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deepseek-v4.1-flash-1017sference

in /1M$0.50input tokens
out /1M$1.50output tokens
context1.0M393K out
median ttft519msmeasured
api
chat
hosting
EU
model lab
DeepSeek
weights
open
added
October 2026
model id
sference/deepseek-v4.1-flash-1017

capabilities 5/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

8 providers serve deepseek-v4.1-flash-1017. This page is one of them. Compare all endpoints

pricing

no markup
input
$0.50
output
$1.50
cache write
-
cache read
$0.05

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0650
1M in + 100K out$0.65
10M in + 1M out$6.50

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Nov 2
median ttft
519ms
median tok/s
239.0
blended /1M
$0.18
cache hit
75.3%

Weekly aggregates from production traffic routed through Requesty to this endpoint. A metric with no qualifying sample is left out rather than filled in. Compare against the other providers

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
SciCode55.9
Humanity's Last Exam43.3
Intelligence Index32.5
3 evalsmean43.9

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-10-17.

policy

data terms
retention
none
trains on prompts
no
hosted in
EU

Terms are the provider's, not Requesty's: routing a request here puts it under them. sference Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
sference/deepseek-v4.1-flash-1017

this id pins the sference deployment, with no routing and no failover. the managed id on the canonical page routes across all 8 providers instead

main.py
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="sference/deepseek-v4.1-flash-1017",    messages=[        {"role": "user", "content": "Explain quantum computing in one paragraph."},    ],) print(response.choices[0].message.content)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

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, 384K max output, thinking and non thinking modes, tool calling, structured JSON output and prompt caching. Served in the EU via Sference at $0.50 input, $0.05 cache read and $1.50 output per 1M tokens, with no data retention and no training on user data. Open weights on Hugging Face.

questions 6

How much does deepseek-v4.1-flash-1017 cost?
deepseek-v4.1-flash-1017 is priced at $0.50 per million input tokens and $1.50 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of deepseek-v4.1-flash-1017?
deepseek-v4.1-flash-1017 has a context window of 1.0M tokens, with a maximum output of 393K tokens per response. That is roughly 1,398 words of input you can fit in a single prompt.
How does deepseek-v4.1-flash-1017 perform on benchmarks?
deepseek-v4.1-flash-1017 scores 55.9% on SciCode, 43.3% on Humanity's Last Exam, 32.5% on Intelligence Index. The benchmarks pane shows every published result, each normalised to 100.
What can deepseek-v4.1-flash-1017 do?
deepseek-v4.1-flash-1017 supports vision input, tool calling, extended reasoning, prompt caching, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
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 "sference/deepseek-v4.1-flash-1017". The quickstart pane shows Python, JavaScript and cURL snippets.
Can I run deepseek-v4.1-flash-1017 through Requesty?
Yes. deepseek-v4.1-flash-1017 runs through Requesty's OpenAI-compatible API, served from sference. You do not host the model yourself: point base_url at Requesty, set the model to "sference/deepseek-v4.1-flash-1017", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover when a provider degrades, and prompt caching built in. Methodology

deepseek-v4.1-flash-1017sferencein $0.50 /1Mout $1.50 /1Mctx 1.0Mttft 519mshosted EU8 providers serve this model