AI Model Atlas / Scaledown
Summarize
One million input tokens cost $0.040 and one million output tokens free. Context window: 1M tokens, about 1,667 A4 pages.
What it costs in practice
Pricing per million tokens doesn't mean anything to anyone, so I convert it to three tasks that people actually give to models. The usage assumptions are listed for each row so you can verify them.
| Task | Input | Output | Cost |
|---|---|---|---|
| 1500-word articlebrief plus finished text in English | 1,500 tokens | 2,200 tokens | $0.0001 |
| 100 chat queries700 tokens per question and 400 per answer | 70,000 tokens | 40,000 tokens | $0.0028 |
| Hour of work with an agentagent reads repository and writes fixes | 250,000 tokens | 30,000 tokens | $0.01 |
Technical details
| Provider | Scaledown |
| Modalities | text + image + files → text |
| Context window | 1M tokens (~1,667 A4 pages) |
| Maximum response | 4k tokens |
| Step-by-step reasoning | no |
| Tool calling | no |
| Forced JSON format | no |
| Knowledge cutoff | not specified |
| Cache read | no data |
| Content moderation | no extra filter |
How it compares to the rest
The database contains 469 models. In terms of input pricing Summarize is more expensive than 4 percent of paid models. A longer context window is available in 146 models.
Input price history
2026-10-14 · $0.0402026-11-11 · $0.040
The chart shows the price of a million input tokens on consecutive measurement days. History starts on the day I launched the atlas and grows with each day. I don't backfill data.
Alternatives at a similar price
Models from other providers whose cost for the same article comes out closest.
| Model | Input / M | Output / M | 1500-word article | Context |
|---|---|---|---|---|
| Mistral NemoMistral AI | $0.029 | $0.030 | $0.0001 | 131k |
| Llama 3.1 8B InstructMeta | $0.020 | $0.040 | $0.0001 | 131k |
| Ling 3.0 TinyInclusionai | $0.015 | $0.045 | $0.0001 | 262k |
| Llama 3 8B LunarisSao10K | $0.040 | $0.050 | $0.0002 | 8k |
Compare Summarize with another model or go back to the full database 469 models.