Last refreshed 2026-05-19. Next refresh: weekly.
Why use o1-mini (09-12) on Replicate API?
Replicate API offers o1-mini (09-12) with pay-as-you-go pricing at $1.10/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Input / 1M
$1.10
Output / 1M
$4.40
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"o1-mini-2024-09-12",
input={"prompt": "Hello"}Model ID
o1-mini-2024-09-12Request example
import replicate
# reads REPLICATE_API_TOKEN from env
# o1-mini-2024-09-12 format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"o1-mini-2024-09-12",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
- The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.10 |
| Output tokens | $4.40 |
Capabilities
ReasoningCode Execution
About o1-mini (09-12)
o1-mini (09-12) is OpenAI's o1 model with an optional reasoning mode. It offers a 128K-token context window.
Get Started
Model Specs
Released2024-09-12
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-10