LLM
Solar Pro 3
Upstage 102B MoE API model with reasoning mode and tool calling; Upstage schedules full deprecation on 30 October 2026 in favour of Solar Pro 4.
Levelmodel
ClassLLM
Parameters102B
Context128,000
Released26 Jan 2026
Opennessunknown
Runs onnot in the notes
Statusactive
Lineage
successor
Solar Pro 4 is a child (successor)medium confidencenotesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.
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
- MoE
- Total parameters
- 102B sources
- Active parameters
- 12B
- 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
- API
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- On-premises deployment by contacting Upstage
- 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
- Korean, English, Japanese
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperUpstagestartup, South Korea
Upstagestartup, South KoreaModelSolar Pro 3Upstage, LLM
Solar Pro 3Upstage, LLMR&D TopicsAgents and Tool UseEfficiency Architectures (MoE, Sparse Attention, Long Context)Reasoning 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 SectorProcess Optimisation and Advanced Process ControlIndustrial+2 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026
PT PegadaianIn production, 5 Jun 2026
Bank Central Asia (BCA)In production, 16 Mar 2026Bank Central Asia (BCA)In production, 16 Mar 2026+14 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026PT PegadaianIn production, 5 Jun 2026Bank Central Asia (BCA)In production, 16 Mar 2026Bank Central Asia (BCA)In production, 16 Mar 2026+14 moreDeployments of these use cases; none names this model.Organisations 1
R&D topics 4
Efficiency Architectures (MoE, Sparse Attention, Long Context)Reducing training and inference cost per capability.produced byRegional 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 byAgents and Tool UseSystems that plan, call tools and act over multi-step tasks.produced by
Sources
- console.upstage.ai/docs/models/solar-pro-3 https://console.upstage.ai/docs/models/solar-pro-3
- console.upstage.ai/docs/models https://console.upstage.ai/docs/models
- openrouter.ai/api/v1/models https://openrouter.ai/api/v1/models
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Solar Pro 3", https://aurion.semai.id/models/upstage-solar-pro-3/, records of October 2026.