Sub-Second Seed Latency
Optimized Time-to-First-Token ensures that your application feels instant, making this 1.6 flash model perfect for interactive UI agents.
Doubao Seed 1.6 Flash (Build 250615)
The Seed 1.6 Flash API delivers sub-second latency and extreme throughput for real-time apps. This Doubao iteration handles 128k context windows with native function calling, offering a superior cost-to-performance ratio for global scale.
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-flash-250615",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Doubao Seed 1.6 Flash 250615 pricing
Chat, coding agents & document work. Priced per 1M tokens — input, cached input and output are billed separately. GPTProto is 15% below official rates.
Your usage
Bytedance · ≈ 100M tokens/mo (0M cached)
OpenRouter
List + 5.5% credit fee
$6.3257
per month
Input (non-cached)$1.8061
Output$4.5196
Bytedance
Direct from Bytedance (list price)
$5.9959
per month
Input (non-cached)$1.712
Output$4.284
BEST VALUE
GPTProto
15% off official
$5.098
per month
After discount$5.098
Effective$5.098
Monthly cost by source
OpenRouter
$6.3257
Bytedance
$5.9959
GPTProto
$5.098
Save $0.90 / month
on GPTProto vs Bytedance (−15%)
Annual savings ≈ $10.78 · pay as you go
GPTProto applies a per-model discount (10–30% off official) on top of bonus credits — every unit costs less than going direct.
Related Models
All Models
| Model | Input → Output | ||||
|---|---|---|---|---|---|
| 262K | $0.02 / $0.18 per 1M | — | Input: TextInput: Image Output: Text | |
| — | — | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.05M | $0.79 / $2.38 per 1M | — / $0.04 per 1M | Input: Text Output: Text | ||
| 1.05M | $8.00 / $40.00 per 1M | $10.00 / $0.80 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| 1M | $9.00 / $45.00 per 1M | $11.25 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: DocumentInput: Audio Output: Text | ||
| — | 1.31M | $0.15 / $0.50 per 1M | — / $0.03 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | |
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: TextInput: Image Output: Text | |
| 1.31M | $1.26 / $3.96 per 1M | — / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | — / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $5.40 per 1M | $2.25 / $0.23 per 1M | Input: TextInput: ImageInput: VideoInput: Document Output: Text | ||
| 1M | $4.50 / $22.50 per 1M | $5.63 / $0.45 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.90 / $4.50 per 1M | $0.60 / $0.09 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $2.70 / $13.50 per 1M | $0.27 / $0.27 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $0.16 / $0.96 per 1M | $0.20 / $0.02 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.60 / $9.60 per 1M | $2.00 / $0.16 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 500K | $1.20 / $3.60 per 1M | $0.30 / $0.30 per 1M | Input: TextInput: Image Output: Text | ||
| 1M | $1.80 / $9.00 per 1M | $2.25 / $0.18 per 1M | Input: TextInput: Document Output: Text | ||
| 1.05M | $0.48 / $0.96 per 1M | $0.10 / $0.10 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1.05M | $1.26 / $3.96 per 1M | $0.23 / $0.23 per 1M | Input: TextInput: ImageInput: Document Output: Text | ||
| 1M | $0.36 / $1.44 per 1M | $0.07 / $0.07 per 1M | Input: TextInput: Document Output: Text | ||
| — | 1.05M | $0.30 / $1.20 per 1M | — / $0.006 per 1M | Input: Text Output: Text | |
| 1M | $0.75 / $1.50 per 1M | $0.12 / $0.12 per 1M | Input: TextInput: Image Output: Text | ||
| 262K | $0.85 / $3.60 per 1M | $0.14 / $0.14 per 1M | Input: TextInput: Document Output: Text | ||
| 205K | $0.24 / $0.96 per 1M | $0.30 / $0.02 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.54 / $2.70 per 1M | $0.09 / $0.09 per 1M | Input: TextInput: Document Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.97 per 1M | — | Input: TextInput: Image Output: Text | ||
| 262K | $0.10 / $0.24 per 1M | — | Input: TextInput: Image Output: Text | ||
| — | $0.10 / $0.24 per 1M | — | Input: Text Output: Text | ||
| — | $0.36 / $1.09 per 1M | — | Input: TextInput: Image Output: Text |
Seed 1.6 Flash API: Key Features
The Seed 1.6 Flash API combines ByteDance’s technical expertise with a focus on speed and reliability for enterprise AI deployments.
128k Seed Context Window
Process extensive documents and long conversation histories using the massive 128k capacity of the seed 1.6 flash api architecture.
Bilingual Logic Mastery
The 1.6 iteration outperforms Western models in Chinese language nuance while maintaining high precision in English instructions.
Enterprise Flash Throughput
Built for scale, the seed 1.6 flash api supports higher QPS limits, ensuring reliability during peak traffic for global applications.
Seed 1.6 Flash API: Frequently Asked Questions
Explore technical details about the Seed 1.6 Flash API, including its performance benchmarks, bilingual optimization, and how it compares to other low-latency models like GPT-4o-mini.
What makes the Seed 1.6 Flash API unique?
The seed 1.6 flash api is built for extreme efficiency. Unlike standard models, this seed variant prioritizes sub-second latency and high throughput. It is specifically optimized by ByteDance to outperform global competitors in Chinese language tasks while maintaining a very low cost-per-token. This makes the 1.6 iteration ideal for high-volume tasks where speed is as critical as accuracy.
How does the seed 1.6 flash api handle bilingual tasks?
This model leverages massive datasets to provide superior bilingual versatility. The seed 1.6 logic handles code-switching between English and Chinese seamlessly. In benchmarks like C-Eval and CMMLU, the flash api matches the performance of much larger models, ensuring that nuances in idioms and cultural context are preserved without the typical performance degradation found in smaller parameter architectures.
Is the Seed 1.6 Flash API cost-effective?
Yes, it is one of the most budget-friendly options for developers. With an input price of approximately $0.08 per 1M tokens, the seed 1.6 flash api is significantly cheaper than GPT-4o-mini. GPTProto users also benefit from consolidated billing and potential context caching discounts, making this 1.6 model a top choice for startups and enterprises scaling their AI operations.
Can I use the Seed 1.6 Flash API for RAG?
Absolutely. The seed 1.6 flash api is an excellent choice for Retrieval-Augmented Generation (RAG) synthesis. Its 128k context window allows it to process multiple retrieved documents quickly. While the Pro variant might be better for deep academic reasoning, the flash api is superior for fast summarization and factual extraction where response time directly impacts user experience.
How do I migrate to the Seed 1.6 Flash API?
Migration is straightforward since the seed 1.6 flash api is OpenAI-compatible. Simply update your base URL and model string in your existing SDK. Because it follows instructions with high precision, most system prompts designed for other flash models will work immediately. This 1.6 version supports streaming and standard parameters like temperature and top_p for easy tuning.
Does the Seed 1.6 Flash API support structured data?
Yes, it has native support for JSON mode and function calling. The seed 1.6 flash api is engineered to generate structured outputs with a low hallucination rate. This is particularly useful for developers building agents that need to call external tools or APIs. By setting the response format to json_object, you ensure consistent, parseable data from the 1.6 model every time.
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