Upstage: Solar Pro 3
Reason Deeper. Scale Effortlessly
Deploy Production Reasoning Now
MoE Architecture
102B Parameters Active 12B
Tripled scale over Solar Pro 2 delivers 30% reasoning gains without TPS or cost increase.
Instruction Following
52% IFBench Improvement
Excels in multi-step tasks and user intent capture for Korean and English queries.
Enterprise Ready
Same Latency Costs
Retains Solar Pro 2 efficiency for complex agent workflows and production stability.
Examples
See what Upstage: Solar Pro 3 can create
Copy any prompt below and try it yourself in the playground.
Logic Puzzle
“Solve this step-by-step: Three houses in a row, labeled A B C. A has red door, B blue, C green. Owners: Smith likes cats, Jones dogs, Lee birds. Smith not in green. Dogs not next to birds. Who owns birds?”
Math Proof
“Prove by induction: Sum of first n even numbers equals n(n+1). Show base case, assume for k, prove for k+1. Explain each step clearly.”
Code Debug
“Fix this Python function that sorts list but fails on duplicates: def sort_unique(lst): return sorted(set(lst)). Add tests for [1,2,2,3] expecting [1,2,3]. Preserve order where possible.”
Strategy Plan
“Outline 5-step plan to launch AI agent for customer support. Include reasoning for each step, metrics for success, and edge cases like multilingual queries.”
For Developers
A few lines of code.
Reasoning LLM. One Call.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Upstage: Solar Pro 3 on ModelsLab.