unbiasedmodel

Pareto 26.9

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.

text vision multimodal code agents long-context

Best for

Image UnderstandingVisual Q&AOCRMultimodal Tasks

Try in Playground Compare →Alternatives →Price history →

Context Window

262K tokens ≈ 583 pages of text

Input Cost

$2.50/1M

Output Cost

$7.50/1M

Latency p50

—

Pricing Details

Standard Pricing

Input (per 1M tokens)

$2.50

Output (per 1M tokens)

$7.50

Run it locally

Local run command

# Refer to provider docs:

Presumptive Specs:

Typical GPU

12–24 GB VRAM

System RAM

16+ GB

Disk

20+ GB free

Runtime

Docker / local runtime

Hallucination Score™ (est.)

Community reliability estimate · not official

—

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

Price history is a Pro feature

Track pricing trends and catch price drops early.

Upgrade to Pro — $19/mo →

Provider

unbiased

Usage & Examples

Learn how to use Pareto 26.9

✓Complex reasoning and analysis

✓Customer support automation

✓Content generation and editing

✓Code review and debugging

✓Research summarization

💡 Tip: Start with the sample prompts above to see how Pareto 26.9 works best.

Community Prompts

Proven prompts shared by the community for this model

Loading prompts…