Pareto 26.10 API

unbiased/pareto-26.10
Developed by Unbiased, Pareto 26.10 delivers frontier-level performance across a broad range of general-purpose tasks.
Context
1M tokens
Input
$1.10032 / 1M tokens
Output
$4.40128 / 1M tokens
Released
Oct 15, 2026

Overview

What Is Pareto 26.10 API?

Pareto 26.10 is a multimodal composite model developed by Unbiased. It is designed to support research, coding, and agentic workflows.

The model offers frontier-level performance for general-purpose tasks. It supports image and text inputs with text outputs.

What Pareto 26.10 Brings to the Table

Multimodal Processing

The model supports both image and text inputs to generate text outputs.

Agentic Capabilities

Built to support agentic workflows and complex research tasks.

Large Context Window

Supports a context window of 1M tokens for extensive data processing.

High Output Capacity

Capable of generating up to 131,072 tokens in a single output.

Tool Integration

Includes support for tools, streaming, and vision capabilities.

Use cases

Conducting complex research tasks.

Assisting with advanced coding projects.

Powering agentic workflows.

Analyzing images and text for general-purpose tasks.

How to use Pareto 26.10 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to unbiased/pareto-26.10.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "unbiased/pareto-26.10",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "unbiased/pareto-26.10",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"unbiased/pareto-26.10","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Pareto 26.10 API Pricing

TypePrice
Input
$1.10032 / 1M tokens
Output
$4.40128 / 1M tokens
Cached input
$0.041262 / 1M tokens

Billed per token: $1.10032 / 1M input tokens, $0.041262 / 1M cached input tokens and $4.40128 / 1M output tokens.

Use cases

Conducting complex research tasks.

Assisting with advanced coding projects.

Powering agentic workflows.

Analyzing images and text for general-purpose tasks.

Pareto 26.10 vs other models

ModelInputOutputContextBest for
Pareto 26.10
This page
$1.10032 / 1M tokens
$4.40128 / 1M tokens
1M tokens
Research, coding, and agentic workflows.
$1.10032 / 1M tokens
$4.40128 / 1M tokens
1M tokens
Long-context research, coding & agentic workflows
$3.4385 / 1M tokens
$10.3155 / 1M tokens
256K tokens
Research, coding & agentic workflows
$0.975 / 1M tokens
$4.875 / 1M tokens
1M tokens
Agentic coding + high-efficiency reasoning
$2.393196 / 1M tokens
$4.786392 / 1M tokens
1M tokens
Agentic workflows and structured output

Frequently asked questions

Pareto 26.10 costs $1.10032 / 1M tokens for input and $4.40128 / 1M tokens for output on AI/ML API. Cached input is billed at $0.041262 / 1M tokens.

It supports image and text inputs with text outputs.

The model supports a context window of 1M tokens.

The model can generate up to 131,072 tokens.

Pareto 26.10 was developed by Unbiased.

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