LiquidAI: LFM3-1.7B (free) vs Mistral: Mistral Nemo
A side-by-side comparison of LiquidAI: LFM3-1.7B (free) (Free) and Mistral: Mistral Nemo ($0.10 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| LiquidAI: LFM3-1.7B (free) | Mistral: Mistral Nemo | |
|---|---|---|
| Provider | LiquidAI | Mistral |
| Input | - | $0.10 / 1M tokens |
| Output | - | $0.11 / 1M tokens |
| Context window | 262,144 | 131,072 |
| Max output | 8,192 | 16,384 |
| Input | text | text |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Nov 6, 2026 | Jul 19, 2024 |
Key differences
- LiquidAI: LFM3-1.7B (free) reads 2.0× more context (262,144 tokens).
- Only LiquidAI: LFM3-1.7B (free) supports reasoning effort control.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "liquid/lfm-3-1.7b:free" to "mistralai/mistral-nemo" 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": "mistralai/mistral-nemo",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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