DeepSeek-V4.1-Flash
Specs & Pricing
API pricing per 1M tokens and core technical specificationsCost Calculator
Simulate estimated API usage cost based on your specific traffic and context sizeSimulation Results
Calculation Details
Alternative Models
Models with comparable benchmark score and pricing tier| Model | Provider | Context Window | Max Output | Training Cutoff | Input / 1M | Cache Price / 1M | Output / 1M | Benchmark | Speed | Total |
|---|---|---|---|---|---|---|---|---|---|---|
OpenAI👑 | 1M | 128K | 2026-02 | $0.20 | $0.02 | $1.20 | 88 | Blazing Fast | $0.0060 | |
xAI | 256K | - | - | $0.20 | $0.02 | $1.50 | 77.75 | Fast | $0.0067 | |
OpenAI👑 | 400K | 128K | 2025-08 | $0.20 | $0.02 | $1.25 | 77.5 | Blazing Fast | $0.0059 | |
Google👑 | 1M | 65K | 2025-01 | $0.25 | $0.025 | $1.50 | 74.25 | Blazing Fast | $0.0085 | |
OpenAI | 1M | 32K | 2024-06 | $0.40 | $0.10 | $1.60 | 68.75 | Fast | $0.0097 |
Provider
Benchmark
88Speed
Blazing Fast
Training Cutoff
2026-02
Context Window
1M
Max Output
128K
Input / 1M
$0.20
Cache Price / 1M
$0.02
Output / 1M
$1.20
Provider
Benchmark
77.75Speed
Fast
Training Cutoff
-
Context Window
256K
Max Output
-
Input / 1M
$0.20
Cache Price / 1M
$0.02
Output / 1M
$1.50
Provider
Benchmark
77.5Speed
Blazing Fast
Training Cutoff
2025-08
Context Window
400K
Max Output
128K
Input / 1M
$0.20
Cache Price / 1M
$0.02
Output / 1M
$1.25
Provider
Benchmark
74.25Speed
Blazing Fast
Training Cutoff
2025-01
Context Window
1M
Max Output
65K
Input / 1M
$0.25
Cache Price / 1M
$0.025
Output / 1M
$1.50
Provider
Benchmark
68.75Speed
Fast
Training Cutoff
2024-06
Context Window
1M
Max Output
32K
Input / 1M
$0.40
Cache Price / 1M
$0.10
Output / 1M
$1.60
All AI Models Pricing & Cost Simulator
Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.
DeepSeek-V4.1-Flash Frequently Asked Questions (FAQ)
Key insights into DeepSeek-V4.1-Flash API pricing, context capacity, caching savings, and performance benchmarks
Q. What is the API pricing for DeepSeek-V4.1-Flash? How much does it cost per 1M tokens?＋
DeepSeek-V4.1-Flash (DeepSeek) is priced at $0.3000 per 1 million input tokens and $1.2000 per 1 million output tokens. The output rate is approximately 4.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.
Q. How does off-peak pricing work for DeepSeek-V4.1-Flash?＋
DeepSeek-V4.1-Flash offers discounted off-peak pricing during designated off-peak windows (平日 00:30-08:30 (UTC+8) & 土日終日). During off-peak hours, API rates are $0.1500/1M input (vs standard $0.3000) and $0.6000/1M output (vs standard $1.2000), with cached input at $0.0030/1M. Scheduling batch jobs and async processing during these hours yields significant cost savings.
Q. What are the context window and maximum output limits of DeepSeek-V4.1-Flash?＋
DeepSeek-V4.1-Flash features a 1M context window and a maximum output limit of 384K tokens per request. This massive 1M+ context capacity allows you to process extensive document libraries or entire codebases in a single prompt.
Q. Does DeepSeek-V4.1-Flash support Prompt Caching, and how much cost can be saved?＋
Yes, DeepSeek-V4.1-Flash supports prompt caching. Cached reads cost $0.0060 per 1M tokens, delivering an estimated 98% discount compared to standard input rates. (Minimum cache threshold: 64) Caching reusable system instructions and documentation substantially lowers recurring API expenses.
Q. What is the benchmark score (86.5) and performance profile of DeepSeek-V4.1-Flash?＋
DeepSeek-V4.1-Flash achieves an overall benchmark score of 86.5/100 with a "Blazing Fast" speed rating. It strikes an optimal tradeoff between high analytical capability, speed, and affordability.
Q. Which alternative models are comparable to DeepSeek-V4.1-Flash?＋
Key alternatives in similar price-to-performance tiers include GPT-5.6 Luna, grok-code-fast-1, GPT-5.4 nano. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.