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O3
O3
OpenAI's most powerful inference model. O3 is a powerful model that excels in various fields. It sets new standards for mathematics, science, coding, and visual reasoning tasks. It is also proficient in technical writing and following instructions. Use it to think about multi-step problem analysis involving text, code, and images.
Intelligence(Relatively Strong)
Speed(Relatively Fast)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
100,000
Maximum Output Tokens
2024-05-31
Knowledge Cutoff
Pricing
￥72 /M tokens
Input
￥288 /M tokens
Output
￥126 /M tokens
Blended Price
Quick Simple Comparison
GPT-4.1
￥2
GPT-4.1 mini
￥0.4
GPT-4.1 nano
￥0.1
Basic Parameters
GPT-4.1 Technical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
2024-05-31
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
50
Release Date
2025-04-16
Response Speed
177.6,615 tokens/s
Benchmark Scores
Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
6683
Large Language Model Intelligence Level
Coding Index
4715
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
85.3
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
82.7
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
20
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
53.3
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
41
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
99.1
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
99.2
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
90.3
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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