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The LLM benchmark aggregator.

K2 Horizon 375B A23B

Institute of Foundation Models · 375B · A23B

Strongest in Agents (#47 of 298, on 2 of its 6 boards), weakest in Core abilities (#126 of 201). Above par in 15 of 17 scopes.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Agents56#47/298
Knowledge work59.6#50/208
Tool use60.1—/81✱
Web research50.3—/36✱
Workflow automation51—/0✱
Core abilities47.1#126/201
General intelligence45.8#121/181
Long context59.3—/0✱
Knowledge50.9—/197✱
Factuality54.1—/0✱
Reasoning51.3—/195✱
Science54.3—/122✱
Expert reasoning53.5—/0✱
Coding52.5—/179✱
Agentic coding51.6—/173✱
Code generation55.3—/20✱
Repository Q&A60.7—/0✱

§ 3 · Sources

Where the numbers come from

5 publications, 27 figures. Every one links to the page it was read from.

Artificial Analysis ↗1 measureread 2026-11-12
Artificial Analysis Intelligence Index 18
GDPval-AA ↗1 measureread 2026-11-12
GDPval-AA 1365
AA-Briefcase ↗1 measureread 2026-11-12
AA-Briefcase 1292
GDPVal-AA 1441tau3-Banking 34%Toolathlon Verified 65.3%Automation Bench Public 25.3%Apex-Agents (pass@1) 24.8%MCPMark 67.7%BrowseComp 72.8%WildClawBench 50.9%Terminal-Bench 2.1 70.2%SciCode 42.7%SWE-Atlas-QnA 48.4%SWE Bench Pro 42.6%Humanity's Last Exam (without tools) 32%GPQA Diamond 87.3%CritPt 8.6%AA-LCR 76%AA-Omniscience Accuracy 23%AA-Omniscience Non-Hallucination 74.7%
GDPVal-AA (Elo) 1441Toolathlon Verified 65.3%Terminal-Bench 2.1 70.2%SWE-bench Pro (strict) 42.6%MCPMark 67.7%SWE-Atlas-QnA (strict) 48.4%

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✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-12 · the full index · JSON API