Research $0.30/$1.20 per 1M tokens (peak); 50% off-peak Editor's pick

DeepSeek V4.1-Flash

Efficient multimodal MoE model with 552B total params, 1M context, native vision, and low-cost API access for reasoning and agents.

Updated 2026-09-11

9.2

AI Score / 10

DeepSeek V4.1-Flash 9.2/10 Visit

Quick answer

No free tier is documented for DeepSeek V4.1-Flash.

Listed pricing: $0.30/$1.20 per 1M tokens (peak); 50% off-peak.

Pricing not re-verified Is it free? Pricing Is it worth it?

Overview

DeepSeek V4.1-Flash is a multimodal mixture-of-experts model that activates 8B or 16B parameters out of 552B total, delivering strong reasoning and agent performance at reduced cost. It supports a native 1M-token context window and includes built-in vision capabilities without requiring separate encoders.

The model targets developers building long-context agents, research pipelines, and cost-sensitive production workloads. It replaces the prior V4-Pro tier with new peak and off-peak rates plus aggressive cache-hit pricing that drops to roughly $0.006 per million tokens.

Released on September 10 2026, V4.1-Flash has been positioned as a direct efficiency upgrade over earlier DeepSeek releases and several flagship models on public benchmarks, with early coverage on TechNode and models.dev.

Is DeepSeek V4.1-Flash free?

No free tier is documented for DeepSeek V4.1-Flash.

Listed pricing: $0.30/$1.20 per 1M tokens (peak); 50% off-peak.

No figure is estimated here for what is not published. Check DeepSeek V4.1-Flash's own site for the current terms.

Pricing on this page has not been re-verified. The entry was last edited on 2026-09-11, and no separate pricing check has been run since. Treat the figures as a record of what was published then and confirm on the official site.

DeepSeek V4.1-Flash pricing

Plan	Price	What's included
API usage	$0.30 / $1.20 per 1M tokens (peak)	Input/output pricing; 50% off-peak discount; cache-hit rate ~$0.006

API usage $0.30 / $1.20 per 1M tokens (peak)

Input/output pricing; 50% off-peak discount; cache-hit rate ~$0.006

Is DeepSeek V4.1-Flash worth it?

There is no free tier to test it on, so the plans above are the entry cost. The recorded trade-offs are listed below, and any one of them can settle the question on its own.

The 9.2/10 AI Score is an editorial read of published capability, price and shipping pace. Nobody here has hands-on hours with DeepSeek V4.1-Flash. How we verify.

Worth it if

The strengths recorded against this entry.

1M context at competitive cost
Native vision without extra fees
Aggressive cache-hit pricing
Strong benchmark parity with larger flagships

Not worth it if

Any one of these blocks your use case.

API-only access, no local weights
New model with limited third-party tooling
Off-peak windows require scheduling

Key features

1M context window

Processes up to one million tokens in a single call, enabling full-document or multi-turn agent sessions without chunking.

Native multimodal input

Accepts images alongside text natively, removing the need for separate vision adapters in research or agent workflows.

MoE architecture

Activates only 8B–16B parameters per token while maintaining 552B total capacity, delivering high throughput at lower inference cost.

Tiered API pricing

Peak rates of $0.30 input / $1.20 output per million tokens, halved off-peak, with cache hits near $0.006.

How it compares

Tool	Best for	Pricing	Score
DeepSeek V4.1-Flash	—	$0.30/$1.20 per 1M tokens (peak); 50% off-peak	9.2/10
Perplexity AI	Knowledge workers and researchers who want cited, synthesized answers instead of a list of links to click through.	Freemium	9.4/10
Gemini 3.8 Flash	—	$0.75 per million input tokens, $3.75 per million output tokens	9.2/10
NotebookLM	Students, researchers, and professionals who need answers grounded strictly in the specific documents they upload.	Free	9.1/10