OpenAI o3-pro: Benchmarks, Pricing, and API Pricing

OpenAI has long been a leader in the field of artificial intelligence, continually advancing the capabilities of machine learning models. Their latest offering, the o3-pro model, marks another significant milestone in this journey. Unveiled in early 2025, o3-pro stands out for its exceptional performance and adaptability, making it a game-changer in the AI landscape. This article explores the benchmarks, pricing, and API pricing of OpenAI's o3-pro, providing a detailed look at what makes this model a standout innovation.

What is OpenAI o3-pro?

The o3-pro model from OpenAI is a cutting-edge language model engineered to tackle an extensive array of tasks with impressive precision and speed. It builds upon the legacy of earlier models like GPT-4 and o1, integrating the latest advancements in natural language processing, machine learning, and deep learning. Its architecture is fine-tuned to deliver both rapid processing and high accuracy, catering to a wide range of applications, from simple text generation to intricate problem-solving.

I’ve been secretly testing o3-pro for a while now 👀

Extremely cheaper, faster, and way more precise than o1-pro (and coding with o3 vs o3-pro is night and day)

Got some cool tests coming, starting with (of course) a tougher version of the Hexagon Bauncing ball

o3-pro is the… https://t.co/BDUyA7TXms pic.twitter.com/fG5l7LlGp4

— Flavio Adamo (@flavioAd) June 10, 2025

A defining feature of o3-pro is its ability to produce and comprehend text that closely mirrors human communication, maintaining coherence and relevance even in complex scenarios. This is made possible through vast training datasets, advanced algorithms, and innovative training techniques. Beyond text, o3-pro supports multi-modal inputs, seamlessly handling data types like images alongside text, broadening its utility.

This model shines in tasks demanding deep contextual understanding, such as summarizing lengthy documents, translating languages, or answering nuanced questions. It also excels in creative endeavors, including writing narratives, coding, and even generating musical compositions. With such versatile capabilities, o3-pro is set to transform industries like education, healthcare, entertainment, and finance, offering powerful tools for both individuals and organizations.

OpenAI o3-pro Benchmarks

Benchmarks are essential for gauging an AI model's performance, and o3-pro has raised the bar across multiple metrics. OpenAI's internal evaluations reveal that o3-pro excels on prominent AI benchmarks, showcasing its superiority in areas like mathematics and scientific knowledge.

In the AIME 2024 benchmark, which tests mathematical proficiency, o3-pro outperforms Google's leading model, Gemini 2.5 Pro. This achievement underscores its exceptional ability to solve complex equations and apply logical reasoning, making it a valuable asset for technical and academic applications.

Similarly, on the GPQA Diamond benchmark—a rigorous assessment of PhD-level scientific understanding—o3-pro surpasses Anthropic's Claude 4 Opus. This demonstrates its deep and accurate grasp of advanced scientific concepts, positioning it as a top choice for research and professional use.

Beyond these specific tests, o3-pro showcases remarkable strengths in natural language understanding, text generation speed, and multi-modal task performance. Its ability to maintain accuracy while processing data quickly sets it apart from competitors. OpenAI has also rigorously tested o3-pro for reliability, subjecting it to stress tests and adversarial challenges to ensure it remains stable and secure under demanding conditions. These results affirm o3-pro as a powerful, dependable model ready for real-world deployment.

OpenAI o3-pro Pricing

OpenAI’s pricing for o3-pro is structured around its API usage, with no standalone subscription plans for individual or business access. Instead, costs are tied to token consumption, reflecting the model’s compute-intensive nature. Below is a detailed breakdown of the pricing structure.

o3-pro API Pricing

The o3-pro model is accessible only through the Responses API, with pricing based on the number of tokens processed. Tokens represent chunks of text, with approximately 1 million tokens equaling 750,000 words—roughly the length of a novel like War and Peace.

• Input Tokens: $20.00 per 1 million tokens
• Output Tokens: $80.00 per 1 million tokens

Output tokens are pricier due to the higher computational demand of generating responses. For comparison, the standard o3 model costs $2.00 per million input tokens and $8.00 per million output tokens, while o3-mini is even cheaper at $1.10 and $4.40, respectively. The elevated cost of o3-pro reflects its enhanced reasoning and compute requirements.

