Last refreshed 2026-07-09. Next refresh: weekly.
Why use CodeLlama 34B Python on Replicate API?
Replicate API offers CodeLlama 34B Python with pay-as-you-go pricing at $0.20/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare CodeLlama 34B 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(
"codellama-34b-python",
input={"prompt": "Hello"}codellama-34b-pythonRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# codellama-34b-python format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"codellama-34b-python",
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.
Compare CodeLlama 34B Python Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.80 | $0.80 |
| Fireworks AI | $0.90 | $0.90 |
| Microsoft Foundry | $1.54 | $1.77 |
| Replicate API | $0.20 | $1.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $1.00 |
Capabilities
About CodeLlama 34B Python
CodeLlama 34B Python is a specialized code generation model released by Meta on August 24, 2023. With 34 billion parameters, it excels in Python-specific tasks like code completion, infilling, and instruction following. This model offers AI engineers a powerful tool for enhancing coding workflows and productivity. Its architecture is optimized for understanding and generating complex code structures, making it particularly useful for software development tasks. The model is available in the Hugging Face Transformers format, facilitating easy integration into existing projects .