Seed1.5-VL

Vision-language model for multimodal understanding and reasoning

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

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

Strength Radar

State-of-the-art…Vision-language …Foundation model…

Honest assessment

Strengths & Weaknesses

↑ Strengths

State-of-the-art performance on multimodal benchmarks

Vision-language understanding and reasoning capabilities

Foundation model for general-purpose applications

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

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with Seed1.5-VL

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →