Hidden Chain-of-Thought Logic
The model generates an internal reasoning trace to verify logic before responding, significantly reducing hallucinations in multi-step math and legal queries.
Doubao Seed 1.6 Thinking (Build 250615)
The Doubao Seed 1.6 Thinking API brings elite logic and 256k context to your workflow. Built by ByteDance, it uses hidden Chain-of-Thought reasoning to solve complex STEM and coding problems with precision and cost-efficiency on GPTProto.com.
Esempi di utilizzo dell’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-250615",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Prezzi Doubao Seed 1.6 Thinking 250615
Chat, agenti di coding e lavoro sui documenti. Prezzi per 1M di token: input, input memorizzato nella cache e output vengono fatturati separatamente. GPTProto costa il 15% in meno rispetto alle tariffe ufficiali.
| Scenario | Listino ufficiale Bytedance | OpenRouter | GPTProto | Risparmi al mese |
|---|---|---|---|---|
| Personale10M token/mese | $3.20 | $3.38 | $2.72 | −$0.48≈ $5.76 / anno |
| Team100M token/mese | $31.99 | $33.75 | $27.20 | −$4.80≈ $57.55 / anno |
| Aziendale500M token/mese | $159.96 | $168.76 | $135.98 | −$23.98≈ $287.76 / anno |
Risparmia $0.00 / mese
Risparmio annuale ≈ $0.00 · pagamento a consumo
Modelli correlati
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Doubao Seed 1.6 Thinking (Build 250615)Attuale
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Bytedance · 262K context · $0.0971/M input · $0.9714/M output
Modello
Prezzo: GPTProto
vs ufficiale
vs OpenRouter
Contesto
Stabilità
Doubao Seed 1.6 Thinking (Build 250615)Attuale
Bytedance
$0.10 / $0.97per 1M di token
-15%
-19%
262K
Doubao Seed 1.6 Thinking API Features
Standout technical capabilities of the 1.6 seed version for advanced AI development.
92.5% MATH Benchmark Score
Specifically tuned for Olympiad-level mathematics, the model maintains high accuracy on AIME and AMC-level problems with pedagogical precision.
256k Long-Context Handling
Process massive repositories or 100-page documents with a 256,000 token window, perfect for deep architectural coding and complex data extraction.
Cost-Effective Agentic Planning
Decompose high-level goals into tool calls at 1/10th the cost of proprietary models, making it the ideal brain for multi-step agentic workflows.
Doubao Seed 1.6 Thinking API Questions
Common inquiries regarding the 1.6 seed thinking model capabilities, pricing, and integration.
Why use Doubao Seed 1.6 Thinking API for coding?
The Doubao Seed 1.6 Thinking API excels at architectural coding tasks. Unlike lite models, it can refactor large-scale repositories, identify subtle edge cases in distributed systems, and write unit tests for complex logic with a 94.2% HumanEval success rate. Its internal reasoning allows it to plan code structures before writing, ensuring higher pedagogical accuracy and fewer bugs in multi-file software engineering projects.
How does Doubao Seed 1.6 Thinking API pricing work?
Pricing for the Doubao Seed 1.6 Thinking API is highly competitive at $0.15 per 1M input tokens and $0.60 per 1M output tokens. It is important to note that you are billed for total output, which includes the hidden reasoning tokens generated during the 'thinking' phase. Despite this, it remains roughly 1/10th the cost of comparable high-reasoning models like the o1-preview, offering massive savings for enterprise-scale agents.
What is the context window for this 1.6 seed model?
This model features a 256,000 token context window, allowing for the processing of massive datasets. It is ideal for extracting structured entities from messy, 100-plus page legal or financial documents where context-sensitive interpretation is required. The high capacity ensures that the model maintains coherence and 'remembers' details across extremely long conversations or large codebase audits without losing logical thread.
Is the Doubao Seed 1.6 Thinking API OpenAI-compatible?
Yes, the Doubao Seed 1.6 Thinking API is fully OpenAI-compatible. Developers can easily migrate by swapping the base URL and model name in their existing SDK setup. It supports standard parameters like temperature, top_p, and max_tokens. We recommend a temperature of 0.7 to 1.0 to allow the internal Chain-of-Thought process to explore optimal reasoning paths, and streaming is supported to improve user experience during the thinking phase.
Why is the latency higher for the 1.6 thinking model?
Because the model 'thinks' before speaking, the Time To First Token (TTFT) is higher than standard models, typically ranging from 3 to 10 seconds. This delay is the result of the hidden reasoning phase where the model verifies logic and solves multi-step problems internally. While not ideal for simple chatbots, this latency is a necessary trade-off for the extreme accuracy required in math proofs and complex scientific research.
Does Doubao Seed 1.6 handle multimodal inputs?
Yes, the Doubao Seed 1.6 Thinking API supports multimodal inputs, including text and images. This allows it to reason through visual data, such as reading complex charts or identifying errors in architectural diagrams, and then apply its logical thinking process to provide a detailed analysis. It is especially strong at interpreting visual information within the context of mathematical or technical instructions.
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