Additional costs may apply for tool-specific features, such as file search or image generation, which incur per-call fees. For example, using the file search tool or integrating image generation via the API will add to the total expense based on usage.

o3-pro Batch API Pricing

For high-volume users, OpenAI offers a Batch API option, which processes requests asynchronously for cost efficiency. The Batch API pricing for o3-pro mirrors the standard rates: $20.00 per million input tokens and $80.00 per million output tokens. This is ideal for applications requiring large-scale processing, such as data analysis or bulk content generation.

Enterprise and Custom Pricing

Enterprises with extensive API usage can negotiate custom pricing plans, which may include volume discounts and enhanced support. These plans are tailored to the project’s scale, ensuring cost-effectiveness for large-scale deployments. OpenAI also offers fine-tuning capabilities, allowing developers to customize o3-pro for specific tasks, though this incurs additional costs based on computational resources.

Discounts and Accessibility

To promote accessibility, OpenAI provides reduced rates for educational institutions and non-profits. Eligible organizations can apply for discounts, making o3-pro more affordable for academic research or social impact projects. Periodic promotions may also lower costs for new or high-volume users.

o3-pro Rate Limits

Rate limits are critical for ensuring fair and reliable API access, capping the number of requests or tokens processed within a given time period. OpenAI’s rate limits for o3-pro vary by usage tier, automatically scaling as users increase their API activity and spending.

Below is a breakdown of the tiers and their respective limits:

• Free Tier: Not supported for o3-pro.
• Tier 1: 500 requests per minute (RPM), 30,000 tokens per minute (TPM), 90,000 batch queue limit.
• Tier 2: 5,000 RPM, 450,000 TPM, 1,350,000 batch queue limit.
• Tier 3: 5,000 RPM, 800,000 TPM, 50,000,000 batch queue limit.
• Tier 4: 10,000 RPM, 2,000,000 TPM, 200,000,000 batch queue limit.
• Tier 5: 10,000 RPM, 30,000,000 TPM, 5,000,000,000 batch queue limit.

Higher tiers unlock greater capacity, enabling developers to handle larger workloads. The batch queue limit governs the number of tokens that can be queued for asynchronous processing, critical for Batch API users. These limits ensure equitable access while accommodating diverse use cases, from small-scale apps to enterprise-grade solutions.

o3-pro API Features and Limitations

The o3-pro model supports a range of API endpoints and features, though some are unavailable due to its compute-heavy design:

• Supported Endpoints: Chat Completions, Responses, Assistants, Batch, Fine-tuning, Embeddings, Image Generation, Image Edit, Speech Generation, Transcription, Translation, Moderation.
• Unsupported Endpoints: Realtime, Completions (legacy).
• Features:
• Function Calling: Supported, enabling integration with external tools.
• Structured Outputs: Supported, ensuring consistent response formats.
• Tools: File search, image generation, and MCP (Model Control Protocol) are supported via the Responses API. Web search, code interpreter, and computer use are not supported.
• Limitations:
• Streaming is not supported, reflecting the model’s slower, deliberate processing.
• Fine-tuning is available but not distillation or predicted outputs.
• Audio inputs are not supported; only text and image inputs are accepted.

Snapshots, such as o3-pro-2025-06-10, allow users to lock in a specific model version for consistent performance, ensuring stability for production environments.

Conclusion

OpenAI’s o3-pro is a powerhouse AI model, excelling in complex reasoning and delivering top-tier performance on benchmarks like AIME 2024 and GPQA Diamond. Its pricing—$20 per million input tokens and $80 per million output tokens—reflects its compute-intensive nature, with Batch API and enterprise options offering flexibility for high-volume users. Rate limits, scaling from Tier 1 to Tier 5, ensure fair access while supporting diverse workloads.

Available exclusively via the Responses API, o3-pro’s 200,000-token context window and support for tools like file search and image generation make it a versatile choice for developers. Despite its slower speed and higher costs compared to o3 and o3-mini, its unmatched reasoning capabilities position it as a leading solution for tackling the most challenging AI tasks. As OpenAI continues to innovate, o3-pro stands as a testament to the transformative potential of advanced AI, driving progress across industries and applications.