deepseek-v4.1-flash

Name: deepseek-v4.1-flash
Brand: DeepSeek
SKU: deepseek/deepseek-v4.1-flash
Price: 0.1500 USD
Availability: InStock

DeepSeek/Open weights/11 providers

DeepSeek V4.1 Flash is a 552B parameter Mixture of Experts model built on a new Causal Encoder Decoder architecture that activates only 8B parameters for input and 16B for output, giving frontier level intelligence at a fraction of the cost. It is the smallest model in the new DeepSeek architecture family and the first Flash with native vision and multimodal understanding. V4.1 Flash beats DeepSeek V4 Pro on performance, cost, speed and task completion time and scores 88.1 on CyberGym. Its KV cache is compressed to 890 bytes per token, four times smaller than V4 Flash and over 400 times smaller than V1, cutting the cache hit costs that dominate agent workloads. 1M token context window, 384K max output, thinking and non thinking modes, tool calling, JSON output and prompt caching. Pricing per 1M tokens starts at $0.003 for cache hits, $0.15 input and $0.60 output off peak, with peak rates at double (01:00 to 04:00 and 06:00 to 10:00 UTC, Monday to Friday). Open weights are published on Hugging Face. Ideal for coding agents, long context RAG, high throughput batch processing and multimodal assistants. Replaces deepseek-v4-flash and deepseek-v4-flash-vision-exp, both still accepted as aliases.More

Compare 12 endpoints All models →

Which id to call

deepseek-v4.1-flash

Requesty routes this id across every provider serving deepseek-v4.1-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$0.15

Runware

Context

1.0M

393K output

Best first token

567ms

sference

Price spread

3.3x

12 endpoints

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

168/s↑ 93/s

Week of Oct 19, latest, median of 12 providerslog axis

Median tokens per second once generation starts, measured on traffic routed through Requesty through Oct 25. Hover a week to read it.more

The axis is logarithmic, because the lines here are more than 12x apart and a linear axis would press most of them flat. Each gridline is a step in ratio rather than a fixed amount. The axis is set by the bulk of the weeks, not by the extremes, so one weekly point sits off the frame and is marked with a caret at the edge: hover one for its figure. Stretching the axis to reach them would flatten every line worth comparing. Each provider line is that provider's own median across every model it serves, which is the grain published per provider, so a provider line can cover weeks this model was not called in yet. The exact per-provider figures for this model are ranked below.

12 endpoints / 2 regions

Providers serving deepseek-v4.1-flash

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.more

The two panes rank deepseek-v4.1-flash as measured on Requesty traffic: by the provider that served it, and by the region the request came from, where the share is how much of that region's traffic this model carries. Whole-window figures, because that is the grain Requesty publishes per provider and per region.

By provider

highest first

TensorXbest288/sEU

Lyceum266/sEU

sference246/sEU

Together AI136/sGlobal

DeepSeek117/sGlobal

Novita AI94/sGlobal

Runware75/sGlobal

Doubleword72/s

Melious65/sEU

Fireworks AI59/sGlobal

DeepInfra57/s2 endpoints

Tencent24/sGlobal

Median tokens per second once generation starts. Bar length is the value, so the longest bar wins.more

Whole-window figures as published, not an average of weekly points. The axis stops at 207/s: 3 rows run past it and is notched there, because stretching the axis to the outlier flattens every other bar. The figure beside each bar is exact either way.

By traffic region

highest first

Europebest161/s16.0% share

United States142/s9.4% share

Asia Pacific89/s19.6% share

Median tokens per second once generation starts. Bar length is the value, so the longest bar wins.more

Whole-window figures as published, not an average of weekly points.

Providers serving deepseek-v4.1-flash, with pricing and measured performance. The best value in each column is highlighted.
Rank										Privacy
1	Runware	Global	1.0M	$0.15	$0.60	$0.01	1.67s	75.0	99.9%	zdr
2	DeepInfra	Global	1.0M	$0.16	$0.48	$0.0048	1.53s	57.0	-	zdr
3	DeepInfra	Global	1.0M	$0.20	$0.60	$0.0060	1.53s	57.0	-	zdr
4	Fireworks AI	Global	1.0M	$0.22	$0.66	$0.0070	1.30s	59.0	-	zdr
5	Melious	EU	1M	$0.23	$1.14	$0.02	782ms	65.0	-	zdr
6	DeepSeek	Global	1M	$0.30	$1.20	$0.0060	1.15s	117.0	-	no-train
7	Novita AI	Global	1.0M	$0.30	$1.20	$0.0060	2.92s	94.0	-	zdr
8	Tencent	Global	1.0M	$0.30	$1.20	$0.0060	1.78s	24.0	-	no-train
9	Together AI	Global	1.0M	$0.30	$1.20	$0.01	1.97s	136.0	-	zdr
10	Lyceum	EU	1.0M	$0.50	$1.50	$0.13	1.63s	266.0	78.1%	zdr
11	sference	EU	1.0M	$0.50	$1.50	$0.05	567ms	246.0	96.7%	zdr
12	TensorX	EU	1.0M	$0.50	$1.50	$0.13	2.11s	288.0	97.0%	zdr

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

deepseek-v4.1-flash

Requesty routes this id across every provider serving deepseek-v4.1-flash, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="deepseek-v4.1-flash",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

Intelligence Indexreasoning

39.5%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

More from DeepSeek

deepseek-v4.1-flash-1017

1.0M ctx/from $0.10/8 providers

deepseek-v4-flash-vision-exp

1.0M ctx/from $0.22/1 provider

deepseek-v4-pro-0813

1.0M ctx/from $1.30/5 providers

deepseek-v4-flash-0731

1.0M ctx/from $0.07/10 providers

deepseek-v4-pro-0424

1.0M ctx/from $1.04/4 providers

deepseek-v4-flash-0424

1.0M ctx/from $0.07/4 providers

Reference

deepseek-v4.1-flash questions

Which providers serve deepseek-v4.1-flash?

deepseek-v4.1-flash is available from 11 providers through Requesty: Runware, DeepInfra, Fireworks AI, Melious, DeepSeek, Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does deepseek-v4.1-flash cost?

Pricing starts at $0.15 per million input tokens and $0.60 per million output tokens on Runware, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is deepseek-v4.1-flash open weights?

Yes. deepseek-v4.1-flash is an open-weights model from DeepSeek, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.

What is the context window of deepseek-v4.1-flash?

deepseek-v4.1-flash supports up to 1.0M tokens of context, with up to 393K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

Which provider is fastest for deepseek-v4.1-flash?

In recent production traffic through Requesty, sference had the lowest median time to first token (567ms) for deepseek-v4.1-flash. Latency shifts over time, so Requesty's latency-based routing picks the fastest healthy provider per request automatically.

How do I use deepseek-v4.1-flash with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepseek-v4.1-flash" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call deepseek-v4.1-flash by its managed id or a provider id?

Use the managed id, "deepseek-v4.1-flash". Requesty picks which of the 11 providers serves each request based on price and health, and fails over when one degrades, so the id keeps working while the routing changes underneath it. There is also an EU-only id, "deepseek-v4.1-flash@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "runware/deepseek-v4.1-flash" only when you need one specific deployment and want no failover.

Route deepseek-v4.1-flash through one endpoint

One key for 11 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings