AI Tools Review

Qwen: Qwen3 30B A3B Instruct 2507

By Qwen

Released: 2025-07-29

API
LLM
RAG
Qwen
Paid
New

Qwen Qwen3 30B A3B Instruct 2507, developed by Alibaba Qwen, features 3.3B parameters, MoE architecture and 262k-token context window. Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and agentic tool use. Post-trained on instruction data, it demonstrates competitive performance across reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench) benchmarks. It outperforms its non-instruct variant on subjective and open-ended tasks while retaining strong factual and coding performance. Priced affordably at $0.08/1M tokens.

Visit Qwen: Qwen3 30B A3B Instruct 2507

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 Instruct

160k tokens context

Qwen: Qwen3 30B A3B Instruct 2507Current

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$0.08 / $0.33 (per 1M)
context Window262k tokens

AI Evaluation

4.8
Expert Rating
Text4.9/5
Coding3.5/5

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

Pros

  • Budget-friendly at $0.08/1M tokens
  • 262k token context window
  • Lightweight and efficient
  • Strong code generation and debugging

Cons

  • Limited depth on complex topics
  • May lack creative flair