Last refreshed 2026-05-19. Next refresh: weekly.
Why use Replit Code on Replicate API?
Replicate API offers Replit Code with competitive pricing. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Setup recipe
Python + curlpip install replicateexport REPLICATE_API_TOKEN=...import replicate
output = replicate.run(
"replit-code",
input={"prompt": "Hello"}replit-codeRequest example
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))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.
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.