Seed1.5-VL
Vision-language model for multimodal understanding and reasoning
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Seed1.5-VL?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official docs lack examples for complex multimodal tasks and customizations
State-of-the-art performance requires significant GPU resources for large datasets
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
Real-time applications with strict latency requirements (due to model size)
Teams without the computational resources for large-scale model inference
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Alternatives
Works well with
Integrations
Next step
Get Started with Seed1.5-VL
Step-by-step setup guide with code examples and common gotchas.