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.
With CoreAI, you can start chatting with Pareto instantly — no separate subscription needed. CoreAI lets you chat with Pareto alongside 300+ other AI models from Unbiased and other providers like OpenAI, Anthropic, Google, Meta, and more.
Pareto holds the #190 spot for context size out of 428 chat models in the CoreAI catalog — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #191 cheapest of 199 standard-tier models by input cost. Released 2026-09-17, it is one of the 1 newest additions to the catalog. It accepts image input alongside text.
Every model in this table is available on CoreAI — open the web app and run the same prompt through Pareto and Kwaipilot: KAT-Coder-Pro V2.5 side by side to judge with your own eyes.
A typical question (about 1,000 tokens in, 500 out) runs $0.00625 on Pareto's raw per-token rates; a heavy session with a 50K-token document costs about $0.163. On CoreAI you don't juggle these numbers — one subscription covers Pareto and 300+ other models under a plan usage limit, with no API keys. See plans.
Pareto handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.
Pareto's underlying rates are $2.5 per 1M input tokens and $7.5 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.
Yes — Pareto accepts image input, so you can attach screenshots, photos or diagrams and ask questions about them.
No — Pareto answers directly without an extended reasoning phase, which usually means faster responses.
Open the CoreAI web app or the iOS/Android app, pick Pareto in the model selector, and chat — no API key, no per-token billing. One subscription covers Pareto and 300+ other models.
The closest alternatives on CoreAI are Kwaipilot: KAT-Coder-Pro V2.5, IBM: Granite 4.0 Micro — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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