Qwen: Qwen2.5 Coder 7B Instruct

By Qwen

Released: 2025-04-15

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API

LLM

General

Qwen

Paid

New

Qwen Qwen2 5 Coder 7B Instruct, developed by Alibaba Qwen, features 7B parameters and 128-token context window. Qwen2.5-Coder-7B-Instruct is a 7B parameter instruction-tuned language model optimised for code-related tasks such as code generation, reasoning, and bug fixing. Based on the Qwen2.5 architecture, it incorporates enhancements like RoPE, SwiGLU, RMSNorm, and GQA attention with support for up to 128K tokens using YaRN-based extrapolation. It is trained on a large corpus of source code, synthetic data, and text-code grounding, providing robust performance across programming languages and agentic coding workflows. This model is part of the Qwen2.5-Coder family and offers strong compatibility with tools like vLLM for efficient deployment. Released under the Apache 2.0 license. Priced affordably at $0.03/1M tokens.

Visit Qwen: Qwen2.5 Coder 7B Instruct

AI-Powered

Leverages advanced AI technology to deliver cutting-edge capabilities and results.

Fast & Efficient

Optimized performance ensures quick results without compromising on quality.

Purpose-Built

Specifically designed for llms tasks and workflows.

Qwen Model Timeline

23 Oct 2025Qwen: Qwen3 VL 32B Instruct

262k tokens context

14 Oct 2025Qwen: Qwen3 VL 8B Thinking

256k tokens context

14 Oct 2025Qwen: Qwen3 VL 8B Instruct

131k tokens context

6 Oct 2025Qwen: Qwen3 VL 30B A3B Thinking

131k tokens context

6 Oct 2025Qwen: Qwen3 VL 30B A3B Instruct

262k tokens context

23 Sept 2025Qwen: Qwen3 VL 235B A22B Thinking

262k tokens context

23 Sept 2025Qwen: Qwen3 VL 235B A22B Instruct

262k tokens context

23 Sept 2025Qwen: Qwen3 Max

256k tokens context

23 Sept 2025Qwen: Qwen3 Coder Plus

128k tokens context

17 Sept 2025Qwen: Qwen3 Coder Flash

128k tokens context

11 Sept 2025Qwen: Qwen3 Next 80B A3B Thinking

128k tokens context

11 Sept 2025Qwen: Qwen3 Next 80B A3B Instruct (free)

262k tokens context

11 Sept 2025Qwen: Qwen3 Next 80B A3B Instruct

262k tokens context

8 Sept 2025Qwen: Qwen Plus 0728

1,000k tokens context

8 Sept 2025Qwen: Qwen Plus 0728 (thinking)

1,000k tokens context

28 Aug 2025Qwen: Qwen3 30B A3B Thinking 2507

33k tokens context

31 Jul 2025Qwen: Qwen3 Coder 30B A3B Instruct

160k tokens context

29 Jul 2025Qwen: Qwen3 30B A3B Instruct 2507

262k tokens context

25 Jul 2025Qwen: Qwen3 235B A22B Thinking 2507

262k tokens context

23 Jul 2025Qwen: Qwen3 Coder 480B A35B (free)

262k tokens context

23 Jul 2025Qwen: Qwen3 Coder 480B A35B

262k tokens context

23 Jul 2025Qwen: Qwen3 Coder 480B A35B (exacto)

262k tokens context

21 Jul 2025Qwen: Qwen3 235B A22B Instruct 2507

262k tokens context

30 Apr 2025Qwen: Qwen3 4B (free)

41k tokens context

28 Apr 2025Qwen: Qwen3 30B A3B

41k tokens context

28 Apr 2025Qwen: Qwen3 8B

32k tokens context

28 Apr 2025Qwen: Qwen3 14B

41k tokens context

28 Apr 2025Qwen: Qwen3 32B

41k tokens context

28 Apr 2025Qwen: Qwen3 235B A22B

41k tokens context

15 Apr 2025

Qwen: Qwen2.5 Coder 7B InstructCurrent

33k tokens context

24 Mar 2025Qwen: Qwen2.5 VL 32B Instruct

16k tokens context

5 Mar 2025Qwen: QwQ 32B

33k tokens context

5 Feb 2025Qwen: Qwen VL Plus

8k tokens context

1 Feb 2025Qwen: Qwen VL Max

131k tokens context

1 Feb 2025Qwen: Qwen-Turbo

1,000k tokens context

1 Feb 2025Qwen: Qwen2.5 VL 72B Instruct

33k tokens context

1 Feb 2025Qwen: Qwen-Plus

131k tokens context

1 Feb 2025Qwen: Qwen-Max

33k tokens context

11 Nov 2024Qwen2.5 Coder 32B Instruct

33k tokens context

16 Oct 2024Qwen: Qwen2.5 7B Instruct

33k tokens context

19 Sept 2024Qwen2.5 72B Instruct

33k tokens context

28 Aug 2024Qwen: Qwen2.5-VL 7B Instruct (free)

33k tokens context

28 Aug 2024Qwen: Qwen2.5-VL 7B Instruct

33k tokens context

Specifications

pricing$0.03 / $0.09 (per 1M)

context Window33k tokens

AI Evaluation

4.2

Expert Rating

Text4.5/5

Coding4.8/5

Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.

Pros

Budget-friendly at $0.03/1M tokens
128 token context window
Lightweight and efficient
Strong code generation and debugging

Cons

Limited depth on complex topics
May lack creative flair

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