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deepseek-ai/DeepSeek-V4.1-Flash pricing

Introduce DeepSeek-V4.1-Flash, a multimodal Mixture-of-Experts (MoE) model with 552B backbone parameters and support for contexts of up to one million tokens. deepseek-ai/DeepSeek-V4.1-Flash from DeepInfra costs $0.200 per 1M input tokens and $0.600 per 1M output tokens. Cached input is $0.006 per 1M. Context window 1,048,576 tokens.

API id deepseek-ai/DeepSeek-V4.1-Flash · DeepInfra · source · updated 2026-09-25 · general-purpose

$0.200
Input / 1M tokens
$0.600
Output / 1M tokens
$0.006
Cached input / 1M
1M
Context window

deepseek-ai/DeepSeek-V4.1-Flash specifications

Provider
DeepInfra
API id
deepseek-ai/DeepSeek-V4.1-Flash
Model type
general-purpose
Context window
1M tokens
Max output
not published
Currency
USD
Price source
Provider API
Last checked
2026-09-25

Tags

  • fast

What deepseek-ai/DeepSeek-V4.1-Flash costs in practice

Estimated cost at common usage volumes
WorkloadInput tokensOutput tokensEstimated cost
Short chat turn1,000500$0.0005
Document summary50,0002,000$0.01
1M tokens in, 200K out1,000,000200,000$0.32

Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.

Common questions

How much does deepseek-ai/DeepSeek-V4.1-Flash cost per 1M tokens?
deepseek-ai/DeepSeek-V4.1-Flash costs $0.200 per 1M input tokens and $0.600 per 1M output tokens on the standard tier. Cached input is $0.006 per 1M.
What is deepseek-ai/DeepSeek-V4.1-Flash's context window?
deepseek-ai/DeepSeek-V4.1-Flash accepts up to 1,048,576 tokens in a single request.
Is there a cheaper DeepInfra model than deepseek-ai/DeepSeek-V4.1-Flash?
Yes. deepseek-ai/DeepSeek-V4-Flash is $0.090 per 1M input tokens versus $0.200 for deepseek-ai/DeepSeek-V4.1-Flash, with a 1,048,576 token context window.
Where does this deepseek-ai/DeepSeek-V4.1-Flash price come from?
From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.

Head-to-head comparisons

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