Zephyr 7B

Other chat Free

API ID: huggingfaceh4/zephyr-7b-beta

Input Price
Free
/1M tokens
Output Price
Free
/1M tokens

About Zephyr 7B

Zephyr 7B is HuggingFace's instruction-tuned model based on Mistral 7B, optimized for helpful, aligned responses. The model demonstrates strong instruction following and conversational ability while maintaining Mistral's efficiency. Zephyr excels at general conversation, task completion, and helpful assistance. It's particularly popular in the open-source community for its balance of capability and alignment. The model's open weights enable self-hosting and customization. For developers seeking well-aligned small AI, Zephyr 7B provides excellent instruction following in a practical package.

๐Ÿ†
Price Ranking
#1 lowest price among 950 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
4k
Max Output
โ€”
Release Date
2023-08-02
Capabilities
chat
Input Modalities
text
Output Modalities
text

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
๐ŸŽ‰

This model is completely free!

No token costs - use it without worrying about API bills.

Estimate Token Usage

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
Zephyr 7B Current Free Free 4k chat
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

Similar Models from Other Providers

Cross-brand alternatives with similar capabilities

Google Gemma 3n 4B
Input: Free
Output: Free
Context: 33k
Meta Llama 3.2 3B Instruct
Input: Free
Output: Free
Context: 80k
Alibaba Qwen Qwen2.5-VL 7B Instruct
Input: Free
Output: Free
Context: 33k
ByteDance Seedream 4.5
Input: Free
Output: Free
Context: 4k

๐Ÿš€ Quick Start

Get started with Zephyr 7B API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="huggingfaceh4/zephyr-7b-beta",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)