Alibaba/Qwen
Explore all 29 AI models from Alibaba/Qwen. Compare benchmarks, pricing, and capabilities across the full model lineup.
qwenlm.github.io29
Total Models
67.9
Avg Benchmark
27
Open Source
5
Modalities
All Models
29 models
Qwen3.5 397B
Alibaba/Qwen
Alibaba's open-weight hybrid MoE model with 512 experts and 17B active parameters. Natively multimodal with 201 language support. Top scores on GPQA and SWE-bench.
Input
$0.15/M
Output
$1.00/M
Context
256K
Qwen3.5 Plus
Alibaba/Qwen
Hosted version of Qwen3.5 397B with 1M context window and adaptive thinking for complex tasks.
Input
$0.40/M
Output
$2.40/M
Context
1.0M
Qwen3 Coder Next
Alibaba/Qwen
Alibaba's efficient code-focused MoE model. 80B total params, 3B active, Apache 2.0 licensed.
Input
$0.12/M
Output
$0.75/M
Context
256K
Qwen3-VL 235B
Alibaba/Qwen
Most capable open VLM rivaling GPT-5 across multimodal benchmarks. Strong reasoning and agentic capabilities.
Input
$0.30/M
Output
$0.60/M
Context
128K
Qwen3-Coder 480B
Alibaba/Qwen
Specialized code model trained on 7.5T tokens (70% code). Supports 100+ programming languages and agentic workflows.
Input
$0.30/M
Output
$0.60/M
Context
262K
Wan 2.2
Alibaba/Qwen
The successor to Wan 2.1, this open-source model introduces a Mixture-of-Experts flow-matching architecture with approximately 27 billion total parameters and 14 billion active during inference. Wan 2.2 delivers significantly improved motion quality, fine-grained detail, and extended generation lengths while maintaining the accessibility of fully open weights.
Input
Free/M
Output
Free/M
Qwen3 Max Thinking
Alibaba/Qwen
Alibaba's large-scale reasoning model with ~1T parameters and chain-of-thought capabilities.
Input
$1.20/M
Output
$6.00/M
Context
256K
Qwen3 8B
Alibaba/Qwen
Compact 8B model from the Qwen3 family with thinking mode support and strong efficiency for on-device use.
Input
$0.03/M
Output
$0.06/M
Context
131K
Qwen3 32B
Alibaba/Qwen
Alibaba's dense 32B model with dual thinking/non-thinking modes and strong reasoning performance.
Input
$0.08/M
Output
$0.20/M
Context
131K
Qwen3 30B-A3B
Alibaba/Qwen
Ultra-efficient MoE model with 128 experts and only 3.3B active parameters, ideal for cost-sensitive deployments.
Input
$0.02/M
Output
$0.04/M
Context
131K
Qwen3 4B
Alibaba/Qwen
Compact Qwen3 model with hybrid reasoning for edge deployment and resource-constrained environments.
Input
$0.05/M
Output
$0.15/M
Context
128K
Qwen3 235B
Alibaba/Qwen
Alibaba's large-scale open-source MoE model with thinking mode support.
Input
$0.20/M
Output
$0.60/M
Context
128K
Qwen3 0.6B
Alibaba/Qwen
Smallest Qwen3 model designed for ultra-lightweight deployment and edge inference.
Input
$0.01/M
Output
$0.03/M
Context
32K
Qwen3 1.7B
Alibaba/Qwen
Lightweight Qwen3 model for on-device AI applications with reasoning capability.
Input
$0.02/M
Output
$0.06/M
Context
128K
Qwen3 14B
Alibaba/Qwen
Dense model with hybrid thinking/non-thinking modes. Seamless switching between complex reasoning and general dialogue.
Input
$0.20/M
Output
$0.60/M
Context
128K
Wan 2.1
Alibaba/Qwen
Alibaba's open-source video generation model that achieved the number one ranking on the VBench video quality benchmark upon release. With 14 billion parameters, Wan 2.1 demonstrates exceptional prompt adherence, temporal consistency, and visual quality across diverse content types, establishing a new baseline for open-weight video synthesis models.
Input
Free/M
Output
Free/M
Qwen2.5-VL 3B
Alibaba/Qwen
Smallest Qwen VL model for lightweight vision-language tasks on constrained hardware.
Input
$0.04/M
Output
$0.12/M
Context
128K
Qwen2.5-VL 7B
Alibaba/Qwen
Compact vision-language model excelling at video and image analysis. Top small multimodal model on Hugging Face.
Input
$0.10/M
Output
$0.30/M
Context
128K
QwQ 32B
Alibaba/Qwen
Alibaba's open-source reasoning model with transparent chain-of-thought. Competitive with o1-mini.
Input
$0.10/M
Output
$0.30/M
Context
32K
Qwen2.5-Coder 7B
Alibaba/Qwen
Compact open-source coding model with impressive code generation capabilities.
Input
$0.03/M
Output
$0.03/M
Context
128K
Qwen2.5-Coder 32B
Alibaba/Qwen
Alibaba's open-source coding specialist. Matches GPT-4o on code benchmarks.
Input
$0.08/M
Output
$0.08/M
Context
128K
Qwen2-VL 72B
Alibaba/Qwen
Alibaba's open-source vision-language model with video understanding capabilities.
Input
$0.40/M
Output
$0.40/M
Context
32K
Qwen2.5 32B
Alibaba/Qwen
Strong mid-range open-source model from Alibaba with broad capabilities.
Input
$0.08/M
Output
$0.08/M
Context
128K
Qwen2.5 72B
Alibaba/Qwen
Alibaba's flagship open-source model. Competitive with Llama 3.1 405B at a fraction of the size.
Input
$0.30/M
Output
$0.30/M
Context
128K
Qwen2.5 7B
Alibaba/Qwen
Compact open-source model for edge deployment and fine-tuning.
Input
$0.03/M
Output
$0.03/M
Context
32K
Qwen2.5 14B
Alibaba/Qwen
Efficient open-source model balancing capability and speed.
Input
$0.05/M
Output
$0.05/M
Context
128K
Qwen2.5-Math 7B
Alibaba/Qwen
Compact math-specialized model with chain-of-thought reasoning for mathematical problem solving.
Input
$0.07/M
Output
$0.14/M
Context
128K
Qwen2.5-Math 72B
Alibaba/Qwen
Math-specialized model with step-by-step reasoning for complex mathematical problem solving.
Input
$0.40/M
Output
$1.20/M
Context
128K
Qwen2-Audio 7B
Alibaba/Qwen
Audio-language model for speech recognition, audio understanding, and music analysis.
Input
$0.10/M
Output
$0.30/M
Context
128K