# Union Alpha Is Unbiased Pareto

> Source: <https://openrouter.ai/unbiased/pareto>
> Published: 2026-09-17 23:16:19+00:00

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 model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

Not enough data for apps using this model yet.

Frequently asked questions

What is Pareto?

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.

How much does Pareto cost?

Pareto costs $2.50/M input tokens and $7.50/M output tokens, with separate rates for Cache Read at $0.25/M tokens.

What is the context length of Pareto?

Pareto has a 262,144 token context window. It supports up to 131,072 completion tokens.

Does Pareto support tool calling and structured outputs?

Yes. Pareto accepts tools and tool_choice for function calling. It supports response_format for JSON output, without JSON-schema enforcement.

What inputs and outputs does Pareto support?

Pareto accepts text and images as input and returns text.
