Upstage: solar-mini
solar-mini is a language model from Upstage released on Jun 12, 2024. It reads text and writes text, with a 33K token context window and up to 4K tokens per reply.
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It costs $0.15 per million input tokens and $0.15 per million output tokens.
It supports tool calling.
- Modalities
- In / out price
- $0.15 / $0.15 per 1M
- Context
- 33K
- Max output
- 4K
- Released
- Jun 12, 2024
- Knowledge cutoff
- Sep 2024
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
solar-mini pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.15 / 1M tokens | |
|---|---|---|
| Output | $0.15 / 1M tokens |
What solar-mini costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call solar-mini through an OpenAI compatible API.
- Tools
tools - Temperature
temperature
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solar-mini questions
How much does the solar-mini API cost?
$0.15 per million input tokens and $0.15 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of solar-mini?
32,768 tokens of input, and it can write up to 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does solar-mini support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is solar-mini open source?
No. Upstage serves it through an API only, so you cannot download the weights or host it yourself.
When was solar-mini released?
Jun 12, 2024, with training data up to Sep 2024.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.