Qwen: Qwen3 8B

By Qwen

Released: 2025-04-28

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API

LLM

General

Qwen

Paid

Qwen Qwen3 8B, developed by Alibaba Qwen, features 8.2B parameters and 32K-token context window. Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math, coding, and logical inference, and "non-thinking" mode for general conversation. The model is fine-tuned for instruction-following, agent integration, creative writing, and multilingual use across 100+ languages and dialects. It natively supports a 32K token context window and can extend to 131K tokens with YaRN scaling. Priced affordably at $0.05/1M tokens.

Visit Qwen: Qwen3 8B

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 2025

Qwen: Qwen3 8BCurrent

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 2025Qwen: Qwen2.5 Coder 7B Instruct

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$0.05 / $0.25 (per 1M)

context Window32k tokens

AI Evaluation

4.2

Expert Rating

Text4.5/5

Coding3.5/5

Fine-tuned for creative expression, storytelling, and character-driven dialogue. Produces engaging, imaginative content while maintaining narrative coherence.

Pros

Budget-friendly at $0.05/1M tokens
Lightweight and efficient
Strong code generation and debugging
Advanced logical reasoning

Cons

Limited depth on complex topics
Factual accuracy may vary

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