Atlas / Models / Unbiased / Pareto 26.10 Preview

Pareto 26.10 Preview✓ Catalog verified

unbiased/pareto-26.10-preview

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. This is a preview of the...

Input price
$0.80 /1M
Output price
$3.20 /1M
Context
1.0M
Modalities
textimage
Released
Oct 1, 2026
Tool calling
✓ Yes
Atlas signal
88/100
01

Overview

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks. This is a preview of the...

Access: available through the official Unbiased API. Context window: 1.0M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Oct 2, 2026
02

Specifications

API identifierunbiased/pareto-26.10-preview
ProviderUnbiased
Model typeMultimodal LLM
Context window1.0M catalog
Input modalitiestext · image
Output modalitiestext
ReleasedOct 1, 2026
ModeratedNo
Architecture modalitytext+image->text
Supported parameters
max_tokenstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for unbiased/pareto-26.10-preview as published in the catalog.

$0.80
Input /1M
$3.20
Output /1M
—
Per request
—
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$8e-7$0.80 / 1MPer input token
Completion tokens$0.0000032$3.20 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$1.04Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Pareto 26.10 Preview
MMLU Signal (Reasoning)
83signal
Coding Signal (HumanEval proxy)
89signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
95signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Pareto 26.10 Preview through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="unbiased/pareto-26.10-preview",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Pareto 26.10 Preview cost?

$0.80 per 1M input tokens and $3.20 per 1M output tokens on the official Unbiased API.

What is the context window of Pareto 26.10 Preview?

Pareto 26.10 Preview supports up to 1.0M tokens of context.

Does Pareto 26.10 Preview support tool / function calling?

Yes, Pareto 26.10 Preview supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Pareto 26.10 Preview?

Use the official Unbiased API with the model id `unbiased/pareto-26.10-preview`. See the Quick start section above for code examples.