When was Qwen2.5 14B Instruct released?

Qwen2.5 14B Instruct was released on September 19, 2024 by Qwen. This is the official Qwen2.5 14B Instruct release date tracked on LLM Stats.

Is Qwen2.5 14B Instruct available via API?

Yes, Qwen2.5 14B Instruct is available via API. See the official documentation for authentication and endpoint details.

How big is Qwen2.5 14B Instruct?

Qwen2.5 14B Instruct has 14.7 billion parameters. It was trained on 18.0 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Qwen2.5 14B Instruct?

Qwen2.5 14B Instruct was created by Qwen.

What is the license for Qwen2.5 14B Instruct?

Qwen2.5 14B Instruct is released under the Apache 2.0 license. This is an open-source / open-weight license that permits self-hosting.

Where is the Qwen2.5 14B Instruct paper or technical report?

Qwen2.5 14B Instruct has a paper or technical report available at https://arxiv.org/abs/2407.10671. Use that source for architecture, training, release and evaluation details.

What models should I compare Qwen2.5 14B Instruct against?

Common Qwen2.5 14B Instruct comparisons include Qwen2.5 14B Instruct vs Ministral 3 (14B Base 2512), Qwen2.5 14B Instruct vs Claude 3.5 Sonnet, Qwen2.5 14B Instruct vs Gemini 1.5 Flash. Compare them side by side for benchmark scores, pricing, context window, latency and API availability.

Qwen2.5 14B Instruct API Pricing, Context Window & Benchmarks

Name: Qwen2.5 14B Instruct
Author: Qwen

Qwen2.5 14B Instruct: API Pricing, Context Window & Benchmarks

Qwen2.5 14B Instruct is a language model from Qwen, released in September 2024.

Qwen2.5-14B-Instruct is an instruction-tuned 14.7B parameter language model, part of the Qwen2.5 series. It features significant improvements in instruction following, long text generation (8K+ tokens), structured data understanding, and

Qwen2.5 14B Instruct benchmarks

Rankings

Quality Tracker

Qwen2.5 14B Instruct Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

llm-stats.com - Thu Jul 23 2026

Notice missing or incorrect data?

Qwen2.5 14B Instruct model size

Qwen2.5 14B Instruct has 14.7 billion parameters and was trained on 18 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens

14.7B

18Ttokens

1224× tokens-to-params ratio

Medium (10–30B)

14.7B

1B7B70B405B

Qwen2.5 14B Instruct API

Available from the model provider

Qwen2.5 14B Instruct has an official provider API. It is not currently routed through the LLM Stats gateway.

Read the official API documentation

Qwen2.5 14B Instruct latency

Qwen2.5 14B Instruct time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.

Qwen2.5 14B Instruct examples

Recent arena outputs from Qwen2.5 14B Instruct, picked from the highest-ranked matchups.

Qwen2.5 14B Instruct license

Qwen2.5 14B Instruct is released under the Apache 2.0 license, which permits commercial use, has 14.7B parameters.

License: Apache 2.0; Commercial use allowed
Parameters: 14.7B

Apache License 2.0 - allows commercial use

Qwen2.5 14B Instruct resources

Official sources for Qwen2.5 14B Instruct: api documentation, paper or system card, official launch post, source repository, model weights.

Qwen2.5 14B Instruct vs other models

The most-compared alternatives to Qwen2.5 14B Instruct are Ministral 3 (14B Base 2512), Claude 3.5 Sonnet, Gemini 1.5 Flash. Open any pair side-by-side for benchmarks, pricing, context, and latency.