o3-pro是OpenAI 2025年6月发布的超强推理模型,算力与“思考时间”大幅提升,数学、编程、科学任务可靠性领先,支持调用搜索、Python、文件分析等工具,价格较前代骤降87%,面向Pro/Team用户开放。
Intelligence(Relatively Strong)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
200,000
Context Window
100,000
Maximum Output Tokens
2024-05-31
Knowledge Cutoff

Pricing

¥144 /M tokens
Input
¥576 /M tokens
Output
¥252 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

GPT-5‑pro
GPT-4.1 nano
¥0.1
GPT-4.1
¥2

Basic Parameters

o3-proTechnical Parameters
Parameter Count
Not Announced
Context Length
200.00k tokens
Training Data Cutoff
2024-05-31
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
25
Release Date
2025-06-10
Response Speed
0 tokens/s

Benchmark Scores

Below is the performance of o3-pro in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
71
Large Language Model Intelligence Level
Coding Index
-
Indicator of AI model performance on coding tasks
Math Index
-
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
-
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
84.5
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
-
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
-
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
-
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
-
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
-
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
-
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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