Scaledown model
Summarize API cost calculator
Summarize costs $0.04 per 1M input tokens and free per 1M output tokens on the Scaledown API, with a 1M-token context window. A typical request (2K input, 500 output tokens) costs <$0.0001 — about $2.40/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Summarize
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | <$0.0001 | $0.02 |
| RAG query with context | 4,000 / 500 | $0.0002 | $0.16 |
| Document summarization | 20,000 / 1,000 | $0.0008 | $0.80 |
| Agent coding session | 100,000 / 5,000 | $0.0040 | $4.00 |
Summarize vs other Scaledown models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Summarize | $0.04 | free | 1M |
| Extract | $0.04 | free | 1M |
Frequently asked questions
How much does Summarize cost per 1M tokens?
According to current pricing data, Summarize costs $0.04 per 1M input tokens and free per 1M output tokens. Processing 1M tokens each way costs $0.04.
What does a typical API request to Summarize cost?
A typical request with 2,000 input tokens and 500 output tokens costs <$0.0001. At 1,000 requests per day that is $0.08 daily, or about $2.40 per month.
What is Summarize's context window?
Summarize supports a 1M-token context window (1,000,000 tokens).
Does Summarize support prompt caching?
No cache-read pricing is published for Summarize, so every input token is billed at the full $0.04 per 1M rate.
What is a cheaper alternative to Summarize?
gpt-oss-20b from OpenAI is currently the cheapest comparable option at $0.02 per 1M input tokens versus $0.04 for Summarize — roughly 2x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Summarize vs gpt-oss-20b pricing, or run Summarize head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.