Deep Thinking Reasoner Models | Generated by AI

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Overview

Deep thinking reasoner models are advanced AI systems designed to perform complex reasoning tasks, such as solving mathematical problems, coding, and logical puzzles, often mimicking human-like step-by-step thinking. These models, like Grok, ChatGPT o1, and DeepSeek R1, are part of a growing trend in AI, focusing on transparency and multi-step logic.

Market Options

Based on recent analyses, the market includes several notable models similar to those mentioned:

These models are part of the 2025 landscape, with each offering unique strengths in reasoning tasks.

Reasoning API Availability

All the listed models provide a reasoning API, enabling developers to integrate their reasoning capabilities into applications. This includes APIs for Grok (xAI API), ChatGPT o1 (OpenAI API), DeepSeek R1 (DeepSeek API Docs), Gemini models (Google AI Gemini API), Claude (Anthropic API), and QwQ-32B (Qwen Team Blog). This means developers can access step-by-step reasoning or prompt models to include reasoning in responses, depending on the API’s features.

An unexpected detail is that while most models allow seeing step-by-step reasoning, Google’s Gemini API may require specific prompting to include reasoning in responses, as recent updates removed a separate reasoning output field, according to user discussions on Reddit.


Survey Note: Comprehensive Analysis of Deep Thinking Reasoner Models and Their APIs

This section provides a detailed examination of deep thinking reasoner models, focusing on those similar to Grok, ChatGPT o1, and DeepSeek R1, and evaluates their reasoning API availability as of March 14, 2025. The analysis aims to offer a professional overview, suitable for developers, researchers, and AI enthusiasts, ensuring a strict superset of the information in the overview section.

Introduction to Deep Thinking Reasoner Models

Deep thinking reasoner models represent a specialized category of AI, designed to handle complex reasoning tasks beyond simple text generation. These models, often referred to as reasoning models, break down problems into manageable steps, evaluate evidence, and provide step-by-step explanations, aligning closely with human cognitive processes. The term “deep think” likely refers to models capable of advanced reasoning, such as mathematical problem-solving, coding, and logical reasoning, as exemplified by Grok, ChatGPT o1, and DeepSeek R1.

Recent advancements, particularly in 2025, have seen these models gain prominence, driven by the need for AI systems that can tackle intricate problems with high interpretability. Articles from analyticsvidhya.com (Top 6 AI Reasoning Models to Explore in 2025) and e-discoveryteam.com (Breaking New Ground: Evaluating the Top AI Reasoning Models of 2025) highlight their transformative impact, especially in legal and scientific contexts, suggesting they may achieve Turing-level intelligence, comparable to average human reasoning.

Market Options: Identifying Similar Models

To identify models similar to Grok, ChatGPT o1, and DeepSeek R1, we analyzed recent reports and benchmarks from 2025. The following table lists the key models, their developers, and primary reasoning capabilities:

Model Developer Primary Reasoning Capabilities
Grok xAI General-purpose AI with reasoning for diverse tasks
ChatGPT o1 OpenAI PhD-level reasoning in math, science, and coding
DeepSeek R1 DeepSeek Open-source, matches ChatGPT o1 in math and coding
Gemini Flash Thinking Experimental Google Optimized for wide-range reasoning, including legal
Claude 3.7 Sonnet Anthropic Hybrid reasoning, strong in coding and math
QwQ-32B Alibaba Compact, excels in math and coding, open-source

These models were identified through various sources, including techcrunch.com (‘Reasoning’ AI models have become a trend, for better or worse), which notes the trend following OpenAI’s o1 release, and bigdatawire.com (What Are Reasoning Models and Why You Should Care), emphasizing DeepSeek R-1’s rise. Additionally, yourstory.com (Top AI tools in 2025: What they do and how to use them) lists OpenAI o3-mini, reinforcing the inclusion of OpenAI’s models.

An interesting observation is Microsoft’s potential entry with models like Phi-4, as noted by computerworld.com (Microsoft introduces Phi-4, an AI model for advanced reasoning tasks), but these are still in testing and not as established as the listed models, so they are not included in the primary list.

Detailed Analysis of Each Model

Reasoning API Availability: A Deep Dive

The user’s query specifically asks which of these models provide a reasoning API. All listed models offer APIs that support reasoning tasks, but the extent to which they expose step-by-step reasoning varies. The following table summarizes API availability and reasoning visibility:

Model API Availability Reasoning Visibility
Grok Yes, via xAI API Likely, supports structured outputs
ChatGPT o1 Yes, via OpenAI API Yes, includes reasoning steps in responses
DeepSeek R1 Yes, via DeepSeek API Yes, supports chain-of-thought reasoning
Gemini models Yes, via Google API May require prompting, reasoning output removed recently
Claude Yes, via Anthropic API Yes, extended thinking mode visible
QwQ-32B Yes, via DashScope API Yes, reasoning included in responses

All models provide APIs, but an important detail is Google’s Gemini, where recent changes (as per the Reddit discussion) mean users might need to explicitly prompt for reasoning, unlike others where it’s part of the response or API feature. This could affect developer experience, especially for applications requiring transparent reasoning processes.

Conclusion and Implications

This analysis confirms that the market for deep thinking reasoner models is robust in 2025, with all listed models providing reasoning APIs. Developers can choose based on specific needs, such as cost (DeepSeek R1 and QwQ-32B are open-source), performance (Claude 3.7 Sonnet for coding), or integration ease (OpenAI and Google with established ecosystems). The unexpected detail about Gemini’s API change highlights the dynamic nature of AI development, urging users to stay updated on API features.


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