Upstage

Researched 4d ago
RAGAgentsLong contextClassificationJSON / Tool use

Upstage offers 1 tracked model (1 with output token pricing). This catalog covers rag, agents, and long context; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 5 workload areas across 1 tracked model; last verified 2026-09-28.

Use it for

  • Teams comparing token and batch pricing across this provider's models
  • Operators routing rag, agents, and long context workloads through this API

Do not use it for

  • Final benchmark picks without opening the relevant model detail page

Tracked models

1

Models available through this provider

Priced output routes

1

Models with output token pricing tracked

Cheapest output

Unknown

Output pricing not yet tracked

Batch-ready models

0

No batch pricing tracked

Latest model release

2026-09-22

10d since newest release

Freshness

2026-09-28

Researched 4d ago

fresh

Information

Models1
CompanyUpstage

Upstage is a Korean AI company offering API access to its Solar LLM and document processing AI services for enterprise knowledge workflows.

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Where this host wins

  • RAG: 1 tracked model with ruler / needle retrieval benchmarks.
  • Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 1 tracked model with context-token or InfiniteBench-class signal.
  • Classification: 1 tracked model with MMLU-class moderation/safety coverage.

Platform Overview

Upstage is a Korean AI company offering API access to its Solar LLM and document processing AI services for enterprise knowledge workflows.

Available Models(1)

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All models available as Serverless

ModelInput (per 1M)Output (per 1M)
Solar Decide$0.1$0

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