Qrwkv 72B

Other chat Free

API ID: featherless/qwerky-72b

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

About Qrwkv 72B

Qrwkv-72B is a linear-attention RWKV variant of the Qwen 2.5 72B model, optimized to significantly reduce computational cost at scale. Leveraging linear attention, it achieves substantial inference speedups (>1000x) while retaining competitive accuracy on common benchmarks like ARC, HellaSwag, Lambada, and MMLU. It inherits knowledge and language support from Qwen 2.5, supporting approximately 30 languages, making it suitable for efficient inference in large-context applications.

๐Ÿ†
Price Ranking
#6 lowest price among 1240 Chat models โ€” Top 20% cheapest!

Model Specifications

Context Length
33k
Max Output
โ€”
Release Date
2025-03-20
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
Qrwkv 72B Current Free Free 33k 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
Alibaba Qwen Qwen2.5-VL 7B Instruct
Input: Free
Output: Free
Context: 33k
ByteDance Seedream 4.5
Input: Free
Output: Free
Context: 4k
Black Forest Labs FLUX.2 Max
Input: Free
Output: Free
Context: 47k

๐Ÿš€ Quick Start

Get started with Qrwkv 72B 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="featherless/qwerky-72b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)