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K2 Horizon MoVA 36B A4B

Institute of Foundation ModelsOpen WeightApache 2.0 · Commercial OK

Description

K2 Horizon MoVA 36B-A4B is the sparse mid-size member of IFM's (MBZUAI) fully open K2 Horizon family: a Mixture-of-Experts reasoning model with 36B total and about 4B active parameters per token (48 layers, 100 routed experts with 8 active plus 1 shared expert) that also uses IFM's new Mixture-of-Value Attention (MoVA), where a router selects a few value-projection experts per token. Pretrained on 22.9T tokens with a native 524,288-token (512K) context window from midtraining onward. Text in, text out, with per-request reasoning effort (high recommended) and JSON/XML tool-call formats. Released 2026-09-03 under Apache 2.0 with BF16 weights plus FP8 and GGUF builds, intermediate checkpoints, training data, code, and logs. No priced provider is cataloged yet.

Release Date
2026-09-03
Parameters
36.0B
Context Length
—
Modalities
—

Capability Radar

40
general
50
coding
20
reasoning
51
scienceest.
40
agents
30
multimodal

Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.

Rankings

Domain#RankScoreSource
Agentic Capability44
54.0
LS

Benchmark Scores (LLM Stats)

(LLM Stats (zeroeval))

Agents

Tau3 Banking26.8%SR

Knowledge

OmniScience (non-hallucination rate)69.2%SR

Reasoning

GPQANYU + Cohere + Anthropic (2023)80.8%SR
AA-LCR66.3%SR
Terminal-Bench 2.158.6%SR
SciCode38.9%SR
Humanity's Last Exam25.2%SR
CritPT2.1%SR

Science

OmniScience18.8%SR

AA Evaluation Indices

(Artificial Analysis)

No AA evaluation data available

LLM Stats Category Scores

(LLM Stats (zeroeval))
Long Context
70
Physics
60
Biology
60
Chemistry
60
Code
50
Knowledge
40
Reasoning
40
Science
40
General
40
Agents
40
Tool Calling
40
Vision
30
Math
20

Pricing

No pricing data available

Speed

No speed data available

Provider Price Ranking

No provider data available

External Sources