OpenAI o3-mini Performance Evaluation
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Questions and Answers

OpenAI o3-mini is a new model that offers a trade-off between speed and accuracy.

True (A)

Which of the following models is considered the highest-performing in the 'Software Engineering' domain according to the text?

  • o1-mini
  • GPT-4o
  • o3-mini (correct)
  • o1

    • OpenAI o3-mini achieves performance comparable to OpenAI ______ when using medium reasoning effort.

    o1

    Match the following reasoning effort levels with the corresponding AI model performance comparisons:

    <p>Low = Comparable to o1-mini Medium = Comparable to o1 High = Outperforms o1 and o1-mini</p> Signup and view all the answers

    What is the average response time of OpenAI o3-mini in seconds, according to the A/B testing mentioned in the text?

    <p>7.7</p> Signup and view all the answers

    In what domain does OpenAI o3-mini with high reasoning effort outperform its predecessor, achieving better results than OpenAI o1?

    <p>FrontierMath (B)</p> Signup and view all the answers

    OpenAI o3-mini demonstrates superior results in additional math and factuality evaluations only with high reasoning effort.

    <p>False (B)</p> Signup and view all the answers

    What technique is used to train OpenAI o3-mini to reason about safety specifications before answering user prompts?

    <p>Deliberative alignment</p> Signup and view all the answers

    OpenAI o3-mini has an average of ______ ms faster time to first token than OpenAI o1-mini.

    <p>2500</p> Signup and view all the answers

    Which of the following models is considered superior in terms of answering difficult real-world questions with fewer major errors, according to external expert testers?

    <p>o3-mini (B)</p> Signup and view all the answers

    Which of these features are supported by OpenAI o3-mini, but not OpenAI o1-mini?

    <p>Developer messages (A), Structured outputs (C), Function calling (D)</p> Signup and view all the answers

    OpenAI o3-mini can access and integrate information from the web through its search capabilities.

    <p>True (A)</p> Signup and view all the answers

    What are the three reasoning effort options available in OpenAI o3-mini?

    <p>Low, medium, and high</p> Signup and view all the answers

    OpenAI o3-mini is particularly strong in ______, ______, and ______ domains.

    <p>science, math, coding</p> Signup and view all the answers

    Match the OpenAI model with its key advantage:

    <p>OpenAI o1 = Broader general knowledge reasoning OpenAI o3-mini = Supports vision capabilities OpenAI o1-mini = Low cost and reduced latency</p> Signup and view all the answers

    Free plan users in ChatGPT can now access OpenAI o3-mini for reasoning tasks.

    <p>True (A)</p> Signup and view all the answers

    What is the new rate limit for ChatGPT Plus and Team users using OpenAI o3-mini?

    <p>150 messages per day</p> Signup and view all the answers

    For which API usage tiers is OpenAI o3-mini currently being rolled out?

    <p>Tier 3-5 (A)</p> Signup and view all the answers

    Flashcards

    OpenAI o3-mini

    The latest cost-effective reasoning model by OpenAI, excelling in STEM tasks.

    Cost-efficiency

    The ability to achieve maximum output with minimal cost, crucial for resource management.

    Function calling

    A feature allowing models to execute specific functions during interaction, enhancing capability.

    Structured Outputs

    A feature allowing the model to return formatted data or responses in a structured manner.

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    Reasoning effort options

    Three levels of reasoning effort—low, medium, and high—that optimize performance based on task complexity.

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    Streaming support

    The ability to continuously update the output as processing is ongoing, providing real-time feedback.

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    Rate limits increase

    The new allowance of 150 messages per day with o3-mini for Plus and Team users, tripling from o1-mini.

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    Search integration

    The feature allowing o3-mini to access up-to-date information and provide linked web sources in responses.

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    o3-mini-high

    A higher-intelligence version of o3-mini that takes longer to respond.

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    Reasoning Effort Levels

    Different levels of reasoning effort: low, medium, high for task performance.

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    Elo Scores in Coding

    Scores indicating performance in competitive programming tasks like Codeforces.

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    Human Preference Evaluation

    External testers prefer o3-mini for more accurate and clearer answers.

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    Deliberative Alignment

    Technique ensuring o3-mini reasons about safety before responding to prompts.

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    Latency

    The average time faster o3-mini takes to respond compared to o1-mini (2500ms).

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    FrontierMath Performance

    o3-mini performs significantly better than its predecessor on specific math problems.

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    Cost-Effective Intelligence

    OpenAI's goal of reducing AI costs while maintaining high quality.

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    AI Adoption Commitment

    OpenAI's dedication to leading in responsible AI development amidst growing adoption.

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    Study Notes

    OpenAI o3-mini Overview

    • OpenAI o3-mini is a new, cost-effective reasoning model.
    • Available in ChatGPT and the API.
    • It excels in STEM fields (science, math, and coding).
    • Maintains low cost and reduced latency of OpenAI o1-mini.
    • Supports key developer features: function calling, structured outputs, and developer messages.
    • Supports streaming.
    • Offers three reasoning effort levels (low, medium, high) for optimal use cases.
    • Does not support vision.
    • Rolling out to select developers in API tiers 3-5.
    • Accessible to ChatGPT Plus, Team, and Pro users now; Enterprise access in February.
    • Replaces OpenAI o1-mini in the model picker, with higher rate limits and lower latency.

    Performance Benchmarking

    • Mathematics: o3-mini matches or surpasses o1-mini/o1 performance across different reasoning levels.
    • PhD-level science: o3-mini outperforms o1-mini at lower levels and equals/surpasses o1’s performance with high reasoning.
    • Research-level mathematics (FrontierMath): Outperforms o1-mini / o1, especially with high reasoning (solving >32% problems on first attempt).
    • Competitive programming (Codeforces): Achieves progressively higher Elo scores with higher reasoning effort, exceeding o1-mini and equaling o1 with medium effort.
    • Software engineering (SWEbench-verified): o3-mini is the highest-performing released model.
    • LiveBench coding: o3-mini surpasses o1-high with medium reasoning effort and further outperforms with high effort.
    • Human preference evaluation: Testers prefer o3-mini's responses (56%) and find it more accurate and clearer than o1-mini, with a 39% reduction in major errors.
    • General math and factuality: o3-mini shows strong performance overall.
    • Response time (A/B testing): o3-mini is 24% faster than o1-mini (7.7 seconds avg vs. 10.16 seconds).
    • Latency (time to first token): o3-mini is 2500 ms faster than o1-mini.

    Safety and Accessibility

    • Safety: Trained using deliberative alignment (reasoning about safety specifications).
    • Signficantly surpasses GPT-4o on safety and jailbreak tests.
    • Safety evaluated with the same approach as o1.
    • Accessibility: Available to free ChatGPT users (choosing "reason" in message composer).

    Cost Effectiveness and Features

    • Cost reduction: 95% per-token price reduction from GPT-4 launch.
    • Rate limits: Tripled rate limit for Plus and Team users (150 messages daily).
    • Search integration: Works with search to find up-to-date answers (early prototype).

    Model Relation and Evolution

    • o1: Broader general knowledge model; o3-mini is specialized for technical domains.
    • o1-mini: o3-mini replaces this model, offering better performance and efficiency.
    • o1-high: o3-mini outperforms this model at even medium reasoning.
    • GPT-4o: o3-mini surpasses this model on safety and jailbreak tests.

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    Description

    Test your knowledge about the performance characteristics and comparisons of the OpenAI o3-mini model. This quiz covers aspects such as reasoning effort, response times, and safety specifications in software engineering. Challenge yourself to see how well you understand the nuances of this new AI model.

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