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GPT 4o (May '24)
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GPT 4o (May '24)

First release of OpenAI's GPT-4o in May 2024, introducing new multimodal architecture. Natively processes text, audio, images and other modalities, achieving true multimodal understanding and generation. Significant speed and efficiency improvements over GPT-4 while maintaining powerful reasoning capabilities. This version pioneered new era of multimodal AI, suitable for various applications requiring multimodal processing.
Intelligence(Relatively Weak)
Speed(Medium)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
Go Compare

Pricing

- /M tokens
Input
- /M tokens
Output
￥54 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

GPT-5‑pro
gpt‑oss‑120b
GPT-4.1 mini
￥0.4

Basic Parameters

GPT-4o (May '24)Technical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
Release Date
2024-05-13
Response Speed
104.293,785 tokens/s

Benchmark Scores

Below is the performance of GPT-4o (May '24) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
40.87
Large Language Model Intelligence Level
Coding Index
32.17
Indicator of AI model performance on coding tasks
Math Index
45.07
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
74
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
52.6
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
2.8
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
33.4
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
30.9
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
93.5
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
79.1
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
11
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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