DeepSeek 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... Built by DeepSeek.
Prices updated
Input price
$0.05
per 1M tokens · Standard
Output price
$1.20
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
944K
tokens
Input formats
Output formats
DeepSeek V4.1 Flash price history
4 price records since 9/25/2026 · 2 changes
DeepSeek V4.1 Flash cost calculator
$7.00/month
Standard pricing
Overview
What is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is a text & reasoning and vision model from DeepSeek. DeepSeek 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... Its 1M context window and $0.05 input price make it a candidate for cost-sensitive, high-throughput applications.
Benchmarks
DeepSeek V4.1 Flash benchmarks & speed
How DeepSeek V4.1 Flash scores on standardized evaluations, and where it lands among every model we track.
39.5
Intelligence Index
213tok/s
Output speed
1325
DesignArena Elo
Reasoning
HLE
39.2%
Humanity's Last Exam · top 23%
Coding
SciCode
51.9%
Python for scientific computing · top 40%
Latency & design
- Time to first token
- 1.05s
- DesignArena win rate
- 52.1%
- Design battles judged
- 39,579
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
DeepSeek V4.1 Flash pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.05
Per 1M tokens
Cached input · Standard
$0.02
Per 1M tokens
Capabilities
DeepSeek V4.1 Flash Tools
Tools available when using DeepSeek V4.1 Flash through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.05 per million tokens suits high-volume workloads.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 24× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
