DeepSeek-V4.1-Flash is the lightweight flagship of DeepSeek's new architecture family, packing 552B total MoE parameters to deliver flagship-surpassing intelligence across key benchmarks, including out-performing DeepSeek-V4-Pro. It adopts a Causal Encoder-Decoder asymmetric design with 8B active parameters for input and 16B for output, and offers native multimodal visual understanding. KV Cache usage is cut to one-quarter of the previous generation's HBM and one-eighth of its SSD storage, dramatically lowering costs for long-context and agentic workloads. With a 1M-token context window and up to 384K-token maximum output, it balances high throughput, low latency, and exceptional cost efficiency.
Inference Service Provider
The inference service provider for deepseek-v4.1-flash is Alibaba Cloud Model Studio.
Model Capabilities
China (Beijing)
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text, Image | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported (JSON Object only) | Web Search | Supported |
Prefix Completion | Unsupported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Singapore
Scope: International
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text, Image | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported (JSON Object only) | Web Search | Supported |
Prefix Completion | Unsupported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Germany (Frankfurt)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text, Image | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported (JSON Object only) | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
US (Virginia)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text, Image | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported (JSON Object only) | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Japan (Tokyo)
Scope: Global
| Capability | Support | Capability | Support |
|---|---|---|---|
Input Modality | Text, Image | Output Modality | Text |
Model Experience | Supported | Function Calling | Supported |
Structured Outputs | Supported (JSON Object only) | Web Search | Unsupported |
Prefix Completion | Unsupported | Context Caching | Supported |
Batch Inference | Unsupported | Fine-tuning | Unsupported |
Context Limits
| Parameter | Value | Parameter | Value |
|---|---|---|---|
Max Input Length | 1000000 | Max Output Length | 393216 |
Context Window | 1000000 | Max Input Length (Thinking Mode) | 1000000 |
Max Output Length (Thinking Mode) | 393216 | Max Chain-of-Thought Length | 393216 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
Idle hours are 22:00–08:00 the next day (UTC+8); all other times are busy hours.
China (Beijing)
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input (Idle hours) | 0.141 | Per 1M tokens |
Input (Busy hours) | 0.283 | Per 1M tokens |
Output (Idle hours) | 0.565 | Per 1M tokens |
Output (Busy hours) | 1.131 | Per 1M tokens |
Input(Implicit Cache, Idle hours) | 0.014 | Per 1M tokens |
Input(Implicit Cache, Busy hours) | 0.028 | Per 1M tokens |
Singapore
Scope: International
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input (Idle hours) | 0.15 | Per 1M tokens |
Input (Busy hours) | 0.3 | Per 1M tokens |
Output (Idle hours) | 0.6 | Per 1M tokens |
Output (Busy hours) | 1.2 | Per 1M tokens |
Input(Implicit Cache, Idle hours) | 0.015 | Per 1M tokens |
Input(Implicit Cache, Busy hours) | 0.03 | Per 1M tokens |
Germany (Frankfurt)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input (Idle hours) | 0.141 | Per 1M tokens |
Input (Busy hours) | 0.283 | Per 1M tokens |
Output (Idle hours) | 0.565 | Per 1M tokens |
Output (Busy hours) | 1.131 | Per 1M tokens |
Input(Implicit Cache, Idle hours) | 0.014 | Per 1M tokens |
Input(Implicit Cache, Busy hours) | 0.028 | Per 1M tokens |
US (Virginia)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input (Idle hours) | 0.141 | Per 1M tokens |
Input (Busy hours) | 0.283 | Per 1M tokens |
Output (Idle hours) | 0.565 | Per 1M tokens |
Output (Busy hours) | 1.131 | Per 1M tokens |
Input(Implicit Cache, Idle hours) | 0.014 | Per 1M tokens |
Input(Implicit Cache, Busy hours) | 0.028 | Per 1M tokens |
Japan (Tokyo)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
Input (Idle hours) | 0.141 | Per 1M tokens |
Input (Busy hours) | 0.283 | Per 1M tokens |
Output (Idle hours) | 0.565 | Per 1M tokens |
Output (Busy hours) | 1.131 | Per 1M tokens |
Input(Implicit Cache, Idle hours) | 0.014 | Per 1M tokens |
Input(Implicit Cache, Busy hours) | 0.028 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 1,200,000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 10000 |
TPM (Tokens Per Minute) | 1,200,000 |
Germany (Frankfurt)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 1,200,000 |
US (Virginia)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 1,200,000 |
Japan (Tokyo)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 1,200,000 |
Hong Kong (China)
Scope: Global
| Parameter | Value |
|---|---|
RPM (Requests Per Minute) | 15000 |
TPM (Tokens Per Minute) | 1,200,000 |
Snapshot Versions
deepseek-v4.1-flash-1017
DeepSeek-V4.1-Flash-1017 is the latest iteration of V4.1-Flash, trained with self-feedback-based reinforcement learning to deliver substantial gains over its predecessor across benchmarks such as Terminal-Bench 4.0, DeepSWE v1.1, and ProgramBench, while shortening task runtime and output length to reach a new performance–cost Pareto optimum across multiple harnesses. Its ability to build complete projects from scratch is further strengthened, enabling "wish-based" programming tasks such as game development and 3D modeling, while retaining the same 552B-parameter MoE, native multimodal visual understanding, 1M-token context window, and 384K-token maximum output.
Inference Service Provider
The inference service provider for deepseek-v4.1-flash-1017 is Alibaba Cloud Model Studio.
