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K2 Think V2

LLM360 · 2026-01-27 · 72.6B parameters

K2 Think V2 is LLM360's 70B open-weight general reasoning model, built on K2-V2-Instruct and post-trained with two stages of reinforcement learning with verifiable rewards (RLVR) using GRPO. Its chat template defaults to high reasoning effort, while low and medium settings remain available but were not evaluated in the official release. The checkpoint supports up to 262,144 tokens through 2× YaRN scaling from a 131,072-token serving context, and official evaluations report strong results on AIME 2025, HMMT 2025, and GPQA-Diamond.

Benchmark scores

BenchmarkScore
AA-Briefcase Elo34.0
AA-Briefcase v1.1 Elo7.5
AA-LCR52.7
AA-LCR v1.157.0
AA-Omniscience Index-40.3
Artificial Analysis Agentic Index1.8
Artificial Analysis Coding Index21.0
Artificial Analysis Intelligence Index17.3
Artificial Analysis Omniscience Accuracy18.0
Artificial Analysis Omniscience Hallucination Rate71.2
Artificial Analysis Openness Index88.9
Artificial Analysis Progress Index v1215
Capability134.6
CritPt (avg@5)0.0
GDPval-AA v2328
GDPval-AA v2 (normalized)0.0
GDPval-AA v2.1138
GPQA Diamond (Artificial Analysis avg@5)71.3
Humanity's Last Exam (Text-Only)10.1
IFBench (Artificial Analysis avg@5)62.8
RegretBench (goal success)74.5
RegretBench (normalized regret)8.8
SciCode (Artificial Analysis avg@3)33.0
Terminal-Bench 2.115.0
Terminal-Bench Hard6.8
τ²-bench (Telecom)25.4
𝜏³-Banking5.4
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