OpenAI has launched the o3-mini reasoning model to users of its ChatGPT platform, offering 24% faster response rates than its predecessor, o1-mini, while maintaining accuracy in mathematics, coding, and science. The model is also significantly more cost-effective, operating at 93% lower cost per token than o1. For the first time, a version of OpenAI’s reasoning models is available to free-tier users.

OpenAI Releases o3-Mini Reasoning Model for Free – Key Points
- Launch Details: On January 31, 2025, OpenAI released the o3-mini reasoning model, a streamlined version of its forthcoming o3 model, to provide enhanced reasoning abilities to ChatGPT users. The model was initially announced in December 2024 as part of OpenAI’s “12 days of ship-mas.”
- Performance Enhancements: OpenAI states that o3-mini responds 24% faster than o1-mini while maintaining accuracy in mathematics, coding, and science. Unlike previous models, o3-mini can also show how it derived its answers, making it more transparent and interpretable. Internal evaluations show that testers preferred o3-mini’s responses over o1-mini’s 56% of the time, with a 39% reduction in major errors on complex real-world questions. Additionally, o3-mini performs exceptionally well on SQL evaluations and demonstrates notable efficiency in medium and high reasoning efforts.
- Expanded Accessibility: For the first time, free-tier ChatGPT users can access OpenAI’s reasoning models, albeit with rate limits. Free users can try o3-mini by selecting ‘Reason’ in the message composer or regenerating a response. Plus and Team users now have increased daily message limits, tripled to 150 per day. ChatGPT Pro users, paying $200 monthly, retain unlimited access to both o3-mini and its higher-intelligence variant, o3-mini-high. Some reports indicate inconsistencies in access, with European users facing restrictions as low as three messages per day.
- Reasoning and Customization: o3-mini introduces three reasoning effort modes—low, medium, and high—allowing users to optimize for speed or deeper reasoning when tackling complex challenges. In ChatGPT, o3-mini defaults to medium reasoning effort to balance speed and accuracy, while o3-mini-high provides more advanced reasoning at the cost of increased response time. Compared to o1, o3-mini delivers superior performance in reasoning tasks, particularly in scientific, mathematical, and coding-related applications.
- API and Microsoft Integration: Developers can access o3-mini through OpenAI’s API services, including Chat Completions API, Assistants API, and Batch API. Additionally, o3-mini is integrated into Microsoft Azure OpenAI Service, GitHub Copilot, and GitHub models. Unlike o1, o3-mini does not support vision-based reasoning, so developers requiring visual capabilities should continue using o1.
- Competitive Landscape: The release follows significant AI industry shifts, notably DeepSeek’s emergence as a strong competitor. DeepSeek’s R1 model recently gained attention by topping Apple’s free app store and influencing stock market fluctuations. Microsoft also made OpenAI’s o1 model free for all Copilot users, signaling increasing pressure in the AI space. User discussions highlight frustration over OpenAI’s non-sequential model naming, making it difficult to determine the latest and most advanced version.
- Paid Model Variants: OpenAI offers a higher-tier version, o3-mini-high, positioned as the best coding option in ChatGPT. This variant delivers more sophisticated reasoning capabilities but requires additional processing time.
- Web Search Capabilities: Unlike earlier models, o3-mini integrates web search functionality, allowing it to provide linked sources for certain queries, enhancing reliability and depth of information. This is an early prototype as OpenAI works to integrate search across its reasoning models.
- STEM Optimization: o3-mini reasoning model has been specifically optimized for STEM reasoning tasks. With medium reasoning effort, it matches o1’s performance in math, coding, and science, but with high reasoning effort, it surpasses o1. On the AIME 2024 competition math benchmark, o3-mini-high achieved an 83.6% accuracy rate, showcasing significant improvements in AI-driven problem-solving. It also demonstrates superior coding abilities and outperforms o1 in many STEM-related evaluations.
- Cost Efficiency: The model is significantly cheaper than its predecessor, with input costs of $1.10 per million tokens and output costs of $4.40 per million tokens, with a 50% discount for cached tokens. This substantial reduction in cost makes high-quality AI reasoning more accessible to developers and businesses.
- Safety Considerations: The International AI Safety Report highlights o3-mini’s superior performance in abstract reasoning tests, surpassing many human experts. OpenAI states that o3-mini was evaluated for safety using the same methods as o1 but significantly outperforms GPT-4o in challenging safety and jailbreak evaluations. These capabilities raise both opportunities and challenges concerning AI risks and responsible development.
- Strategic Expansion: OpenAI is preparing for further model launches, including o3 in the coming months and an even more advanced model, GPT-5, later in 2025. This rollout strategy reflects OpenAI’s push to strengthen its market leadership and continuously improve AI capabilities.
- Deep Research Agent Launch: On 2 February, 2025, OpenAI launched a new research “agent” called Deep Research, available to Pro users. Unlike the regular ChatGPT interface, this agent is designed to analyze and synthesize hundreds of online sources to generate comprehensive research reports. Powered by a version of the o3 model optimized for web searching, Deep Research delivers citations throughout its output, allowing for better transparency. Though it generates reports between five to thirty minutes, there are concerns about its reliability due to hallucinations or incorrect inferences.
- Environmental Considerations: Both o3-mini and the new Deep Research agent’s energy usage have raised concerns about their environmental impact. Researching through these AI systems requires substantial computational resources, and while OpenAI has not disclosed specific energy consumption data, the extended time frames required for generating comprehensive reports suggest significantly higher energy usage compared to simpler queries.
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Why This Matters: OpenAI’s release of the o3-mini reasoning model underscores the intensifying competition in the AI sector, particularly from international entities like DeepSeek. By enhancing reasoning capabilities and broadening access through free and subscription-based models, OpenAI aims to maintain its leadership in AI development. The emphasis on transparency, cost reduction, web-integrated search, and API availability further strengthens its market position while ensuring responsible AI progression.
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