Pareto✓ Catalog verified
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.
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.
Access: available through the official Unbiased API. Context window: 262K.
Specifications
| API identifier | unbiased/pareto |
| Provider | Unbiased |
| Model type | Multimodal LLM |
| Context window | 262K catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | Sep 17, 2026 |
| Moderated | No |
| Architecture modality | text+image->text |
Pricing
Live pricing components for unbiased/pareto as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.0000025 | $2.50 / 1M | Per input token |
| Completion tokens | $0.0000075 | $7.50 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$2.75Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Pareto 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",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| Arcee AI: Trinity Large Thinking | Arcee Ai | 262K | $0.25 | View → |
| ByteDance Seed: Seed 1.6 | Bytedance Seed | 262K | $0.25 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Pareto cost?
$2.50 per 1M input tokens and $7.50 per 1M output tokens on the official Unbiased API.
What is the context window of Pareto?
Pareto supports up to 262K tokens of context.
Does Pareto support tool / function calling?
Yes, Pareto supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access Pareto?
Use the official Unbiased API with the model id `unbiased/pareto`. See the Quick start section above for code examples.