128k Context Window
Process massive datasets or long-form documentation with doubao seed 1.6 thinking’s huge memory.
doubao-seed-1-6-thinking-250715 / image-to-text
doubao seed 1.6 thinking is ByteDance’s premier reasoning model. With a 128k context window, seed 1.6 thinking excels at complex math, coding, and logical chain-of-thought tasks, providing a cost-effective alternative to o1-series models.
$ 0.0965
$ 0.1135
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$ 0.9706
$ 1.1419
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All Modelsdoubao seed 1.6 thinking Features
Explore the core capabilities of doubao seed 1.6 thinking, from its massive context window to its specialized reasoning chains.
Bilingual Coding Pro
Elite performance in Python and C++, optimized by the doubao seed 1.6 thinking development team.
Cost-Effective API
Save up to 70% on reasoning costs with doubao compared to other SOTA reasoning models.
Deep Reasoning Engine
The doubao seed 1.6 thinking model uses hidden Chain-of-Thought to minimize logic hallucinations.
How to Get a doubao-seed-1-6-thinking-250715 API Key
Getting a doubao-seed-1-6-thinking-250715 API key takes four steps and a few minutes. Create a free GPTProto account, add credits, generate your key, and make your first call — at $0.0965 / $0.9706 it's a cheaper doubao-seed-1-6-thinking-250715 API key than going direct, and one key works across every model on the platform. Full doubao-seed-1-6-thinking-250715 Documentation is in the docs.
Sign up
Create your free GPT Proto account to begin. You can set up an organization for your team at any time.
Top up
Your balance can be used across all models on the platform, including doubao-seed-1-6-thinking-250715, giving you the flexibility to experiment and scale as needed.
Generate your API key
In your dashboard, create an API key — you'll need it to authenticate when making requests to doubao-seed-1-6-thinking-250715.
Make your first API call
Use your API key with our sample code to send a request to doubao-seed-1-6-thinking-250715 via GPT Proto and see instant AI-powered results.
doubao seed 1.6 thinking FAQ
Common questions about using doubao seed 1.6 thinking for complex reasoning, math, and coding tasks on the GPTProto.com platform.
What makes doubao seed 1.6 thinking unique for math?
This doubao model achieves over 80% accuracy on the MATH-500 benchmark. The seed 1.6 thinking process creates internal reasoning steps, allowing doubao to verify logic before outputting a final answer. This specifically helps in solving graduate-level calculus and competitive programming problems where standard models often hallucinate.
How does doubao compare to OpenAI o1-mini in cost?
At $0.48 per 1 million output tokens, doubao seed 1.6 thinking is roughly 70% cheaper than OpenAI o1-preview. For teams running high-volume reasoning tasks or complex agentic loops, doubao provides comparable logic performance at a fraction of the price, making it a highly scalable choice for production environments.
Can doubao seed 1.6 thinking handle long context?
Yes, doubao supports an expansive context window of up to 128,000 tokens. You can feed doubao entire software repositories or long legal documents, and the seed 1.6 thinking logic will maintain coherence throughout. This is ideal for cross-referencing multi-part regulatory documents to identify conflicting clauses.
Is doubao seed 1.6 thinking good for coding tasks?
Absolutely. This doubao model is a bilingual coding expert, outperforming many models in Python, Java, and C++. The seed 1.6 thinking engine is specifically optimized for identifying subtle race conditions or memory leaks in large repositories where standard non-reasoning models fail to trace the logic deep enough.
Does GPTProto.com offer data privacy for doubao?
Yes. Data sent to doubao seed 1.6 thinking through our enterprise API layer is never used for training foundation models by us or ByteDance. We offer zero data retention on request, ensuring your doubao sessions and proprietary code remain private, secure, and compliant with enterprise standards.
What is the typical latency for doubao thinking?
Expect a Time-To-First-Token of 2-4 seconds while the model 'thinks.' Once doubao completes its internal seed 1.6 thinking chain, it generates final response tokens at high speed. This model is 30% faster than the previous 1.0 iteration, balancing deep reasoning with acceptable performance for interactive applications.
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