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unbiased · Frontier

Pareto 26.9

Added Sep 18, 2026

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Use in the app

Pareto 26.9 is an experimental multimodal composite model from Unbiased AI for research, coding, agentic workflows, and general-purpose tasks. It runs several frontier and open models for each request and returns a single selected or synthesized answer. This experimental release supports text and image input, tool calling, a 262K-token context window, and up to 131K output tokens. Its underlying model mix and behavior may change as it is evaluated. Request content may be retained for abuse prevention and security monitoring for up to 30 days, and is not used for model training without explicit

  • Tools
  • Vision
Input
Text, Images
Output
Text
Discovery tier
Frontier

Pricing

USD per 1M tokens
Input
$2.50
Output
$7.50
Cache read
$0.25

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
131.1K
Average output (7 days)
41 tokens
Longer than 3% of 473 models

Side by side

Pareto 26.9 compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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Pareto 26.9unbiasedThis modelGPT 5.4OpenAIRemove
ProviderunbiasedOpenAI
Discovery tierFrontierFrontier
AddedSep 18, 2026Mar 5, 2026
Limits
Context window262.14K1.05MBest
Max output131.07KBest128K
Average output41 tokens409 tokens
Pricing, USD per 1M tokens
Input$2.50$2.50
Output$7.50Best$15.00
Cache read$0.25$0.25
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—18.2
Capabilities
ReasoningNoYes
ToolsYesYes
VisionYesYes
Structured outputNoYes
PDF inputNoYes
Reasoning effort—none, low, medium, high, xhigh

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Pareto 26.9
  • GPT 5.4

Intelligence Index

  • Pareto 26.9—
  • GPT 5.418.2
3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Pareto 26.9: —
    • GPT 5.4: 58.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Pareto 26.9: —
    • GPT 5.4: 11.3%

  • GPQA Diamond

    Graduate-level science questions

    • Pareto 26.9: —
    • GPT 5.4: 74.8%

  • IFBench

    Following precise output instructions

    • Pareto 26.9: —
    • GPT 5.4: 48.4%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Pareto 26.9: —
    • GPT 5.4: 37.9%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Pareto 26.9: —
    • GPT 5.4: 36.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Pareto 26.9: —
    • GPT 5.4: 58.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "unbiased/pareto-26.9",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="unbiased/pareto-26.9",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

unbiased

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