
GPT 4o (Aug '24)
August 2024 release of OpenAI's GPT-4o with important optimizations over previous versions. Features multimodal capabilities handling text, images and other input types. Significant improvements in reasoning, code generation, and creative writing while maintaining GPT series leadership in general AI tasks. Suitable for various complex AI application scenarios from professional writing to technical development.
Intelligence(Relatively Weak)
Speed(Relatively Slow)
Input Supported Modalities
Yes
Is Reasoning Model
128,000
Context Window
-
Maximum Output Tokens
-
Knowledge Cutoff
Pricing
- /M tokens
Input
- /M tokens
Output
¥31.5 /M tokens
Blended Price
Quick Simple Comparison
GPT-5‑pro
gpt‑oss‑120b
GPT-4.1 mini
¥0.4
Basic Parameters
GPT-4o (Aug '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
2024-08-06
Response Speed
96.6,533 tokens/s
Benchmark Scores
Below is the performance of GPT-4o (Aug '24) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
40.54
Large Language Model Intelligence Level
Coding Index
-
Indicator of AI model performance on coding tasks
Math Index
45.57
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
52.1
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
2.9
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
31.7
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
92.6
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
79.5
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
11.7
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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Context Length
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Input tokens/million
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Output tokens/million
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Context Length
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Context Length
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Context Length
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Context Length
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Input tokens/million
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Output tokens/million
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Context Length
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Input tokens/million
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Output tokens/million
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Context Length
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Input tokens/million
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Output tokens/million
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Context Length