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Get all the details on o1-mini, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as reasoning, streaming, available API code samples, and performance strengths.
Key Metrics
Input Limit
128K tokens
Output Limit
65.5K tokens
Input Cost
$1.10/1M
Output Cost
$4.40/1M
Sample API Code
from openai import OpenAI
client = OpenAI()
chat_completion = client.chat.completions.create(
messages=[
{
'role': 'user',
'content': 'Hello world!',
}
],
model='o1-mini',
)
print(chat_completion.choices[0].message.content)
Required Libraries
openai
openai
Benchmarks
Benchmark | Score | Source | Notes |
---|---|---|---|
1304 | lmarena.ai | - | |
1042 | lmarena.ai | - | |
63.6 | Vellum | - | |
60 | Vellum | - | |
90 | Vellum | - | |
52.2 | Vellum | - | |
32.9 | Vellum | - |
Notes
A small model alternative to o1. Faster and more affordable reasoning model than o1, but o3-mini is recommended for higher intelligence at the same latency and price. Fine-tuning, function calling, and structured outputs are not supported.
Capabilities
reasoning
streaming
Supported Data Types
Input Types
text
Output Types
text
Strengths & Weaknesses
Good at
Reasoning
Cost-effectiveness (compared to o1)
Speed (compared to o1)
Additional Information
Latest Update
Sep 12, 2024
Knowledge Cutoff
Oct 1, 2023