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Kanana-2 30B-A3B Thinking

Kakao (Kanana) · Kanana-2 · released 2026-01-14 · data checked 2026-11-01

Kanana-2 30B-A3B Thinking is a 30.7B-parameter Mixture-of-Experts model (3B active per token) from Kakao (Kanana) (Rest of Asia), released 2026-01-14 under the Kanana License license. It scores 50.7 on the Small LM Index, #29 of 34 medium models. It needs about 20.2 GB of memory at 4-bit with an 8K-token context.

Small LM Index
50.7
#29 of 34 scored medium models
Likely 46.2–55.2 · from 4 of 6 core benchmarks
Parameters
30.7B
3B active · MoE
Price per 1M tokens
—
No hosted API on OpenRouter; self-host
Context window
32K
tokens

Benchmarks

Each bar shows this model's score. The tick marks the best medium model on that benchmark. Sources: 6 reported by Kakao (Kanana). How we label sources.

MMLU-Pro Lab-reported Knowledge74.2
Class best: Qwen3.6 27B 86.2
GPQA Diamond Lab-reported Knowledge57.8
Class best: Nanbeige4.3 33B 89.5
AIME Lab-reported Math · AIME 202574.0
Class best: Ternary Bonsai 2 27B 95.8
LiveCodeBench Lab-reported Coding58.8
Class best: Qwen3.8 27B 90.3
IFBench Lab-reported Instruction following47.8
Class best: Sage-A1.5 81.6
IFEval Lab-reported Instruction following82.2
Class best: LFM2.5 24B-A2B 96.8

Not reported: estimated

What the index model expects from this model's other scores. Not a measurement.

Humanity's Last Exam≈ 7
SWE-bench Verified≈ 32

Specifications

Lab
Kakao (Kanana) (KR · Rest of Asia)
Architecture
Mixture-of-Experts
Total parameters
30.7B
Active parameters
3B
Size class
Medium
Context window
32K tokens
Input modalities
text
Reasoning
Reasoning (thinking)
License
Kanana License
Openness
Open weights
Memory to run
~20.2 GB at 4-bit, 8K context (more sizes)
Hugging Face
1.3K downloads (30 days) · 63 likes

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Sources

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Run it locally

No GGUF build from a well-known publisher yet.

vLLM (GPU server)
vllm serve kakaocorp/kanana-2-30b-a3b-thinking-2601
Full-precision weights, for a server GPU.

Memory needed: weights, context cache and runtime buffers.

Quantization4K context32K context
16-bit F1663 GB64 GB
8-bit Q8_034 GB36 GB
4-bit Q4_K_M20 GB21 GB

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