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The LLM benchmark aggregator.

K2 Horizon 375B A23B

Institute of Foundation Models · 375B · A23B

Strongest in Knowledge work (#31 of 178), weakest in General intelligence (#72 of 204). Above par in 17 of 17 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Claude Fable 5 and ahead of MiniMax M3 and Gemini 3.5 Flash.

§ 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.

Agents59.3#37/268
Knowledge work62.1#31/178
Tool use60.1—/81✱
Web research50.5—/4✱
Workflow automation50.8—/0✱
Core abilities52.3#69/204
General intelligence53.3#72/204
Long context59.3—/0✱
Reasoning51.3—/178✱
Science54.3—/122✱
Expert reasoning52.4—/0✱
Coding52.5—/165✱
Agentic coding51.8—/157✱
Code generation53.8—/77✱
Repository Q&A60.7—/0✱
Knowledge52.3—/138✱
Factuality53.4—/0✱

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for K2 Horizon 375B A23B, left for the other.

Granite 4.2 3Bwon 11 · lost 0
Granite 4.2 8Bwon 11 · lost 0
G9v3 39A5Bwon 12 · lost 0
K2 Horizon 32Bwon 12 · lost 0
Granite 4.2 30Bwon 13 · lost 0
Nemotron 3 Superwon 13 · lost 0
Qwen3.6 35B A3Bwon 14 · lost 0
K2 Horizon MoVA 36B A4Bwon 13 · lost 1
K2 Horizon 3.7Bwon 10 · lost 1
Nemotron 3 Ultrawon 14 · lost 2
K2 Horizon 7Bwon 10 · lost 2
Gemma 4 31Bwon 11 · lost 3
Inklingwon 13 · lost 4
Muse Glimmer-30Bwon 9 · lost 3
Gemini 3.5 Flashwon 8 · lost 3
MiniMax M3won 10 · lost 7
DeepSeek V4 Flashwon 6 · lost 7
GLM-5.2won 7 · lost 9
Grok 4.5won 4 · lost 7
DeepSeek V4 Prowon 4 · lost 9
GPT-5.6 Terrawon 4 · lost 11
GPT-5.6 Lunawon 4 · lost 12
DeepSeek V4.1 Flashwon 3 · lost 10
Kimi K3won 3 · lost 10
Qwen3.8 27Bwon 3 · lost 11
GPT-5.6 Solwon 3 · lost 11
GLM-5.3won 2 · lost 11
Claude Sonnet 5won 2 · lost 14
Claude Fable 5won 0 · lost 11
Claude Opus 5won 0 · lost 13

§ 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 2026-09-26
Artificial Analysis Intelligence Index 31
GDPval-AA ↗1 measureread 2026-09-26
GDPval-AA 1349
AA-Briefcase ↗1 measureread 2026-09-26
AA-Briefcase 1295
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 2026-09-26 · the full index · JSON API