Capabilities & limits
- Model Brand
- DeepSeek
- Input modality
- Text / Image
- Output modality
- Text
- Max output
- 384K tokens
DeepSeek V4.1 Flash 1017
deepseek-v4.1-flash-1017deepseek-v4.1-flash-1017DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the deepseek-flash API model name. V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on output from a 552B-parameter backbone, an asymmetric split that keeps per-token compute low relative to the model's total size. Image understanding is native to the architecture, with visual and text embeddings trained jointly from the start of pre-training rather than added afterward as in the earlier experimental V4 Flash Vision Exp. It is suited for coding, terminal, and computer-use agents, along with long-horizon tasks that must run to completion across many steps and long-context analysis. Compressed KV caching cuts cache memory to roughly a quarter of the previous Flash generation, significantly reducing costs on agentic workloads. DeepSeek positions it as the cost-efficient tier of the V4.1 family and reports that it exceeds V4 Pro on performance, speed, and task completion time.
curl http://127.0.0.1:4179/v1/chat/completions \
-H "Authorization: Bearer <YOUR_API_KEY>" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4.1-flash-1017",
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Replace <YOUR_API_KEY> with the API key generated on your token management page.
All requests must include the Authorization: Bearer <TOKEN> header.
No rate limits configured
RPM = requests per minute.