AI Tools Review

Qwen: Qwen3 Coder 30B A3B Instruct

By Qwen

Released: 2025-07-31

API
LLM
RAG
Qwen
Paid
New

Qwen Qwen3 Coder 30B A3B Instruct, developed by Alibaba Qwen, features 30.5B parameters, MoE architecture and 160k-token context window. Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-scale understanding, and agentic tool use. Built on the Qwen3 architecture, it supports a native context length of 256K tokens (extendable to 1M with Yarn) and performs strongly in tasks involving function calls, browser use, and structured code completion. This model is optimised for instruction-following without “thinking mode”, and integrates well with OpenAI-compatible tool-use formats. Priced affordably at $0.07/1M tokens.

Visit Qwen: Qwen3 Coder 30B A3B 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

Qwen: Qwen3 VL 32B Instruct

262k tokens context

Qwen: Qwen3 VL 8B Thinking

256k tokens context

Qwen: Qwen3 VL 8B Instruct

131k tokens context

Qwen: Qwen3 VL 30B A3B Thinking

131k tokens context

Qwen: Qwen3 VL 30B A3B Instruct

262k tokens context

Qwen: Qwen3 VL 235B A22B Thinking

262k tokens context

Qwen: Qwen3 VL 235B A22B Instruct

262k tokens context

Qwen: Qwen3 Max

256k tokens context

Qwen: Qwen3 Coder Plus

128k tokens context

Qwen: Qwen3 Coder Flash

128k tokens context

Qwen: Qwen3 Next 80B A3B Thinking

128k tokens context

Qwen: Qwen3 Next 80B A3B Instruct (free)

262k tokens context

Qwen: Qwen3 Next 80B A3B Instruct

262k tokens context

Qwen: Qwen Plus 0728

1,000k tokens context

Qwen: Qwen Plus 0728 (thinking)

1,000k tokens context

Qwen: Qwen3 30B A3B Thinking 2507

33k tokens context

Qwen: Qwen3 Coder 30B A3B InstructCurrent

160k tokens context

Qwen: Qwen3 30B A3B Instruct 2507

262k tokens context

Qwen: Qwen3 235B A22B Thinking 2507

262k tokens context

Qwen: Qwen3 Coder 480B A35B (free)

262k tokens context

Qwen: Qwen3 Coder 480B A35B

262k tokens context

Qwen: Qwen3 Coder 480B A35B (exacto)

262k tokens context

Qwen: Qwen3 235B A22B Instruct 2507

262k tokens context

Qwen: Qwen3 4B (free)

41k tokens context

Qwen: Qwen3 30B A3B

41k tokens context

Qwen: Qwen3 8B

32k tokens context

Qwen: Qwen3 14B

41k tokens context

Qwen: Qwen3 32B

41k tokens context

Qwen: Qwen3 235B A22B

41k tokens context

Qwen: Qwen2.5 Coder 7B Instruct

33k tokens context

Qwen: Qwen2.5 VL 32B Instruct

16k tokens context

Qwen: QwQ 32B

33k tokens context

Qwen: Qwen VL Plus

8k tokens context

Qwen: Qwen VL Max

131k tokens context

Qwen: Qwen-Turbo

1,000k tokens context

Qwen: Qwen2.5 VL 72B Instruct

33k tokens context

Qwen: Qwen-Plus

131k tokens context

Qwen: Qwen-Max

33k tokens context

Qwen2.5 Coder 32B Instruct

33k tokens context

Qwen: Qwen2.5 7B Instruct

33k tokens context

Qwen2.5 72B Instruct

33k tokens context

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

33k tokens context

Qwen: Qwen2.5-VL 7B Instruct

33k tokens context

Specifications

pricing$0.07 / $0.27 (per 1M)
context Window160k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
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 $0.07/1M tokens
  • 160k token context window
  • Strong code generation and debugging
  • Agent-ready with tool use

Cons

  • May lack creative flair
  • API integration required