DeepSeek V4 Flash

Chat model by DeepSeek.

DeepSeek-V4-Flash is a high-efficiency Mixture-of-Experts model with 284B total and 13B activated parameters supporting up to a 1M-token context window. Optimized for low latency, it features hybrid sparse attention and dual-mode reasoning capabilities.

Models / DeepSeek V4 FlashID: dashscope/deepseek-v4-flash

Maker

DeepSeek

Served On: Alibaba US

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

—

Max output

—

Modality

chat

Vision
Function calling
System prompt

Benchmarks

LMSYS Chatbot Arena (text)Rank #92 · Score 1432
Source: huggingface.co · Leaderboard: 2026-10-152026-10-15

Pricing

Rates are read live

Pricing for deepseek-v4-flash is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How DeepSeek V4 Flash is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from DeepSeek

Start building with deepseek-v4-flash

One API key, three steps. Choose your tool to begin.

  1. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"
  2. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · dashscope/deepseek-v4-flash
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with dashscope/deepseek-v4-flash
claude --model dashscope/deepseek-v4-flash

FAQs

What is DeepSeek V4 Flash?

DeepSeek-V4-Flash is a high-efficiency Mixture-of-Experts model with 284B total and 13B activated parameters supporting up to a 1M-token context window. Optimized for low latency, it features hybrid sparse attention and dual-mode reasoning capabilities.

How much does DeepSeek V4 Flash cost?

DeepSeek V4 Flash is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

Does DeepSeek V4 Flash support tool calling and structured outputs?

Yes. DeepSeek V4 Flash supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.

What inputs and outputs does DeepSeek V4 Flash support?

DeepSeek V4 Flash takes text as input and returns text as output.

How do I use DeepSeek V4 Flash via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "dashscope/deepseek-v4-flash". The quick-start panel above has a copy-paste curl command for this model.

When was DeepSeek V4 Flash released?

DeepSeek V4 Flash was released on April 22, 2026.

Where is the DeepSeek V4 Flash documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does DeepSeek have?

Other DeepSeek text models on nRouter include DeepSeek V4.1 Flash (nrouter.ai/models/deepseek-ai-deepseek-v4.1-flash), DeepSeek V4 Flash Vision Exp (nrouter.ai/models/deepseek-ai-deepseek-v4-flash-vision-exp), DeepSeek V4 Pro (nrouter.ai/models/deepseek-v4-pro), DeepSeek V4 Flash (nrouter.ai/models/deepseek-ai-deepseek-v4-flash).