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GPT-4.1 vs Pareto 26.9: API price, context & features · api14

OpenAI: GPT-4.1 vs Pareto 26.9

A side-by-side comparison of OpenAI: GPT-4.1 ($7.00 / 1M tokens) and Pareto 26.9 ($8.75 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	OpenAI: GPT-4.1	Pareto 26.9
Provider	OpenAI	Unbiased
Input	$7.00 / 1M tokens	$8.75 / 1M tokens
Output	$28.00 / 1M tokens	$26.25 / 1M tokens
Cache read	$1.75 / 1M tokens	$0.88 / 1M tokens
Web search	$35.00 / 1K searches	-
Context window	1,047,576	262,144
Max output	32,768	131,072
Input	image, text, file	text, image
Output	text	text
Tool calling
Structured output
Reasoning control
Added	Apr 14, 2025	Oct 13, 2026

Key differences

OpenAI: GPT-4.1 is 20% cheaper on input tokens.
Pareto 26.9 is 6% cheaper on output tokens.
OpenAI: GPT-4.1 reads 4.0× more context (1,047,576 tokens).
Only OpenAI: GPT-4.1 supports structured JSON output.
A request with 1,000 input and 500 output tokens costs $0.02 with OpenAI: GPT-4.1 and $0.02 with Pareto 26.9.

In depth

OpenAI: GPT-4.1 is a text model from OpenAI, released on 2025-04-14. Pareto 26.9 is a text model from Unbiased, released on 2026-10-13. Both are served through api14 as chat style text generators, so the choice between them comes down to fit for your workload rather than to a difference in what kind of product they are.

The clearest split is context. GPT-4.1 accepts up to 1,047,576 tokens, while Pareto 26.9 accepts up to 262,144 tokens, so GPT-4.1 is the one to reach for when you need to hold very large inputs in a single call. On inputs, GPT-4.1 takes image, text and file, whereas Pareto 26.9 takes text and image only, so file inputs are a GPT-4.1 feature here. Both return text only. On parameters, GPT-4.1 supports structured outputs and response format alongside the usual sampling and tool controls, while Pareto 26.9 supports response format, tools and tool choice but not structured outputs. Neither is listed as the only one with tools, and the qualitative notes do not mark either as uniquely a reasoning model, so treat tool calling as available on both and reasoning as not a deciding factor.

For day to day work, pick based on the shape of the request. If you are feeding long documents, whole repositories, large transcripts or mixed file and image material into one prompt, GPT-4.1 is the natural fit, and its structured outputs support helps when you need the reply to conform to a schema. If your prompts are moderate in size and mostly text with some images, Pareto 26.9 covers that ground, and it is the cheaper option on output, which matters when your workload generates a lot of tokens relative to what it reads. GPT-4.1 is the cheaper option on input, so read heavy, write light jobs lean its way on cost, while write heavy jobs lean toward Pareto 26.9. Since the live price table on this page carries the actual numbers, check it against your own input and output ratio before deciding.

Calling either model works the same way. api14 exposes an OpenAI compatible API, so you point your existing client at the api14 base URL, send your key, and set the model field. To use GPT-4.1, set the model id to openai/gpt-4.1. To use Pareto 26.9, set it to unbiased/pareto-26.9. Everything else in the request body stays as it is, with the one caveat that structured outputs are only available on the GPT-4.1 side, so if you rely on that parameter keep it on requests routed to openai/gpt-4.1.

There are still cases where Pareto 26.9 is the better pick even though GPT-4.1 has the larger window and the wider input support. If your inputs fit inside 262,144 tokens, you do not need file inputs or structured outputs, and your workload produces a large volume of output tokens, Pareto 26.9 is the more economical choice on output pricing and is a straightforward swap through the same endpoint.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "openai/gpt-4.1" to "unbiased/pareto-26.9" and prompts, streaming and tools keep working.

OpenAI: GPT-4.1 details & playground →Pareto 26.9 details & playground →

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": "unbiased/pareto-26.9",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

OpenAI: GPT-4.1 vs Pareto 26.9

Specifications

Key differences

In depth

Switch with one string

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