Alibaba
Available in Shortly AI
Qwen3-30B-A3B
Released April 28, 2025
ReasoningTool Use
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support
- Context window
- 41K tokens
- Maximum output
- 16.4K tokens
- Input pricing
- $0.12/M
- Output pricing
- $0.50/M
Independent benchmark
LiveBench historical snapshot
39.0overall
Historical benchmark data from LiveBench, release 2026-01-08. Scores are pinned and are not fetched on page load.
36.7
48.9
1.7
65.3
44.9
54.5
21.1
| Category | Score |
|---|---|
| Reasoning | 36.678 |
| Coding | 48.883 |
| Agentic Coding | 1.667 |
| Mathematics | 65.347 |
| Data Analysis | 44.923 |
| Language | 54.465 |
| Instruction Following | 21.108 |
Benchmarks measure selected evaluation tasks and do not guarantee performance for every prompt or workflow.
FAQ
Similar AI models
Qwen 3.7 FlashAlibabaThe Qwen3.7 native vision-language Flash model series delivers a comprehensive upgrade over 3.6-Flash in multimodal understanding and agent execution. This model particularly excels in enhanced multimodal foundations with stronger universal object recognition, further improved real-world perception and spatial intelligence, significantly upgraded multimodal agent capabilities for Search Agent and CI Agent scenarios with more stable end-to-end task execution, as well as optimized multimodal coding for a smoother vibe coding experience.GPT 5.6 LunaOpenAIGPT-5.6 Luna is a fast, affordable GPT-5.6 model that brings strong capability at the lowest cost in the series.Hy3TencentTencent Hy3 is an open-source Mixture-of-Experts (MoE) large language model developed by Tencent's Hunyuan team. It has 295B total parameters, 21B active parameters, a 3.8B-parameter MTP layer, and a 256K context window. Hy3 is designed for agentic workflows, coding, reasoning, long-context understanding, tool-use scenarios, document analysis, and structured generation.
The model improves on Hy3 Preview with stronger tool-call reliability, better output-format stability, improved long-context retention, and lower hallucination rates in Tencent's internal evaluations.
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