Upstage Solar models: a 524K context at a low token price
Upstage
Services found: 3
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 1 |  Solar Pro 3 Upstage |    | $0.15 / $0.6 | 131.1K tokens | API only | 0.6 | View | |
| 2 | Solar Pro 4 Upstage | | $0.30 / $1.20 | 524.3K tokens | API only | 1.2 | View | |
| 3 | Solar Mini 4 Upstage |  | $0.1 / $0.4 | 512K tokens | API only | 0.4 | View |
Browse by need
Upstage builds the Solar family, a Korean line-up known for strong performance at small parameter counts and for document understanding tooling around it.
The positioning is enterprise document work: extraction, classification and summarisation over business paperwork, where a compact model that can be self-hosted often beats a frontier API on both cost and data control.
Compact and openSmall models with published weights.
Document focusBuilt around business paperwork rather than chat.
Korean labStrong regional language coverage.
Models from this vendor
3 Upstage models in this rating. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Benchmark against a comparable model from a larger vendor before committing production traffic — line-ups this size get less independent testing.
- Start with Solar Mini 4 at $0.1 / $0.4 per 1M tokens; it is the cheapest entry point here.
- Move up to Solar Pro 3 at $0.15 / $0.6 only where the cheaper variant visibly fails, not by default.
- Check the context window against your longest input — the largest here is Solar Pro 4 at 524.3K tokens.
Common mistakes
Assuming parity with the majorsOn the hardest tasks the frontier labs remain ahead; compare on your own cases.
Skipping the exit planA smaller vendor can change terms or availability faster. Identify a fallback model before you depend on this one.
Who this suits
Cost-driven teamsSolar Pro 4 at $0.03 / $0.12 undercuts most mainstream options.
EvaluatorsA useful comparison point when benchmarking the models against larger line-ups.
Regional usersRelevant where this vendor platform or language coverage matters more than raw capability.
Related filters
Text & chat228 models for text generation and chat
Reasoning169 models that think before answering
Tool calling166 models that call your functions
Frontier tier41 flagship models, the best each vendor sells
Alibaba (Qwen)34 models in this rating
OpenAI30 models in this rating
Google DeepMind17 models in this rating
Frequently asked questions
What is Solar best at?
Document extraction and classification rather than open-ended reasoning.
Can I self-host it?
Yes — the weights are published.
How does it handle Korean?
It is a core strength, stronger than most Western models of comparable size.
How many Upstage models are in this rating?
3, covering text & chat, reasoning, tool calling.
Is Upstage a good default choice?
For most teams no — start with a mainstream vendor and use this one where its pricing or specialisation gives a concrete advantage.
Frequently searched
By capabilityReasoningCodingVisionLong context 1M+Free tierOpen weightsLow latencyRealtime voiceImage generation
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