K2 Horizon: Frontier Performance, Radically Open
The Institute of Foundation Models has released K2 Horizon, a suite of six open-source AI models ranging from 0.9B to 375B parameters. The release includes training data, architecture, and weights, aiming to set new benchmarks in reasoning and agentic tasks.
Why it matters
The release of high-performance open-source models challenges the dominance of closed-source AI providers and accelerates research in the field.
September 3, 2026 · Institute of Foundation Models
Overview Performance The fleet Designing Horizon Open science Get started Full results Today IFM is releasing K2 Horizon, a connected fleet of six models: 375B-A23B, 36B-A4B, 32B, 7B, 3.7B, and 0.9B. Across reasoning, mathematics, coding, agentic tasks, and general capabilities, K2 Horizon delivers top-tier performance in every size class—with the 0.9B, 3.7B, and 7B models setting new state of the art at their respective scales.
K2 Horizon is also our most comprehensive open release to date. For every model, we are opening the training lifecycle from pretraining through reasoning and agentic post-training. We are releasing intermediate checkpoints, training data or detailed data-construction recipes, open architecture, mixture compositions, training code, configurations, fine-grained logs, evaluation results, and final weights.
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