DeepSeekText

deepseek-v4-flash

deepseek-v4-flash is DeepSeek's model at $0.14 input and $0.28 output per million tokens, with a 1000K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.18 per million tokens, placing it in the budget band of the 68 models tracked here — cheaper than 82% of them.

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MODEL OVERVIEW

Context window1000K

Input price$0.14 / 1M

Output price$0.28 / 1M

Output speed180 tok/s

Quality score88

Data updatedUpdated Aug 2026

Price verified2026-08-06 · Official

Price noteCache-hit input is just $0.0028 / 1M tokens (~50× cheaper)

By price, deepseek-v4-flash ranks 12th cheapest of 68 on input and 9th on output. Its quality score of 88 ranks 29th of 68, and on value (quality score ÷ output price) it ranks 10th of 68. Its blended rate sits 94% below the catalog average.

In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $21 per month on deepseek-v4-flash, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $27. Because output is priced 2.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.

A 1000K context window holds roughly 1,333 pages of A4 text (at ~750 tokens per page), ranking 22nd of 68 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis. Output runs at about 180 tok/s (11th fastest of 68), fast enough for real-time interaction and high-throughput batches.

We track 3 DeepSeek models, and deepseek-v4-flash's blended rate sits 55% below that provider's average. If your task tolerates a little less headroom, Hunyuan HY3 (Tencent) blends about 43% cheaper at a quality score of 87, and is worth benchmarking first. Going the other way, qwen3.5 scores 91 on quality for about 36% less.

The closest model in DeepSeek's line-up is deepseek-chat-v4 ($0.26 input / $1.03 output, quality 88). Against it, deepseek-v4-flash runs 40 tok/s faster (about 29%), has a 869K larger context window, costs 157% less blended. When two models sit this close on price, the deciding factor is usually latency and throughput — run both against your real prompts before picking.

Estimated monthly cost

Monthly API spend across four common workloads, next to the cheapest model we track.

Workload	Usage assumption	This model	Cheapest model
Support chatbot	2,000 input / 500 output tokens per turn, 50,000 turns per month	$21	$3.00
RAG document Q&A	8,000 input / 800 output tokens per query, 20,000 queries per month	$27	$3.84
Coding assistant	12,000 input / 2,000 output tokens per request, 10,000 requests per month	$22	$3.20
Batch summarization	4,000 input / 400 output tokens per item, 200,000 items per month	$134	$19

Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.

How it compares

The alternatives worth benchmarking alongside it, from the same dataset.

Model	Provider	Blended /1M	Quality	Price delta
deepseek-v4-flash	DeepSeek	$0.18	88	—
Hunyuan HY3Cheaper option	Tencent	$0.10	87	-43%
qwen3.5Higher quality	Alibaba	$0.11	91	-36%
deepseek-chat-v4Same provider	DeepSeek	$0.45	88	+157%
qwen3.5-flashBest value overall	Alibaba	$0.055	82	-69%

Best for

ChatbotAffordableFastLong Context

Modalities

Text

Where it fits — and where it doesn't

Good fit

Chat and support: natural multi-turn conversation for user-facing products.
Long documents: a 1000K window ingests a full contract, paper or large codebase in one pass.
High throughput and real-time UX: 180 tok/s keeps streamed responses feeling instant.
High-volume, cost-sensitive batch work: low rates suit classification, tagging and summarization at scale.

Poor fit

Image understanding: this model is text-only, so vision tasks need a multimodal alternative.

Frequently asked questions

How much does the deepseek-v4-flash API cost?

deepseek-v4-flash costs $0.14 per million input tokens and $0.28 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.18 per million tokens.

What does deepseek-v4-flash cost per month?

It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $21/month, RAG document Q&A about $27/month, a coding assistant about $22/month, and batch summarization about $134/month. Plug your own token counts into the cost calculator for a tailored figure.

How large is the deepseek-v4-flash context window?

1000K tokens — roughly 1,333 pages of A4 text at ~750 tokens per page, ranking 22nd of the 68 models tracked here.

deepseek-v4-flash or Hunyuan HY3 — which is better value?

Hunyuan HY3 blends to about $0.10 per million tokens versus $0.18 for deepseek-v4-flash — roughly 43% cheaper — at a quality score of 87 against 88. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with deepseek-v4-flash. Benchmark both on your own data before deciding.

What is deepseek-v4-flash best suited for?

Tagged use cases: chatbot, cheap, fast, long-context. Chat and support: natural multi-turn conversation for user-facing products. Less suitable: Image understanding: this model is text-only, so vision tasks need a multimodal alternative.

How current is this deepseek-v4-flash pricing?

Pricing here was last verified on 2026-08-06 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against DeepSeek's official pricing page before you commit.