WizardCoder 33B on Replicate API

WizardCoder · WizardLM Team

ServerlessOpen Source

Last refreshed 2026-06-29. Next refresh: weekly.

Why use WizardCoder 33B on Replicate API?

Replicate API offers WizardCoder 33B 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.

Input / 1M
$0.20
Output / 1M
$1.00
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install replicate
Auth
export REPLICATE_API_TOKEN=...
Call
import replicate
output = replicate.run(
    "wizardcoder-33b",
    input={"prompt": "Hello"}
Model ID
wizardcoder-33b

Request example

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))

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.

Pricing

TypePrice (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.

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Model Specs

Released2024-01-29
Parameters33B
Context16k
ArchitectureDecoder Only

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