O3 Mini (high)

O3 Mini (high)

A smaller version of O3, which is expected to perform better than previous generations of models in providing enhanced multimodal capabilities, improving inference capabilities, and more efficiently utilizing resources, while still maintaining strong performance on core tasks.

A smaller version of O3, which is expected to perform better than previous generations of models in providing enhanced multimodal capabilities, improving inference capabilities, and more efficiently utilizing resources, while still maintaining strong performance on core tasks.

Intelligence(Relatively Strong)

Speed(Relatively Fast)

Input Supported Modalities

No

Is Reasoning Model

200,000

Context Window

100,000

Maximum Output Tokens

2023-09-30

Knowledge Cutoff

Pricing

￥7.92 /M tokens

Input

￥31.68 /M tokens

Output

￥13.86 /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

200.00k tokens

Training Data Cutoff

2023-09-30

Open Source Category

Proprietary

Multimodal Support

Text Only

Throughput

115

Release Date

2025-01-31

Response Speed

171.36,957 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

Large Language Model Intelligence Level

6551

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

5661

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

-

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

80.2

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

77.3

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

12.3

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

73.4

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

39.8

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

-

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

98.5

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)

86

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

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