None recorded
- API aliases
- k2-mova-36b-mid5Identifiers under which providers and evaluators refer to this model.
- Folded evaluation variants
- 0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.
Openness
Openness not classified yet — no sourced evidence to place this model in the ontology.
Capabilities
Modalities
Modalities unavailable.
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Yes
Artificial Analysis · T2
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No structured attributes yet.
Benchmarks6
Compare with another model →Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric
Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 6 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →
Versions & Artifacts0
Version history
No versioned property recorded yet.
Artifacts 0
No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.
Timeline7
Full timeline →New model: K2 Horizon MoVA 36B A4B (MBZUAI Institute of Foundation Models)
artificial_analysisK2 Horizon MoVA 36B A4B scores 56.55% on Terminal-Bench
artificial_analysisK2 Horizon MoVA 36B A4B scores 0% on Terminal-Bench
artificial_analysisK2 Horizon MoVA 36B A4B scores 40.05% on SciCode
artificial_analysisK2 Horizon MoVA 36B A4B scores 23.45% on Humanity's Last Exam
artificial_analysisK2 Horizon MoVA 36B A4B scores 82.22% on GPQA Diamond
artificial_analysisK2 Horizon MoVA 36B A4B scores 25.67 on Artificial Analysis Intelligence Index
artificial_analysis
Change history3
Aa context windowaa_context_window1
Aa opennessaa_openness1
Reasoningreasoning1
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
Provenance
Attributed facts
3
Source tiers
T23
Freshest observation
7 h ago
Conflicts
None
Source documents 1
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.
Data quality (39/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →