pareto-26-10
Pareto 26.10 is a multimodal composite model from Unbiased, built for research, coding and agentic workflows and aimed at strong performance across general-purpose tasks.
Pricing: Input 192 credits / 1M tokens (≈ $0.96), Output 768 credits / 1M tokens (≈ $3.84).
Prices updated
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Pareto 26.10 API on ModelFold
Pareto 26.10 is a multimodal composite model from Unbiased, built for research, coding and agentic workflows and aimed at strong performance across general-purpose tasks. Try Pareto 26.10 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Pareto 26.10 API
Pareto 26.10 at a glance
Pareto 26.10 is a chat model from Unbiased. It accepts text and images as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Pareto 26.10 with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Pareto 26.10
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images
Besides text, Pareto 26.10 accepts images as input, so a single request can combine instructions with visual or other media.
Function calling
Pareto 26.10 supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
How to Use Pareto 26.10 on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Pareto 26.10 responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "pareto-26-10" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Pareto 26.10
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Screenshot and image understanding
Read screenshots, charts, diagrams and photos alongside text — for UI review, visual QA or turning images into structured data.
Frequently Asked Questions
What is Pareto 26.10?⌄
Pareto 26.10 is a multimodal composite model from Unbiased, built for research, coding and agentic workflows and aimed at strong performance across general-purpose tasks.
Which inputs does Pareto 26.10 support?⌄
Pareto 26.10 accepts text and images and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Pareto 26.10?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Pareto 26.10 support function calling?⌄
Yes. Pareto 26.10 supports tools / function calling through the standard tools parameter of the chat completions API.
How is Pareto 26.10 billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Pareto 26.10 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "pareto-26-10", using your ModelFold API key as the Bearer token.
| Input | 192 credits 1M tokens≈ $0.96 |
| Output | 768 credits 1M tokens≈ $3.84 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"pareto-26-10","messages":[{"role":"user","content":"Hello"}]}'