When was Qwen2.5-Coder 7B Instruct released?

Qwen2.5-Coder 7B Instruct was released on September 19, 2024 by Qwen. This is the official Qwen2.5-Coder 7B Instruct release date tracked on LLM Stats.

How big is Qwen2.5-Coder 7B Instruct?

Qwen2.5-Coder 7B Instruct has 7 billion parameters. It was trained on 5.5 trillion tokens. It ships as an open-weight model, so you can download and run it on your own hardware.

Who created Qwen2.5-Coder 7B Instruct?

Qwen2.5-Coder 7B Instruct was created by Qwen.

What is the license for Qwen2.5-Coder 7B Instruct?

Qwen2.5-Coder 7B 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-Coder 7B Instruct paper or technical report?

Qwen2.5-Coder 7B Instruct has a paper or technical report available at https://arxiv.org/abs/2409.12186. Use that source for architecture, training, release and evaluation details.

What models should I compare Qwen2.5-Coder 7B Instruct against?

Common Qwen2.5-Coder 7B Instruct comparisons include Qwen2.5-Coder 7B Instruct vs Claude 3 Sonnet, Qwen2.5-Coder 7B Instruct vs Granite 3.3 8B Instruct, Qwen2.5-Coder 7B Instruct vs Phi 4 Mini. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.

Qwen2.5-Coder 7B Instruct Benchmarks, Pricing & Context Window

Name: Qwen2.5-Coder 7B Instruct
Author: Qwen

Qwen2.5-Coder 7B Instruct: Benchmarks, Pricing & Context Window

Qwen2.5-Coder 7B Instruct is a language model from Qwen, released in September 2024.

Qwen2.5-Coder is a specialized coding model trained on 5.5 trillion tokens of code data, supporting 92 programming languages with a 128K context window. It excels in code generation, completion, and repair while maintaining strong

Qwen2.5-Coder 7B Instruct benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for Qwen2.5-Coder 7B Instruct across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How Qwen2.5-Coder 7B Instruct holds up as conversations get longer.

Quality Tracker

Qwen2.5-Coder 7B Instruct Performance Across Datasets

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

llm-stats.com - Sat Oct 10 2026

Notice missing or incorrect data?

Qwen2.5-Coder 7B Instruct model size

Qwen2.5-Coder 7B Instruct has 7 billion parameters and was trained on 5.5 trillion tokens. See how it compares to other models in the same parameter range.

ParametersTraining tokens

5.5Ttokens

786× tokens-to-params ratio

Small (3–10B)

1B7B70B405B

Try now

huggle

Qwen2.5-Coder 7B Instructin Huggle

Make it with
Qwen2.5-Coder 7B Instruct.

Qwen2.5-Coder 7B Instruct latency

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

Qwen2.5-Coder 7B Instruct examples

Recent arena outputs from Qwen2.5-Coder 7B Instruct, picked from the highest-ranked matchups.

Qwen2.5-Coder 7B Instruct license

Qwen2.5-Coder 7B Instruct is released under the Apache 2.0 license, which permits commercial use, has 7.0B parameters.

License: Apache 2.0; Commercial use allowed
Parameters: 7.0B

Apache License 2.0 - allows commercial use

Qwen2.5-Coder 7B Instruct resources

Official sources for Qwen2.5-Coder 7B Instruct: provider documentation, paper or system card, official launch post, source repository, model weights.

Qwen2.5-Coder 7B Instruct vs other models

The most-compared alternatives to Qwen2.5-Coder 7B Instruct are Claude 3 Sonnet, Granite 3.3 8B Instruct, Phi 4 Mini. Open any pair side-by-side for benchmarks, pricing, context, and latency.