Unbiased models
Unbiased builds Pareto, a multimodal composite model for research, coding and agentic workflows. Zeplik carries it with vision, tool calling and a 262K-token window.
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All 2 Unbiased models
Pareto 26.10 PreviewGeneral purpose
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.
1.0M ctx38.4 cr/M outOctober 2026
ParetoFrontier
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.
262K ctx90.0 cr/M outSeptember 2026
Pricing at a glance
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| Pareto 26.10 Preview | 1.0M | 9.6 | 38.4 | October 2026 |
| Pareto | 262K | 30.0 | 90.0 | September 2026 |
Frequently asked questions
- Which Unbiased models can I use on Zeplik?
- Zeplik carries 2 Unbiased models: Pareto 26.10 Preview and Pareto. They all run in the same chat, so you do not need a separate Unbiased account or API key.
- How much do Unbiased models cost on Zeplik?
- Output tokens run from 38.4 to 90.0 credits per million depending on which Unbiased model you pick (raw provider rates $3.20 to $7.50 per million). 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which Unbiased model has the largest context window?
- Pareto 26.10 Preview, at 1.0M tokens (1,048,576). The context window covers the conversation plus any documents you attach.
- Do Unbiased models support images and tool calling?
- All 2 accept image input, and all of them support tool calling.
- Do I need a paid plan to use Unbiased models on Zeplik?
- Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.
- What is the newest Unbiased model on Zeplik?
- Pareto 26.10 Preview, released October 2026. 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.
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