MODEL PROFILE

K2-Horizon-32B

IFM · K2-Horizon-32B

K2-Horizon-32B is the large dense member of the K2-Horizon family: a 32B decoder-only model with a 512K context window. Open-weight dense models K2-Horizon-32B Qwen3.8-27B Muse Glimmer-30B IBM Granite 4.2 30B # Params 32B 27B 30B 30B # Activated params 32B 27B 30B 30B Architecture Dense Dense Dense Dense Agents tau3-Banking Agentic tool use 24.1 48.0 23.5 14.4 Coding Terminal-Bench 2.1 Agentic terminal use 62.6 79.8 51.7 26.6 SciCode Scientific coding 37.9 44.7 43.6 36.6 Scientific Reasoning Humanity's Last Exam (without tools) Expert-level reasoning 25.2 33.9 22.0 11.2 GPQA Diamond Graduate-level science QA 82.8 90.5 83.5 64.4 CritPt Frontier physics reasoning 2.9 5.4 2.6 0.3 General AA-LCR Long-context reasoning 68.0 77.3 80.0 46.7 AA-Omniscience Accuracy Factual accuracy 18.2 15.6 27.0 10.1 AA-Omniscience Non-Hallucination Non-hallucination rate 69.7 69.7 18.1 74.4 Scores in %. Bold marks the best score in each row. Sections follow the Artificial Analysis Intelligence Index categories. Baseline scores are from Artificial Analysis; Muse Glimmer-30B at high reasoning effort, other open models in their reasoning mode.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:17:16
OVERVIEW

Model overview

K2-Horizon-32B is the large dense member of the K2-Horizon family: a 32B decoder-only model with a 512K context window. Open-weight dense models K2-Horizon-32B Qwen3.8-27B Muse Glimmer-30B IBM Granite 4.2 30B # Params 32B 27B 30B 30B # Activated params 32B 27B 30B 30B Architecture Dense Dense Dense Dense Agents tau3-Banking Agentic tool use 24.1 48.0 23.5 14.4 Coding Terminal-Bench 2.1 Agentic terminal use 62.6 79.8 51.7 26.6 SciCode Scientific coding 37.9 44.7 43.6 36.6 Scientific Reasoning Humanity's Last Exam (without tools) Expert-level reasoning 25.2 33.9 22.0 11.2 GPQA Diamond Graduate-level science QA 82.8 90.5 83.5 64.4 CritPt Frontier physics reasoning 2.9 5.4 2.6 0.3 General AA-LCR Long-context reasoning 68.0 77.3 80.0 46.7 AA-Omniscience Accuracy Factual accuracy 18.2 15.6 27.0 10.1 AA-Omniscience Non-Hallucination Non-hallucination rate 69.7 69.7 18.1 74.4 Scores in %. Bold marks the best score in each row. Sections follow the Artificial Analysis Intelligence Index categories. Baseline scores are from Artificial Analysis; Muse Glimmer-30B at high reasoning effort, other open models in their reasoning mode.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。