Doubao Seed 1.5: ByteDance's Open-Source LLM Powerhouse

The model also excels in SWE-bench, a standard for measuring software engineering capabilities. It successfully resolves 45% of the benchmarked issues, outperforming many closed-source alternatives in specific domains. The context window is optimized for long-form content, allowing for deep analysis of extensive documents without losing coherence or detail.

• MMLU Score: 86.5
• HumanEval Score: 84.2
• SWE-bench Resolution: 45%
• Context Window: 128k

API Pricing

ByteDance has structured a flexible pricing model to encourage adoption among developers and enterprises. The API offers a free tier for low-volume testing, allowing users to validate their integrations without financial risk. For production environments, the pricing is competitive, with input tokens costing $0.20 per million and output tokens costing $0.60 per million. This structure makes it viable for high-throughput applications where token usage is significant.

The value proposition extends beyond cost; the open-source weights allow for local deployment, eliminating egress fees for sensitive data. Developers can choose between the cloud API for speed or on-premise deployment for security. This dual approach ensures that Doubao remains accessible to startups needing rapid iteration as well as large corporations requiring strict data governance.

• Free Tier Available for Testing
• Input Price: $0.20 / 1M tokens
• Output Price: $0.60 / 1M tokens
• Local Deployment Options

Comparison Table

When placed alongside other leading models in the market, Doubao Seed 1.5 stands out for its multimodal capabilities and open-source availability. While competitors focus heavily on raw parameter counts, Doubao emphasizes practical utility across a wider range of tasks. The pricing structure is also more developer-friendly compared to premium closed-source APIs that charge significantly higher rates for output tokens.

Use Cases

The versatility of Doubao Seed 1.5 makes it suitable for a wide array of real-world applications. In the coding domain, it acts as a pair programmer, capable of debugging, refactoring, and generating boilerplate code efficiently. For data analysts, the model supports complex reasoning tasks, allowing users to query databases and interpret results through natural language prompts without extensive SQL knowledge.

Vision and voice capabilities open new doors for accessibility and automation. Developers can build agents that interact with users via voice commands while analyzing visual inputs simultaneously. RAG (Retrieval-Augmented Generation) pipelines benefit from the model's ability to maintain context over long documents, making it ideal for knowledge bases and customer support automation systems.

• Code Generation & Debugging
• Voice & Vision Interaction
• RAG & Knowledge Bases
• Customer Support Agents

Getting Started

Accessing Doubao Seed 1.5 is streamlined for developers through the Volcano Engine platform. You can register for an API key directly on the ByteDance developer portal to begin integration. The SDKs are available in Python, Java, and Go, simplifying the connection process for backend engineers. Documentation is comprehensive, providing examples for common tasks like image analysis and code execution.

For those interested in the open-source weights, the model is hosted on GitHub under a permissive license. This allows for local installation using standard frameworks like Hugging Face. By following the official installation guides, engineers can deploy the model on their own infrastructure, ensuring full control over data privacy and model performance tuning.

• Volcano Engine API Endpoint
• GitHub Repository for Weights
• Python/Java/Go SDKs
• Permissive License (MIT/Apache)

Comparison

API Pricing — Input: 0.20 / Output: 0.60 / Context: 128k

Sources