Best for long context
Large context window for documents and transcripts.
Model · DeepSeek
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is served by DeepSeek through OpenRouter. It provides 1.05M tokens of context and supports text, vision inputs.
Context window
1.05M tokens
Input / 1M tokens
$0.300
Output / 1M tokens
$1.20
Key facts
| Provider | DeepSeek |
| OpenRouter ID | deepseek/deepseek-v4.1-flash |
| Modalities | Text, Vision |
| Best for | Budget, Long Context, Multimodal |
Source
openrouter.ai/api/v1/models Verified 2026-10-10 Drift-checked daily 06:00 CST Best-fit workloads
Best for budget
Low input/output cost for high-volume workloads.
Best multimodal
Handles images, files, audio or video inputs.
Cost estimates
These examples use the 2026-10-10 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.
| Workload | Input | Output | Estimated cost |
|---|---|---|---|
| Quick test | 20,000 | 5,000 | $0.012 |
| Product chat month | 500,000 | 125,000 | $0.300 |
| Document batch | 5,000,000 | 1,000,000 | $2.70 |
Strengths
- ✓ 1,048,576-token window with a 943,718-token output ceiling at $0.30 / $1.20 per million
- ✓ First DeepSeek on the company's Causal Encoder-Decoder architecture, activating 8B parameters on input and 16B on output
- ✓ Cached reads at $0.006 per million — the cheapest cache price recorded anywhere in this hub
Limitations
- ! Text output only
- ! A Flash tier: DeepSeek's Pro row sits above it in this hub
- ! The architecture description is the vendor's own and we have published no measurement of it
OpenRouter API quickstart
Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.
cURL
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-v4.1-flash",
"messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
"max_tokens": 500
}'JavaScript / TypeScript
const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "deepseek/deepseek-v4.1-flash",
messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
max_tokens: 500,
}),
});
const data = await response.json();
console.log(data.choices[0].message.content);How to evaluate DeepSeek V4.1 Flash
- Run five real tasks from your product, not generic demo prompts.
- Record token usage, latency and output quality.
- Estimate cost using your real input/output mix.
- Compare it against one model with a similar price and one stronger model.
Compare models View on OpenRouter ↗
DeepSeek V4.1 Flash FAQ
What is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is a DeepSeek model available through OpenRouter. It supports text, vision inputs and is suited for budget, long context, multimodal workloads.
How much does DeepSeek V4.1 Flash cost on OpenRouter?
The 2026-10-10 snapshot lists $0.300 per 1M input tokens and $1.20 per 1M output tokens. Verify current pricing on OpenRouter before production.
How large is DeepSeek V4.1 Flash's context window?
DeepSeek V4.1 Flash offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.
Head-to-head comparisons
DeepSeek V4.1 Flash vs Xiaomi MiMo-V2.6-Flash
Read-heavy and mixed media: MiMo wins on price and on what it can look at. Write-heavy, where the model has to produce something enormous — 900K tokens of output is not a typo — DeepSeek's ceiling is the whole reason to pick it, and no amount of cheap input substitutes for that.
Pricing and context data are based on a 2026-10-10 snapshot. Provider limits can change; always verify on OpenRouter before production.