OpenThinker

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.

Deepseek AI OpenThinker 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. openthinker

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.

download openthinker

2. Pull an AI Model from Ollama’s Library

    1. Open your terminal or command prompt.
    2. Type one of the following commands:
      ollama run openthinker:7b
      ollama run openthinker:32b

install openthinker

3. Run a Model Locally

After downloading a model, starting it is as simple as executing the same command:
ollama run openthinker:7b

use openthinker

And just like that, you'll have one of the top AI models running locally on your computer.

Other Options to Install OpenThinker

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: All resources, including model weights and code, can be found on platforms like Hugging Face and GitHub: Unlike proprietary models that remain closed-source, OpenThinker fosters an open and collaborative AI ecosystem.

Recent Developments: OpenThinker’s Growing Popularity

OpenThinker is gaining recognition in the AI community, with several notable updates: