Qwen: Qwen3.5-9B
Alibaba
Capabilities
Strengths
- Excellent vision and multimodal understanding for 9B class
- 262K context window enables long document processing
- Open weights allow full self-hosting and fine-tuning
- Strong reasoning and structured output capability
Weaknesses
- Extremely slow inference (0.02 speed score)
- Coding performance moderate for size (0.53)
- Analysis and QA fitness below balanced tier average
- Training data transparency limited
Pricing
Input / 1M tokens
$0.09999999999999999
Output / 1M tokens
$0.15
Context window
262.144k
Transparency
Open weights
10.0 / 10
Open training data
0.0 / 10
Open methodology
7.5 / 10
Licence openness
8.5 / 10
Provider disclosure
7.0 / 10
FMTI company score
N/A
Open-weight model with published architecture and training details. Alibaba publishes model cards and capability reports. Training data sources not fully disclosed. Apache 2.0 license enables commercial and research use.
Sustainability
Inference energy
7.8 / 10
Training footprint
N/A
Provider infrastructure
6.0 / 10
9B parameter size implies low inference energy relative to flagship models; supports efficient deployment on consumer hardware. Alibaba's sustainability commitments partially disclosed; no explicit green infrastructure data published for this model.