Last refreshed 2026-07-09. Next refresh: weekly.
Why use CodeLlama 13B Python on Replicate API?
Replicate API offers CodeLlama 13B Python with pay-as-you-go pricing at $0.10/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare CodeLlama 13B Python across 4 providers to find the best fit for your use caseSetup recipe
Python + curlpip install replicateexport REPLICATE_API_TOKEN=...import replicate
output = replicate.run(
"meta/codellama-13b-python",
input={"prompt": "Hello"}meta/codellama-13b-pythonRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# meta/codellama-13b-python format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"meta/codellama-13b-python",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Use provider model ID "meta/codellama-13b-python", not the LLMReference slug "codellama-13b-python".
- 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.
Compare CodeLlama 13B Python Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.30 | $0.30 |
| Fireworks AI | $0.20 | $0.20 |
| Microsoft Foundry | $0.81 | $0.94 |
| Replicate API | $0.10 | $0.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.50 |
Capabilities
About CodeLlama 13B Python
CodeLlama 13B Python is a specialized variant of the CodeLlama family, featuring 13 billion parameters and optimized for Python programming tasks. This model excels at code synthesis, completion, and infilling, while also supporting instruction following and chat-based interactions. Leveraging advanced transformer architecture and trained on a diverse dataset, it offers robust understanding of programming concepts and syntax. Designed for AI engineers and developers, it serves as a powerful tool for integrating AI into coding workflows, making it particularly valuable for Python-related applications .