LLM Providers

Qwen2.5

A versatile language model series with varying sizes for diverse applications.

Status
UnmaintainedNo commits in 591 days.
Last checked
Aging · Sep 2, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Qwen2.5 is a family of large language models designed to support various tasks, from text generation and translation to code writing and more, offering different scales to meet specific needs.

Qwen2.5 stands out as a highly customizable, open-source language model series, offering developers flexibility in choosing the right size and configuration for their specific needs.

When it fits — and when it doesn’t

A good fit for

  • Developers looking for a flexible, open-source language model to integrate into their projects.

  • Research teams needing customizable models for specific NLP tasks.

Look elsewhere if

  • Teams requiring real-time performance in production environments without the ability to host and manage the model themselves.

  • Projects with strict budget constraints that cannot afford the computational resources required to run larger versions of Qwen2.5.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited documentation and examples

    Official documentation lacks detailed tutorials and use cases beyond basic setup

  2. 02

    Performance issues with large-scale deployments

    Increased latency observed when handling more than 10 concurrent requests in production environments

What it does well

  • Available in multiple sizes to suit different computational requirements.

  • Supports a wide range of natural language processing tasks.

  • Open-source with Apache-2.0 license.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Qwen2.5

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →