Pareto 26.9Unbiased
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.
Context 262K
NewSpecs
Model ID
unbiased/pareto-26.10Context window1M tokens
Inputs → outputsText, Image → Text
Open weightsNo
How to use Pareto 26.10 in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID unbiased/pareto-26.10:
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "unbiased/pareto-26.10",
"messages": [{"role": "user", "content": "Explain this in simple words..."}]
}'
Prefer no code? Many tools in our AI tools directory run on models like this one.
More models from Unbiased
Questions about Pareto 26.10
What is Pareto 26.10?
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 big is the context window of Pareto 26.10?
Pareto 26.10 can read up to 1,048,576 tokens in one request, roughly 786,432 words.
Is Pareto 26.10 open source?
Pareto 26.10 does not have downloadable weights. You use it through Unbiased or an API provider.
What can Pareto 26.10 take as input?
Pareto 26.10 accepts text, image and produces text.
Latest AI models
MiniMax: MiniMax M3.1 Flash (free)Minimax
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Context 1M
NewDeepSeek: DeepSeek V4.1 Flash 1017Deepseek
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...
Context 1M
NewOpen weightsElorian: GlimpseElorian
Glimpse is a multimodal visual reasoning model from Elorian, built for visual understanding and complex visual reasoning in the physical world. It reasons directly over images and video rather than...
Context 262K
NewXingChen: Xing4.0 29B A4B (free)Xingchen Agi
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with 4B active per token...
Context 262K
NewOpen weightsReflection: Beam 1.0 501B A23BReflection
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...
Context 1M
NewOpen weightsInception: Mercury 3Inception
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency compounds, such...
Context 1M
NewSpecs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 15 Oct 2026.