Replicate API exposes Replit Code through model ID replit-code. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Replicate API SDK or REST API to call
replit-code— see the documentation for request format.
Code Examples
pip install replicateREPLICATE_API_TOKENreplit-codeReplicate 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
# replit-code format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"replit-code",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Pricing on Replicate API
Capabilities
No model capability flags are currently sourced.
About Replit Code
Replit Code is a series of large language models (LLMs) focused on code completion and generation, such as Replit Code v1.3B and v1.5 3B. These models are trained on extensive datasets featuring various programming languages, including Python, JavaScript, and Java 56. They utilize advancements like Flash Attention and AliBi positional embeddings to enhance training and inference efficiency 56. Capabilities encompass code completion, generation from natural language prompts, and support for multiple languages 5.