Seed1.5-VL
Vision-language model for multimodal understanding and reasoning
- Status
- Not yet determined
- Last checked
- Aging · Sep 3, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Seed1.5-VL is a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.
Seed1.5-VL stands out as a comprehensive vision-language foundation model, offering advanced multimodal capabilities and state-of-the-art performance on numerous benchmarks.
When it fits — and when it doesn’t
A good fit for
Research teams advancing multimodal understanding and reasoning
Projects requiring state-of-the-art performance in vision-language tasks
Applications that need to process both visual and textual data
Look elsewhere if
Real-time applications with strict latency requirements (due to model size)
Teams without the computational resources for large-scale model inference
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation for advanced use cases
Official docs lack examples for complex multimodal tasks and customizations
- 02
Resource-intensive at scale, leading to high computational costs
State-of-the-art performance requires significant GPU resources for large datasets
What it does well
State-of-the-art performance on multimodal benchmarks
Vision-language understanding and reasoning capabilities
Foundation model for general-purpose applications
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Seed1.5-VL
Setup steps, common gotchas and what to check after 30 days.