Model Capabilities
The following capabilities apply to China (Beijing), Singapore, Germany (Frankfurt), US (Virginia), Japan (Tokyo), and Hong Kong (China).
| Capability | Support |
|---|---|
| Input Modality | Text, Image |
| Output Modality | Text |
| Model Experience | Supported |
| Thinking | Supported |
| Function Calling | Supported |
| Structured Outputs (JSON Object) | Supported |
| Implicit Context Caching | Supported |
| Web Search | Supported |
| Prefix Completion | Unsupported |
| Batch Inference | Unsupported |
| Fine-tuning | Unsupported |
| Chat Completions | Supported |
| Responses API | Supported |
| Anthropic API | Supported |
The Responses API supports the built-in tools web_search, web_extractor, and code_interpreter. The Anthropic API supports the built-in tools web_search and web_fetch.
For Chat Completions, tool_choice supports auto, none, required, and specifying a named function.
Context Limits
All values are in tokens.
| Parameter | Value |
|---|---|
| Max Input Length | 1000000 |
| Max Output Length | 393216 |
| Context Window | 1000000 |
| Max Input Length (Thinking Mode) | 1000000 |
| Max Output Length (Thinking Mode) | 393216 |
| Max Chain-of-Thought Length | 393216 |
Pricing
This page only shows the original pricing for model API calls, excluding any limited-time promotions. Visit Model Studio Console for promotional offers.
Idle hours are 22:00–08:00 the next day (UTC+8); all other times are busy hours.
China (Beijing)
| Billing Item | Price (USD) | Unit |
|---|---|---|
| Input (Idle hours) | 0.141 | Per 1M tokens |
| Input (Busy hours) | 0.283 | Per 1M tokens |
| Output (Idle hours) | 0.565 | Per 1M tokens |
| Output (Busy hours) | 1.131 | Per 1M tokens |
| Input (Implicit Cache Hit, Idle hours) | 0.014 | Per 1M tokens |
| Input (Implicit Cache Hit, Busy hours) | 0.028 | Per 1M tokens |
Singapore
Scope: International
| Billing Item | Price (USD) | Unit |
|---|---|---|
| Input (Idle hours) | 0.15 | Per 1M tokens |
| Input (Busy hours) | 0.3 | Per 1M tokens |
| Output (Idle hours) | 0.6 | Per 1M tokens |
| Output (Busy hours) | 1.2 | Per 1M tokens |
| Input (Implicit Cache Hit, Idle hours) | 0.015 | Per 1M tokens |
| Input (Implicit Cache Hit, Busy hours) | 0.03 | Per 1M tokens |
Germany (Frankfurt)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
| Input (Idle hours) | 0.141 | Per 1M tokens |
| Input (Busy hours) | 0.283 | Per 1M tokens |
| Output (Idle hours) | 0.565 | Per 1M tokens |
| Output (Busy hours) | 1.131 | Per 1M tokens |
| Input (Implicit Cache Hit, Idle hours) | 0.014 | Per 1M tokens |
| Input (Implicit Cache Hit, Busy hours) | 0.028 | Per 1M tokens |
US (Virginia)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
| Input (Idle hours) | 0.141 | Per 1M tokens |
| Input (Busy hours) | 0.283 | Per 1M tokens |
| Output (Idle hours) | 0.565 | Per 1M tokens |
| Output (Busy hours) | 1.131 | Per 1M tokens |
| Input (Implicit Cache Hit, Idle hours) | 0.014 | Per 1M tokens |
| Input (Implicit Cache Hit, Busy hours) | 0.028 | Per 1M tokens |
Japan (Tokyo)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
| Input (Idle hours) | 0.141 | Per 1M tokens |
| Input (Busy hours) | 0.283 | Per 1M tokens |
| Output (Idle hours) | 0.565 | Per 1M tokens |
| Output (Busy hours) | 1.131 | Per 1M tokens |
| Input (Implicit Cache Hit, Idle hours) | 0.014 | Per 1M tokens |
| Input (Implicit Cache Hit, Busy hours) | 0.028 | Per 1M tokens |
Hong Kong (China)
Scope: Global
| Billing Item | Price (USD) | Unit |
|---|---|---|
| Input (Idle hours) | 0.141 | Per 1M tokens |
| Input (Busy hours) | 0.283 | Per 1M tokens |
| Output (Idle hours) | 0.565 | Per 1M tokens |
| Output (Busy hours) | 1.131 | Per 1M tokens |
| Input (Implicit Cache Hit, Idle hours) | 0.014 | Per 1M tokens |
| Input (Implicit Cache Hit, Busy hours) | 0.028 | Per 1M tokens |
Rate Limits
China (Beijing)
| Parameter | Value |
|---|---|
| RPM (Requests Per Minute) | 15000 |
| TPM (Tokens Per Minute) | 1200000 |
Singapore
Scope: International
| Parameter | Value |
|---|---|
| RPM (Requests Per Minute) | 10000 |
| TPM (Tokens Per Minute) | 1200000 |
Germany (Frankfurt)
Scope: Global
| Parameter | Value |
|---|---|
| RPM (Requests Per Minute) | 15000 |
| TPM (Tokens Per Minute) | 1200000 |
US (Virginia)
Scope: Global
| Parameter | Value |
|---|---|
| RPM (Requests Per Minute) | 15000 |
| TPM (Tokens Per Minute) | 1200000 |
Japan (Tokyo)
Scope: Global
| Parameter | Value |
|---|---|
| RPM (Requests Per Minute) | 15000 |
| TPM (Tokens Per Minute) | 1200000 |
Hong Kong (China)
Scope: Global
| Parameter | Value |
|---|---|
| RPM (Requests Per Minute) | 15000 |
| TPM (Tokens Per Minute) | 1200000 |
Calling Methods
Set the model field to deepseek-v4.1-flash-1017 when calling the snapshot version. For calling instructions, see: