Last refreshed 2026-06-29. Next refresh: weekly.
Why use WizardCoder Python 34B on Replicate API?
Replicate API offers WizardCoder Python 34B 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 WizardCoder Python 34B across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install replicateexport REPLICATE_API_TOKEN=...import replicate
output = replicate.run(
"lucataco/wizardcoder-python-34b-v1.0",
input={"prompt": "Hello"}lucataco/wizardcoder-python-34b-v1.0Request example
import replicate
# reads REPLICATE_API_TOKEN from env
# lucataco/wizardcoder-python-34b-v1.0 format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"lucataco/wizardcoder-python-34b-v1.0",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Use provider model ID "lucataco/wizardcoder-python-34b-v1.0", not the LLMReference slug "wizardcoder-python-34b".
- 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 WizardCoder Python 34B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.80 | $0.80 |
| Replicate API | $0.20 | $1.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $1.00 |
Capabilities
About WizardCoder Python 34B
WizardCoder Python 34B is a large language model (LLM) tailored for code generation and comprehension, primarily focusing on Python. Harnessing a Transformer-based structure with 34 billion parameters, it was refined using the Evol-Instruct method to enhance its instruction-following skills. This model excels in generating accurate and context-aware code, offering functionalities like code generation, completion, summarization, and translation across languages. It has achieved notable performance in benchmarks such as HumanEval, even outperforming certain versions of GPT-4 in specific tests.