AI Model Atlas / Kt
Mi:dm K 3.0 Pro
One million input tokens cost $0.20 and one million output tokens $0.80. Context window: 262k tokens, about 436 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 | $0.0021 |
| 100 chat queries700 tokens per question and 400 per answer | 70,000 tokens | 40,000 tokens | $0.05 |
| Hour of work with an agentagent reads repository and writes fixes | 250,000 tokens | 30,000 tokens | $0.07 |
Technical details
| Provider | Kt |
| Modalities | text → text |
| Context window | 262k tokens (~436 A4 pages) |
| Maximum response | 236k tokens |
| Step-by-step reasoning | yes |
| Tool calling | no |
| Forced JSON format | yes |
| Knowledge cutoff | not specified |
| Cache read | $0.040 per million |
| Content moderation | no extra filter |
How it compares to the rest
The database contains 469 models. In terms of input pricing Mi:dm K 3.0 Pro is more expensive than 30 percent of paid models. A longer context window is available in 322 models.
This model's price history builds from the day the atlas launched. New measurements are added once a day; the chart will appear when there are at least two data points.
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 |
|---|---|---|---|---|
| GPT-4.1 Mini (batch)OpenAI | $0.20 | $0.80 | $0.0021 | 1M |
| Qwen3 VL 8B InstructQwen (Alibaba) | $0.25 | $0.75 | $0.0020 | 262k |
| Qwen-PlusQwen (Alibaba) | $0.26 | $0.78 | $0.0021 | 1M |
| Qwen3.6 35B A3BQwen (Alibaba) | $0.10 | $0.90 | $0.0021 | 262k |
Compare Mi:dm K 3.0 Pro with another model or go back to the full database 469 models.