UpstagebalancedTool use

Solar Pro 3

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performance while maintaining computational efficiency. Optimized for Korean with English and Japanese support.

128K context·~96K words·

View context details Compare with Writer Palmyra X4

Context window128Ktokens

Context window

This model accepts 128K tokens in one request (~96K words of text).

Context window size128K tokens

4K32K128K1M10M

What fits in one request

Short document
About 1,500 words of text
Fits
Long document
About 37K words of text
Fits
Small codebase
About 150K words of text
Won't fit
Full novel
About 375K words of text
Won't fit

Specifications

Context size, pricing, and release info in one place.

Context window: 128,000 tokens (128K)
Speed tier: balanced
Provider: Upstage
Release date: Jan 2026

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (5)

Tool use: Can call external tools and APIs; Supported
Function calling: Structured function call interface; Supported
Extended thinking: Shows its chain-of-thought reasoning; Supported
Streaming: Returns tokens as they are generated; Supported
Prompt caching: Reuse repeated prompt prefixes cheaply; Supported

Not supported (3)

Vision: Accepts image inputs alongside text; Not supported
Web search: Can browse the web during a request; Not supported
Batch API: Process many requests asynchronously; Not supported

Best for

Jump to a guide or ranking that matches each workload.

Reasoning AI agents Long documents RAG

Compare Solar Pro 3

Open a side-by-side comparison with one click.

Frequently asked questions

Short answers about context size and how this model behaves.

Solar Pro 3 has a context window of 128K tokens (128,000 tokens). This covers most professional use cases including large code files, lengthy reports, and long conversation histories.

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Calculate your savings Learn about Mem0

Example: a multi-turn chat session

Without Mem0~128K tokens sent

Full history

Repeated info

Old context

With Mem0~20K tokens sent

Key memories

Current turn

80% less to send — works with any model