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GPT 4o (Nov '24)
GPT 4o (Nov '24)
GPT-4o (where 'o' stands for 'omni') is a versatile AI model that can accept text, audio, image, and video inputs and generate text, audio, and image outputs. Its performance in handling text and code is comparable to that of GPT-4 Turbo, but it has improvements in non-English languages, visual understanding, and audio understanding.
Intelligence(Medium)
Speed(Medium)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
16,384
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
￥18 /M tokens
Input
￥72 /M tokens
Output
￥31.5 /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
Open Source Category
Proprietary
Multimodal Support
Text, Image
Throughput
132
Release Date
2024-11-20
Response Speed
112.51,962 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
4146
Large Language Model Intelligence Level
Coding Index
3212
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
74.8
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
54.3
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
3.3
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
30.9
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
33.3
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
93
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
75.9
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
15
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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