
O1 Pro
The o1-pro is an advanced language model developed by OpenAI, specifically optimized for complex reasoning and professional tasks, providing enhanced functionality while maintaining efficiency.
Intelligence(Medium)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
200,000
Context Window
100,000
Maximum Output Tokens
2023-09-30
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
¥1890 /M tokens
Blended Price
Quick Simple Comparison
GPT-5‑pro
gpt‑oss‑120b
GPT-4.1 mini
¥0.4
Basic Parameters
o1-proTechnical Parameters
Parameter Count
Not Announced
Context Length
200.00k tokens
Training Data Cutoff
2023-09-30
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
Release Date
2025-03-19
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of o1-pro in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
56.1
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
79
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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openai

¥1.8
Input tokens/million
¥14.4
Output tokens/million
400k
Context Length
GPT 5 Standard
openai

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Input tokens/million
¥504
Output tokens/million
400k
Context Length
GPT 5 Nano
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Input tokens/million
¥2.88
Output tokens/million
400k
Context Length
GPT 5
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Input tokens/million
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Output tokens/million
400k
Context Length
GLM 4.5
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Input tokens/million
¥1.01
Output tokens/million
131k
Context Length
Gemini 2.0 Flash Lite (Preview)
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Input tokens/million
¥2.16
Output tokens/million
1M
Context Length
Gemini 1.0 Pro
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Input tokens/million
¥10.8
Output tokens/million
33k
Context Length
Qwen2.5 Coder Instruct 32B
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¥0.65
Input tokens/million
¥0.65
Output tokens/million
131k
Context Length