1M
text, image
text
Supported
About this model
DeepSeek-V4.1-Flash is DeepSeek's multimodal Mixture-of-Experts model designed for advanced reasoning, coding, long-horizon agentic workflows, visual understanding, cybersecurity, and long-context processing. It has 552B backbone parameters while activating only 8B parameters per token during prefill and 16B during decoding. The model uses a 40-layer Causal Encoder-Decoder architecture together with Compressed Sparse Attention 2, Single-Pass mHC, Engram conditional memory, and DSpark speculative decoding to reduce inference and KV-cache costs. It natively processes text and images, supports a 1M-token context window, tool calling, and continuously configurable reasoning effort from 1 to 100.
Input modalities
text
Accepted as model input
image
Accepted as model input
Providers
Available routing options for this model through OneInfer.
Input tokens
$0.300 / 1M tokens
Output tokens
$1.200 / 1M tokens
Routing
OneInfer optimized
Pricing
Current OneInfer pricing for this model.
| Usage | Price |
|---|---|
| Input tokens | $0.300 / 1M tokens |
| Output tokens | $1.200 / 1M tokens |
| Cached input tokens | $0.0060 / 1M tokens |
Performance & Benchmarks
Independent evaluations and live cluster operational metrics
We haven’t measured this model yet. Published academic results are under Academic Evaluations.
API Guide
- 1
Generate your access token
Use your API key to generate the JWT access token required by the Models API.
- 2
Add the JWT token
Copy the generated JWT token and replace
JWT_TOKENin the example below. - 3
Check your credits
If your balance is too low, before calling the model.
- 4
Run the API example
Choose your preferred language, copy the example, and send your first model request.
curl https://api.oneinfer.ai/v1/ula/chat/completions \ -H "Authorization: Bearer $JWT_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "model": "deepseek-ai/DeepSeek-V4.1-Flash", "messages": [ { "role": "user", "content": "Hello!" } ] }'
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