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deepseek-v4.1-flash-1017

DeepSeek/Open weights/4 providers

DeepSeek V4.1 Flash 1017 is the October 2026 refresh of DeepSeek V4.1 Flash, a 552B parameter Mixture of Experts model with native vision. 1M token context window, 64K max output, thinking and non thinking modes, tool calling, structured JSON output and prompt caching. Served in the EU via TensorX on NVIDIA B300s at $0.50 input, $0.13 cache read and $1.50 output per 1M tokens, with zero data retention and no training on user data. Open weights on Hugging Face.More

Which id to call

deepseek-v4.1-flash-1017

Requesty routes this id across every provider serving deepseek-v4.1-flash-1017, picking on price and health and failing over automatically. The id stays valid when a provider changes underneath it.

From /1M input

$0.10

$0.20 list

DeepInfra

Context

1.0M

393K output

Endpoints

4

2 regions

Price spread

5.1x

4 endpoints

Capabilities 6/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

4 endpoints / 2 regions

Providers serving deepseek-v4.1-flash-1017

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

Providers serving deepseek-v4.1-flash-1017, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1DeepInfra51% offGlobal1.0M$0.20$0.10$0.60$0.29$0.0029zdr
2DeepSeekGlobal1M$0.30$1.20$0.0060no-train
3sferenceEU1.0M$0.50$1.50$0.05zdr
4TensorXEU1.0M$0.50$1.50$0.13zdr

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-1017

Requesty routes this id across every provider serving deepseek-v4.1-flash-1017, 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-1017", 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.

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More from DeepSeek

Reference

deepseek-v4.1-flash-1017 questions

Which providers serve deepseek-v4.1-flash-1017?

deepseek-v4.1-flash-1017 is available from 4 providers through Requesty: DeepInfra, DeepSeek, sference, TensorX. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does deepseek-v4.1-flash-1017 cost?

Pricing starts at $0.10 per million input tokens and $0.29 per million output tokens on DeepInfra, 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-1017 open weights?

Yes. deepseek-v4.1-flash-1017 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-1017?

deepseek-v4.1-flash-1017 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.

How do I use deepseek-v4.1-flash-1017 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-1017" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Should I call deepseek-v4.1-flash-1017 by its managed id or a provider id?

Use the managed id, "deepseek-v4.1-flash-1017". Requesty picks which of the 4 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-1017@eu", which routes the same way but only through EU-hosted providers. Send a provider id like "deepinfra/deepseek-v4.1-flash-1017" only when you need one specific deployment and want no failover.

Route deepseek-v4.1-flash-1017 through one endpoint

One key for 4 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.

Benchmark rankings