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GPT 3.5 Turbo
OpenAI的经典模型，在GPT-3.5基础上针对对话和API使用进行优化。以其出色的性能价格比和快速响应而广受欢迎，成为了许多AI应用的首选基础模型。具备良好的指令遵循能力和创意生成能力，为AI应用的普及做出了重要贡献。适合各种通用AI应用，从客服到内容创作都能胜任。
Intelligence(Relatively Weak)
Speed(Slow)
Input Supported Modalities
No
Is Reasoning Model
4,096
Context Window
4,096
Maximum Output Tokens
2021-09-30
Knowledge Cutoff
Pricing
￥3.6 /M tokens
Input
￥10.8 /M tokens
Output
- /M tokens
Blended Price
Quick Simple Comparison
GPT-5‑pro
GPT-4.1 nano
￥0.1
GPT-4.1
￥2
Basic Parameters
GPT-3.5 TurboTechnical Parameters
Parameter Count
Not Announced
Context Length
4,096 tokens
Training Data Cutoff
2021-09-30
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
100
Release Date
2023-03-21
Response Speed
0 tokens/s
Benchmark Scores
Below is the performance of GPT-3.5 Turbo in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
22.71
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
46.2
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
30.8
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
68
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
44.1
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)
GPT 5 Mini
openai
￥1.8
Input tokens/million
￥14.4
Output tokens/million
400k
Context Length
GPT 5 Standard
openai
￥63
Input tokens/million
￥504
Output tokens/million
400k
Context Length
GPT 5 Nano
openai
￥0.36
Input tokens/million
￥2.88
Output tokens/million
400k
Context Length
GPT 5
openai
￥9
Input tokens/million
￥72
Output tokens/million
400k
Context Length
GLM 4.5
chatglm
￥0.43
Input tokens/million
￥1.01
Output tokens/million
131k
Context Length
Gemini 2.0 Flash Lite (Preview)
google
￥0.58
Input tokens/million
￥2.16
Output tokens/million
1M
Context Length
Gemini 1.0 Pro
google
￥3.6
Input tokens/million
￥10.8
Output tokens/million
33k
Context Length
Qwen2.5 Coder Instruct 32B
alibaba
￥0.65
Input tokens/million
￥0.65
Output tokens/million
131k
Context Length