Deep Reasoning CoT
The Seed 1.6 Thinking API generates internal logic steps to minimize errors in math and science.
Doubao Seed 1.6 Thinking (Build 250715)
The Seed 1.6 Thinking API delivers deep reasoning via Chain-of-Thought. This high-performance model from ByteDance excels in math and bilingual coding, providing a cost-effective alternative for complex logic tasks via GPTProto.
Contoh Penggunaan API
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 harga
Chat, agen coding & pekerjaan dokumen. Harga per 1 juta token — input, input yang di-cache, dan output ditagih secara terpisah. GPTProto 15% lebih murah daripada tarif resmi.
| Skenario | Daftar Bytedance | OpenRouter | GPTProto | Penghematan Anda / bln |
|---|---|---|---|---|
| Pribadi10M token / bln | $3.20 | $3.38 | $2.72 | −$0.48≈ $5.76 / thn |
| Tim100M token / bln | $31.99 | $33.75 | $27.20 | −$4.80≈ $57.55 / thn |
| Bisnis500M token / bln | $159.96 | $168.76 | $135.98 | −$23.98≈ $287.76 / thn |
Hemat $0.00 / bulan
Penghematan tahunan ≈ $0.00 · bayar sesuai pemakaian
Model Terkait
Semua Model
Doubao Seed 1.6 Thinking (Build 250715)Saat ini
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Model
Harga: GPTProto
vs Harga Resmi
vs OpenRouter
Konteks
Stabilitas
Doubao Seed 1.6 Thinking (Build 250715)Saat ini
Bytedance
$0.10 / $0.97per 1 juta token
-15%
-19%
262K
Key Seed 1.6 Thinking API Capabilities
Explore why the Seed 1.6 Thinking API is the preferred choice for developers needing deep logic, mathematical precision, and high-performance coding.
128k Context API
Process massive datasets and long-form code effortlessly with the Seed 1.6 extended context window.
Bilingual Coding
Expert-level proficiency in Python, Java, and C++, optimized for high-performance infra patterns.
Agentic Reliability
Advanced instruction following and tool-calling loops for building more resilient AI agents today.
Seed 1.6 Thinking API: Common Questions
Find detailed answers about the Seed 1.6 Thinking API, including performance, pricing, and integration steps for your reasoning-heavy applications.
What makes the Seed 1.6 Thinking API different?
Unlike standard models, the Seed 1.6 Thinking API utilizes a hidden Chain-of-Thought process. It generates internal reasoning tokens to solve complex logical puzzles and math problems with higher accuracy, significantly reducing hallucinations compared to non-thinking versions.
How do I integrate the 1.6 Thinking model via API?
You can connect to the Seed 1.6 Thinking API using our OpenAI-compatible endpoint. Simply update your base URL and use the model ID 'doubao-seed-1.6-thinking-250715'. It supports streaming, meaning you can receive the thinking process in real-time for better transparency.
Is my data secure with the Seed thinking API?
Yes. When using the Seed 1.6 Thinking API through GPTProto.com, your data is protected under our Enterprise API layer. ByteDance and GPTProto adhere to strict policies ensuring your inputs are not used for foundation model training, with zero data retention options.
What is the context window for Seed 1.6?
The Seed 1.6 Thinking API features a robust 128,000 token context window. This allows for deep analysis of large repositories, complex legal documents, or extensive research papers, while maintaining high adherence to multi-step system instructions and prompts.
Why use the Seed 1.6 API over OpenAI o1?
While performance is comparable in math and coding benchmarks, the Seed 1.6 Thinking API is approximately 70% more cost-effective. It offers a $0.12 per 1M input token rate, making elite reasoning accessible for high-volume agentic workflows and developers.
Does Seed 1.6 support vision and tool calling?
Absolutely. The Seed 1.6 Thinking API supports image-to-text multimodal capabilities and is specifically tuned for reliable tool-calling. It shows a 15% improvement in recovering from incorrect tool outputs, making it ideal for autonomous agent backbones.
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