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GPT 4 Turbo

The latest GPT-4 model offers better performance, updated knowledge, and more powerful features. Compared with the earlier version, it has a faster response speed and is more affordable in price.
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
No
Is Reasoning Model
128,000
Context Window
4,096
Maximum Output Tokens
2023-12-31
Knowledge Cutoff

Pricing

¥72 /M tokens
Input
¥216 /M tokens
Output
¥108 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

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

Basic Parameters

GPT-4 TurboTechnical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
2023-12-31
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
100
Release Date
2023-11-06
Response Speed
44.45,245 tokens/s

Benchmark Scores

Below is the performance of GPT-4 Turbo in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
38.76
Large Language Model Intelligence Level
Coding Index
30.52
Indicator of AI model performance on coding tasks
Math Index
44.33
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
69.4
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
48
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
29.1
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
31.9
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
91.8
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
73.7
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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