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Pareto 26.9
unbiased/pareto-26.9Try Pareto 26.9 now
Runs on your balance at the prices above. New accounts start with free usage.
One API. Every model.
Session cost $0.00
Settings
Advanced parameters
Pareto 26.9 at a glance
- Input price is 456% higher than the median of 434 Text models.
- Context window of 262,144 tokens, enough for long documents and multi-turn conversations.
- Supports tool (function) calling for agents and integrations.
- Accepts images as input (vision).
- A typical request (1,000 input / 500 output tokens) costs about $0.02.
About Pareto 26.9
Pareto 26.9 is a text generation model from Unbiased, listed under the provider's text category. Unbiased describes Pareto as a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. The model was released by the provider on 2026-10-13.
On the input side, Pareto 26.9 accepts text and images, so you can send prompts that mix written instructions with visual content. Output is text only. The context window is 262144 tokens, and the maximum output is 131072 tokens, which gives you a large working budget for long documents, extended conversations, or multi-step agent traces without splitting them across requests.
Those capabilities point to a few practical uses. Research and coding tasks fit the provider's stated focus, especially where you need to read long source files or papers and produce detailed written output. Because images are accepted as input, you can also build workflows that reason over screenshots, diagrams, or scanned pages alongside text instructions. The combination of a large context window and tool support makes the model a candidate for agentic setups where the model calls functions and keeps a long history in view.
Through api14 you call the model with the id "unbiased/pareto-26.9" using the OpenAI-compatible API, so existing OpenAI SDKs and clients work with a change of base URL and model id. The request parameters supported are max_tokens, response_format, temperature, tool_choice, tools, and top_p. Use max_tokens to cap generation length, response_format when you need structured output such as JSON, temperature and top_p to control sampling, and tools with tool_choice to define and select callable functions for agentic flows.
Keep the output limit in mind: 131072 tokens is generous but still a ceiling, and text is the only output modality, so tasks that require generated images or audio need a different model. If your workload is purely text with a smaller context requirement, a lighter model may be simpler and faster to operate; Pareto 26.9 makes most sense when you actually need the long context, image input, or tool calling it supports.
How to call the Pareto 26.9 API
- Create an API key in your dashboard.
- Install the official openai SDK for your language.
- Set baseURL to https://api14.com/api/v1 and model to "unbiased/pareto-26.9".
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);
Supported parameters
max_tokensresponse_formattemperaturetool_choicetoolstop_pSpecifications
- Context length
- 262,144
- Max output
- 131,072
- Input
- text, image
- Output
- text
Requests on api14 · last 7 days
Pareto 26.9: frequently asked questions
- How much does the Pareto 26.9 API cost?
- Pareto 26.9 costs Input $8.75 / 1M tokens. It is charged from your USD balance only for successful requests; failed requests are free.
- What is the context window of Pareto 26.9?
- Pareto 26.9 reads up to 262,144 tokens per request: prompt, history and documents together. It writes up to 131,072 output tokens per response.
- What can Pareto 26.9 do?
- Pareto 26.9 accepts text, image and returns text. It supports tool calling.
- How do I call Pareto 26.9 from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "unbiased/pareto-26.9". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to Pareto 26.9?
- Comparable Text models at a similar price: OpenAI: o3, OpenAI: GPT-4.1, Perplexity: Sonar Reasoning Pro. Each runs through the same API key, so switching is one string.
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