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Kakao Corp.Decision modelActive

Kanana-2-v-decide-3b-2611

Summary

Kakao released Kanana-2-v-decide-3b-2611 on November 6, 2026. It answers supplied choice, yes-or-no, and scoring questions with probabilities instead of free-form text. Inputs can be text, JSON, or chat messages, optionally with up to ten images; the model card lists up to 20,480 input tokens. Video is not supported.

The checkpoint has 3.67 billion parameters, including 0.49 billion in the vision encoder and 3.18 billion in the language model. The weights are available for local use under the Kanana Open License Agreement. That license requires a separate commercial license for third-party access through an API, cloud platform, or other remote service.

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 3 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

Kanana Decision Bench (Text) (Show measurement, test conditions, and source)
Source value
72.5
Score
72.5
Metric
points
Unit
points
Category
decision
Direction
Higher is better
Sample
15909
Source type
vendor-reported
Evaluator
Kakao
Status
active
Retrieved at
2026-11-08
Methodology
Vendor-reported result. Kakao's internal Korean text decision set.
Source Kakao
Decision Index 0.4.1 (Public) (Show measurement, test conditions, and source)
Source value
61.34
Score
61.34
Metric
index score
Unit
points
Benchmark version
0.4.1
Category
decision
Direction
Higher is better
Source type
vendor-reported
Evaluator
Kakao
Status
active
Retrieved at
2026-11-08
Methodology
Vendor-reported result. Public text benchmark as evaluated by Kakao.
Source Kakao
Decision Index Vision 0.4.1 (Public) (Show measurement, test conditions, and source)
Source value
61.12
Score
61.12
Metric
index score
Unit
points
Benchmark version
0.4.1
Category
decision
Direction
Higher is better
Source type
vendor-reported
Evaluator
Kakao
Status
active
Retrieved at
2026-11-08
Methodology
Vendor-reported result. Public vision benchmark as evaluated by Kakao.
Source Kakao

All specifications

Architecture

Model type
A decision model based on Kanana-2-v-3b, pairing the Kanana-2-3b language model with the Kanana vision encoder.
Source: Model type

Input and output

Inputs
Text, JSON, or chat messages, optionally with images.
Source: Inputs

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Access
Kakao published the weights in its official Hugging Face repository; the model card shows local use with Transformers.
Source: Access
License
The Kanana Open License Agreement applies to local use of the weights. A separate commercial license is required to offer third-party access through an API, cloud platform, or other remote service.
Source: License
Shutdown
None announced
no source

API

Model ID
kakaocorp/kanana-2-v-decide-3b-2611
Source: Model ID

Further details

Result
Returns a probability distribution for each supplied choice, yes-or-no, or scoring question. It does not generate free-form text.
Source: Result
Input limits
Up to 10 images and 20,480 input tokens.
Source: Input limits
Video input
Not supported.
Source: Video input
Parameters and embedding
3.67 billion parameters: 0.49 billion in the vision encoder and 3.18 billion in the language model. Output embeddings have 2,560 dimensions.
Source: Parameters and embedding

Sources and data date

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.