Last refreshed 2026-04-19. Next refresh: weekly.
Why use Zephyr 7B Alpha on Replicate API?
Replicate API offers Zephyr 7B Alpha with pay-as-you-go pricing at $0.05/1M input tokens. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Compare Zephyr 7B Alpha 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(
"zephyr-7b-alpha",
input={"prompt": "Hello"}zephyr-7b-alphaRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# zephyr-7b-alpha format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"zephyr-7b-alpha",
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 Zephyr 7B Alpha Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Baseten API | — | — |
| Replicate API | $0.05 | $0.25 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.05 |
| Output tokens | $0.25 |
Capabilities
No model capability flags are currently sourced.
About Zephyr 7B Alpha
The Zephyr 7B Alpha is a 7-billion parameter language model fine-tuned from the Mistral-7B-v0.1 framework. It serves as an AI assistant, primarily optimizing its performance using Direct Preference Optimization. Although it excels in English text generation and conversational tasks, its training with a mix of public and synthetic datasets—like UltraChat and UltraFeedback—brings a higher risk of generating problematic content due to lesser alignment with human safety standards compared to models like ChatGPT. The model's architecture is GPT-like, offering several quantized versions such as GPTQ and GGUF, which trade-off model size for performance, but may affect accuracy. Its broader capabilities extend to multiple languages to a limited degree, and its performance varies by version and quantization method used.
FAQ
What does Zephyr 7B Alpha cost on Replicate API?
On Replicate API, Zephyr 7B Alpha costs $0.05 per 1M input tokens and $0.25 per 1M output tokens.
How does Replicate API compare to other Zephyr 7B Alpha providers?
Zephyr 7B Alpha is available from 2 providers. The cheapest input pricing is $0.05/1M tokens from Replicate API.
Who created Zephyr 7B Alpha?
Zephyr 7B Alpha was created by Hugging Face H4 as part of the Zephyr model family.
Is Zephyr 7B Alpha open source?
Zephyr 7B Alpha's open source status is unknown in the seed data.