DeepSeek V4.1 Flash

Chat model by DeepSeek.

DeepSeek language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.

Models / DeepSeek V4.1 FlashID: dashscope/deepseek-v4.1-flash

Context window

Maximum input context length.

1M

tokens

Max output

Maximum completion tokens per request.

393K

tokens

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

1.0M

tokens
Max output

393K

tokens
Modality

chat

Vision
Function calling
System prompt

Benchmarks & performance rankings

Empirical intelligence benchmarks and category leaderboard placements for DeepSeek V4.1 Flash.

Core benchmark dimensionsSource: DeepSeek Technical Report & LMSYS
MMLUKnowledge

89.8%

HumanEvalCoding

93.2%

Latency p50TTFT

160ms

p99: 480ms

ThroughputStream

145tok/s

SWE-bench: 49.5%

Recommended by nRouter Smart Routing: High-throughput data extraction and bulk pipelines. Key operational strength: 110ms p50 latency with sustained 210 tokens/sec.

Pricing

Rates are read live

Pricing for deepseek-v4.1-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 V4.1 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-v4.1-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-v4.1-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-v4.1-flash
claude --model dashscope/deepseek-v4.1-flash

FAQs

What is DeepSeek V4.1 Flash?

DeepSeek language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.

How much does DeepSeek V4.1 Flash cost?

DeepSeek V4.1 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.

What is the context length of DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash supports a 1,000,000-token context window. It can generate up to 393,216 output tokens per request.

Does DeepSeek V4.1 Flash support tool calling and structured outputs?

Yes. DeepSeek V4.1 Flash supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.

What inputs and outputs does DeepSeek V4.1 Flash support?

DeepSeek V4.1 Flash takes text as input and returns text as output.

How do I use DeepSeek V4.1 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-v4.1-flash". The quick-start panel above has a copy-paste curl command for this model.

When was DeepSeek V4.1 Flash released?

DeepSeek V4.1 Flash was released on October 6, 2026.

Where is the DeepSeek V4.1 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).