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GPT 4
GPT 4
GPT-4 is a large multimodal model capable of handling image and text inputs and generating human-like text outputs. It demonstrates human-level performance in various professional and academic benchmark tests.
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
Yes
Is Reasoning Model
8,192
Context Window
32,768
Maximum Output Tokens
2022-12-31
Knowledge Cutoff
Pricing
￥216 /M tokens
Input
￥432 /M tokens
Output
￥270 /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
8,192 tokens
Training Data Cutoff
2022-12-31
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
104
Release Date
2023-03-14
Response Speed
25.5,375 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
3600
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
35.7
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
67
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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