In the rapidly evolving landscape of artificial intelligence, OpenThinker has emerged as one of the most promising open-source models designed specifically for advanced reasoning. With models like OpenThinker-7B and OpenThinker-32B, this initiative is setting new standards in mathematical problem-solving, coding, and scientific analysis.
If you're looking for an AI model that delivers exceptional performance in reasoning tasks while being fully open-source, you’ve come to the right place. In this post, we’ll break down everything you need to know about OpenThinker, from its unique features to its impressive benchmark performances.
Download and Install OpenThinker
While you can download AI models to run locally, doing so requires technical know-how and can be time-consuming. Here's the easiest way to download almost any AI model in minutes.
1. Install OpenThinker on Windows
Ollama is a tool that lets you download almost any open-source AI model with just one simple command.
If you’re using macOS or Linux, you'll find the respective options at the end of this guide.
Unzip the file and run the installer in your Terminal (it usually includes a .sh script).
That's it! Open your Terminal and type ollama --version to verify the installation.
Linux
Open a terminal window.
Run the following command:
curl -fsSL https://ollama.com/install.sh | sh
Verify the installation by typing:
ollama --version
You should see the current version of Ollama.
What is OpenThinker?
At its core, OpenThinker is a series of open-source AI models developed by the Open Thoughts team—a collaboration between Bespoke Labs and the DataComp community. These models are designed to handle complex reasoning tasks and are fine-tuned from Qwen2.5 models using the OpenThoughts-114k dataset.
Why is OpenThinker Important?
Unlike many proprietary models that require extensive resources, OpenThinker achieves state-of-the-art performance with significantly fewer training examples. For instance, OpenThinker-32B delivers superior results using only 114,000 training examples, compared to DeepSeek's 800,000.
Key Features of OpenThinker AI Models
Feature
OpenThinker-7B
OpenThinker-32B
Base Model
Qwen2.5-7B-Instruct
Qwen2.5-32B-Instruct
Fine-Tuned On
OpenThoughts-114k dataset
OpenThoughts-114k dataset
Parameters
7.62 billion
32.8 billion
Training Hardware
4x 8xH100 nodes, 20 hours
8xH100 P5 nodes, 90 hours on 4 nodes
Context Length
16k tokens
16k tokens
Performance
Outperforms Bespoke-Stratos-7B
Best open-data reasoning model to date
License
Apache 2.0
Apache 2.0
Performance Benchmarks: How OpenThinker Stacks Up
The real measure of an AI model lies in its performance. Let’s examine how OpenThinker-7B and OpenThinker-32B fare against key benchmarks.
OpenThinker-7B Performance
Benchmark
Score
AIME24
31.3
MATH500
83.0
GPQA-Diamond
42.4
LCBv2 Easy
75.3
LCBv2 Medium
28.6
LCBv2 Hard
6.5
LCBv2 All
39.9
While it outperforms Bespoke-Stratos-7B, it still lags behind proprietary models like GPT-4 on some metrics. However, its open-source nature makes it a valuable alternative for researchers and developers who need a reliable reasoning model.
OpenThinker-32B Performance
Benchmark
Score
AIME24 I/II
66.0
AIME25 I
53.3
MATH500
90.6
GPQA Diamond
61.6
LCBv2
68.9
Notably, OpenThinker-32B’s 90.6 score on MATH500 and 61.6 on GPQA-Diamond make it the best open-data reasoning model currently available.
Open-Source Advantages: Why OpenThinker Stands Out
One of OpenThinker’s biggest strengths is its open-source nature, which provides several key advantages:
Accessibility: Available to anyone without licensing fees or restrictions.
Transparency: All datasets, training procedures, and model weights are publicly accessible.
Community-Driven Innovation: Developers and researchers can contribute to and improve the model.
All resources, including model weights and code, can be found on platforms like Hugging Face and GitHub:
Model Weights: Open Thoughts Hugging Face
Datasets: OpenThoughts-114k
Code: Open Thoughts GitHub
Evaluation Tool: Evalchemy GitHub
Unlike proprietary models that remain closed-source, OpenThinker fosters an open and collaborative AI ecosystem.
