Levelmodel
Classreasoning
Parameters32B
Context128,000
Releasednot in the notes
Opennessunknown
Runs onnot in the notes
Statusactive
Benchmark Results
independent
Artificial Analysis Intelligence Index v4.3.2composite index
asterisk on pageindependent
11
03060
Score in index. Higher is better.
AA leaderboard, 205 current models
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).
R&D Topics
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes
- Total parameters
- 32B sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- 128,000 tokens
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- unknown
- Licence
- not in the notes sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
Developer
Naverbig tech, South Korea
Naverbig tech, South KoreaModelHyperCLOVA X SEED Think 32BNaver, reasoning
HyperCLOVA X SEED Think 32BNaver, reasoningR&D TopicsReasoning via Large-Scale RLRegional or National Foundation Model Training (Continued Pretraining at 7B to 70B)
Use CasesIndonesian and Regional-Language LLMsPublic SectorBanking Customer Service AssistantsFinanceCitizen Service AssistantsPublic SectorChinese Medical LLMsHealthcare+1 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT PegadaianIn production, 5 Jun 2026
Bank Central Asia (BCA)In production, 16 Mar 2026Bank Central Asia (BCA)In production, 16 Mar 2026
Pemerintah Provinsi DKI Jakarta (Jakarta Utara pilot)Pilot, Aug 2025+8 moreDeployments of these use cases; none names this model.
PT PegadaianIn production, 5 Jun 2026Bank Central Asia (BCA)In production, 16 Mar 2026Bank Central Asia (BCA)In production, 16 Mar 2026Pemerintah Provinsi DKI Jakarta (Jakarta Utara pilot)Pilot, Aug 2025+8 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 2
Regional or National Foundation Model Training (Continued Pretraining at 7B to 70B)Pretraining or continued pretraining a mid-size model to serve a national or regional lan…produced byReasoning via Large-Scale RLReinforcement learning on outcomes, often verifiable math or code, to produce long reason…produced by
Sources
- CLOVA clova.ai https://clova.ai/en/tech-blog
- LLM Leaderboard - Comparison of AI models from OpenAI, Anthropic, Google, SpaceXAI & others | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/leaderboards/models
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "HyperCLOVA X SEED Think 32B", https://aurion.semai.id/models/naver-hyperclova-x-seed-think-32b/, records of October 2026.