Using WizardCoder 33B on Replicate API
Implementation guide · WizardCoder · WizardLM Team
Replicate API exposes WizardCoder 33B through model ID wizardcoder-33b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Replicate API SDK or REST API to call
wizardcoder-33b— see the documentation for request format. - 3
Code Examples
pip install replicateREPLICATE_API_TOKENwizardcoder-33bReplicate 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
# wizardcoder-33b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"wizardcoder-33b",
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 | $0.20 |
| Output tokens | $1.00 |
Capabilities
No model capability flags are currently sourced.
About WizardCoder 33B
WizardCoder-33B-V1.1 is a cutting-edge large language model designed specifically for code generation tasks. Developed by the WizardLM team, it's based on the DeepSeek-Coder-33B-base model and employs the Evol-Instruct method, improving both code generation and comprehension. This model excels in generating code across multiple languages, enhancing workflows through automated code completion, and facilitating prototyping. It surpasses notable benchmarks such as HumanEval and MBPP, outperforming models like ChatGPT 3.5 in certain areas.