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O1 Mini
O1-mini is a cost-effective language model developed by OpenAI, designed specifically for advanced reasoning tasks while minimizing the use of computing resources.
Intelligence(Medium)
Speed(Fast)
Input Supported Modalities
No
Is Reasoning Model
128,000
Context Window
65,536
Maximum Output Tokens
2023-09-01
Knowledge Cutoff
Pricing
￥21.6 /M tokens
Input
￥86.4 /M tokens
Output
￥13.86 /M tokens
Blended Price
Quick Simple Comparison
GPT-5‑pro
gpt‑oss‑120b
GPT-4.1 mini
￥0.4
Basic Parameters
o1-miniTechnical Parameters
Parameter Count
Not Announced
Context Length
128.00k tokens
Training Data Cutoff
2023-09-01
Open Source Category
Proprietary
Multimodal Support
Text Only
Throughput
115
Release Date
2024-09-12
Response Speed
221.9,922 tokens/s
Benchmark Scores
Below is the performance of o1-mini in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
53.82
Large Language Model Intelligence Level
Coding Index
44.93
Indicator of AI model performance on coding tasks
Math Index
77.37
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
74.2
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
60.3
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
4.9
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
57.6
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
32.3
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
97.2
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
94.4
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
60.3
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