inclusionAI: Ling 3.0 Tiny vs ScaleDown: Extract
A side-by-side comparison of inclusionAI: Ling 3.0 Tiny ($0.05 / 1M tokens) and ScaleDown: Extract ($0.14 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| inclusionAI: Ling 3.0 Tiny | ScaleDown: Extract | |
|---|---|---|
| Provider | inclusionAI | ScaleDown |
| Input | $0.05 / 1M tokens | $0.14 / 1M tokens |
| Output | $0.16 / 1M tokens | - |
| Cache read | $0.01 / 1M tokens | - |
| Context window | 262,144 | 1,000,000 |
| Max output | 250,000 | 900,000 |
| Input | text | text, image, file |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Aug 6, 2026 | Oct 13, 2026 |
Key differences
- inclusionAI: Ling 3.0 Tiny is 63% cheaper on input tokens.
- ScaleDown: Extract reads 3.8× more context (1,000,000 tokens).
- Only inclusionAI: Ling 3.0 Tiny supports tool calling.
- Only inclusionAI: Ling 3.0 Tiny supports structured JSON output.
- Only inclusionAI: Ling 3.0 Tiny supports reasoning effort control.
- A request with 1,000 input and 500 output tokens costs $0.000131 with inclusionAI: Ling 3.0 Tiny and $0.000140 with ScaleDown: Extract.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "inclusionai/ling-3.0-tiny" to "scaledown/extract" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "scaledown/extract",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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