Free Models Router vs Recursive: Flint (free)
A side-by-side comparison of Free Models Router (Free) and Recursive: Flint (free) (Free) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Free Models Router | Recursive: Flint (free) | |
|---|---|---|
| Provider | OpenRouter | Recursive |
| Context window | 200,000 | 262,144 |
| Max output | - | 235,929 |
| Input | text, image | text |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Feb 1, 2026 | Oct 21, 2026 |
Key differences
- Recursive: Flint (free) reads 1.3× more context (262,144 tokens).
- Only Free Models Router supports structured JSON output.
In depth
Free Models Router is a text model from OpenRouter, listed under the model id openrouter/free. Recursive: Flint (free) is a text model from Recursive, listed under the model id recursive/flint-v1.0:free. Both are text-in, text-out systems, so neither is a specialised image generator or audio tool, and both are offered as free entries on api14. The two providers are different organisations, so the weights, training choices and serving behaviour behind each model come from separate teams, even though you reach both through the same gateway.
The clearest difference is context. Flint has the larger context window at 262144 tokens, while Free Models Router sits at 200000 tokens, so Flint gives you more room for long inputs. Modalities differ too: Free Models Router accepts text and image input, whereas Flint accepts text only, so if your prompt includes a screenshot, diagram or scanned page, Free Models Router is the one that can take it. On parameters, Free Models Router exposes a wider set, including frequency_penalty, presence_penalty, min_p, repetition_penalty, top_k, reasoning_effort, tool_choice, structured_outputs and max_completion_tokens. Flint exposes a narrower set: include_reasoning, logprobs, max_tokens, reasoning, response_format, seed, stop, temperature, tools, top_logprobs and top_p. The structured output flag is listed only for Free Models Router, which matters if you need the model to conform to a schema. Both list tools and reasoning support, so function calling and reasoning controls are available on either side. The qualitative notes do not mark either model as cheaper, so treat them as about the same price, and check the live table for the current figures.
For a developer choosing between them, start with the input type. If your task involves images alongside text, Free Models Router is the practical choice because Flint does not accept image input at all. If your task is pure text and the input is very long, such as a large codebase dump, a long transcript or a big document set, Flint's larger context window is the advantage. If you need strict structured outputs, Free Models Router lists that parameter and Flint does not, so schema-bound extraction or classification leans toward Free Models Router. If you want fine control over sampling through penalties, top_k or min_p, Free Models Router again offers more knobs. If you mainly want straightforward text generation with reasoning and tool calls and your inputs fit comfortably, either works, and Flint's extra context may let you skip a chunking step.
Calling either model through api14 is the same operation. Both are OpenAI-compatible, so you point your existing client at the api14 base URL, send your usual chat completions request, and change only the model id string. Use openrouter/free for Free Models Router and recursive/flint-v1.0:free for Recursive: Flint (free). Your message structure, authentication header and response parsing stay as they are, which means you can switch between the two for a single request or run them side by side on the same prompt without rewriting integration code. Keep in mind that parameters not supported by the chosen model should be dropped from the request body, since Flint does not accept the penalty, top_k or structured output fields that Free Models Router does.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "openrouter/free" to "recursive/flint-v1.0:free" 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": "recursive/flint-v1.0:free",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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