Using DeepSeek R1 on Replicate API
Implementation guide · DeepSeek R1 · DeepSeek
ServerlessOpen Source
Replicate API exposes DeepSeek R1 through model ID deepseek-ai/deepseek-r1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-04-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Replicate API SDK or REST API to call
deepseek-ai/deepseek-r1— see the documentation for request format. - 3
Code Examples
Install
pip install replicateAPI key
REPLICATE_API_TOKENModel ID
deepseek-ai/deepseek-r1Replicate 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.
import replicate
# reads REPLICATE_API_TOKEN from env
# deepseek-ai/deepseek-r1 format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"deepseek-ai/deepseek-r1",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Pricing on Replicate API
| Type | Price (per 1M) |
|---|---|
| Input tokens | $3.75 |
| Output tokens | $10.00 |
Capabilities
ReasoningStructured OutputsCode Execution
About DeepSeek R1
DeepSeek R1: Reasoning-optimized model with extended thinking capabilities. 128K context.
Model Specs
Released2025-01-20
Parameters671B, 37B Active
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12