Discover AllenAI's Olmo 3 7B Think Model

Olmo 3 7B Think excels at multi-step problem solving and logical inference.

Input: text Output: text Context: 65,536 tokens Release: 2025-11-21

Olmo 3 7B Think, developed by AllenAI, is a research-oriented language model released on November 21, 2025. With a context length of 65,536 tokens, it is designed for advanced reasoning and instruction-driven tasks. This model excels in multi-step problem solving and logical inference, making it suitable for maintaining coherent conversational context. Supporting text-to-text input and output modalities, Olmo 3 7B Think is ideal for academic research and practical NLP workflows. Its transparent and open experimentation capabilities allow users to explore various parameters, enhancing its versatility in diverse applications.

Use Cases

Here are a few ways teams apply AllenAI: Olmo 3 7B Think in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance academic research workflows

Facilitate complex problem-solving tasks

Develop conversational AI applications

Conduct logical inference studies

Key Features

A quick look at the capabilities that make this model useful in real projects.

Supports advanced reasoning tasks

Handles multi-step problem solving

Maintains coherent conversational context

Open for research and experimentation

Text-to-text input and output

Specs

Overview

Vendor
allenai

Model ID
allenai/olmo-3-7b-think

Release
2025-11-21

Modalities & context

Input
text

Output
text

Context
65,536 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p

Defaults: temperature 0.6, top_p 0.95

Benchmark tests: AllenAI: Olmo 3 7B Think

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

Artificial intelligence (AI) is poised to revolutionize work, leisure, and creativity by automating routine tasks, personalizing experiences, and augmenting human ingenuity. In the workplace, AI can handle repetitive chores like data entry or customer service, freeing professionals to focus on strategic, innovative work. This shift boosts productivity and encourages the development of new skills, such as AI literacy and creative problem-solving. For leisure, AI-driven platforms curate tailored entertainment—adapting music, films, or games to individual preferences—and enable immersive experiences through virtual reality, offering endless, dynamic forms of relaxation. Creativity thrives as AI tools assist artists, writers, and designers by generating ideas, refining concepts, or simulating outcomes, acting as collaborative partners rather than replacements. By democratizing access to advanced tools and fostering innovation, AI empowers individuals to explore new creative frontiers. While challenges like ethical use and job displacement exist, the positive disruptions—enhanced efficiency, personalized engagement, and expanded creative possibilities—highlight AI’s potential to enrich human life in unprecedented ways.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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