Pricing+7% bonus
Bytedance
Doubao Seed 1.6 Thinking (Build 250715)
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.

Modalities

Input: TextInput: Image
Output: Text

Context

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API Usage Examples
curl --request POST "https://gptproto.com/v1/chat/completions" \
    --header "Authorization: Bearer $GPTPROTO_API_KEY" \
    --header "Content-Type: application/json" \
    --data '{
        "model": "doubao-seed-1-6-thinking-250715",
        "messages": [
            {
                "role": "user",
                "content": "Hello"
            }
        ]
    }'
Doubao Seed 1.6 Thinking 250715 pricing

Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 15% below official rates.

ScenarioBytedance listOpenRouterGPTProtoYou save / mo
Personal10M tokens / mo$3.20$3.38$2.72−$0.48≈ $5.76 / yr
Team100M tokens / mo$31.99$33.75$27.20−$4.80≈ $57.55 / yr
Business500M tokens / mo$159.96$168.76$135.98−$23.98≈ $287.76 / yr
Monthly cost by source
OpenRouter
$0.00
Bytedance
$0.00
GPTProto
$0.00
Save $0.00 / month
Annual savings ≈ $0.00 · pay as you go
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Doubao Seed 1.6 Thinking (Build 250615)

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doubao 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.

Deep Reasoning Engine

The doubao seed 1.6 thinking model uses hidden Chain-of-Thought to minimize logic hallucinations.

128k Context Window

Process massive datasets or long-form documentation with doubao seed 1.6 thinking’s huge memory.

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.

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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