openai/o1
200,000 context · $15.00/M input tokens · $60.00/M output tokens
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Pay-per-use
No upfront costs, pay only for what you use
Use the following code examples to integrate with our API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="openai/o1",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)openai o1
| Specification | Value |
|---|---|
| Provider | Openai |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 200000 tokens |
| Max Output | 100000 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $16.5 |
| Output | $66.0 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: openai/o1
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="openai/o1",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "openai/o1",
"messages": [{"role": "user", "content": "Hello!"}]
}'
openai/o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason...
Input
$15 /M
Output
$60 /M
Context
200K
Max Output
100K
Vision
Supported
Tool Use
Supported
Access o1 through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Pricing on WaveSpeedAI: $15.00 per million input tokens and $60.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
o1 supports up to 200K tokens of context with up to 100K tokens of output per request.
Yes. WaveSpeedAI exposes o1 through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate o1 before paying per token.