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Venice: Uncensored vs DeepSeek V4.1 Flash 1017

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

DeepSeek V4.1 Flash 1017 is the cheaper of the two; neither can be ranked on quality here.

Venice: Uncensored does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

cognitivecomputations

Venice: Uncensored

Blended / 1M
$0.375
Context
128K
Released
Jul 9, 2025
Overall score
Not evaluated

deepseek

DeepSeek V4.1 Flash 1017

Blended / 1M
$0.262
Context
1.0M
Released
Oct 17, 2026
Overall score
72.9
reasoningtool callingimage inputprompt caching

Specs and pricing

MetricVenice: UncensoredDeepSeek V4.1 Flash 1017
LiveBench overall

Weighted mean of the seven LiveBench category scores, 0–100. Higher is better.

—72.9
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

—$0.0018
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

$0.375$0.262win
Input price / 1M$0.200$0.150win
Output price / 1M$0.900$0.600win
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

—$0.0030
Context window128K1.0Mwin
Max output tokens8K393Kwin

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Venice: Uncensored on top, DeepSeek V4.1 Flash 1017 below, both out of 100.

Long-horizon agentic
—
35.7
Coding
—
96.0
Reasoning
—
89.1
Browser
—
67.2
Data analysis
—
79.5
Research
—
79.5
Documents & design
—
83.4

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadVenice: UncensoredDeepSeek V4.1 Flash 1017
Support chatbot

1.2K in / 400 out × 200K requests

$120.00/mo$73.42/mo
RAG assistant

8K in / 600 out × 100K requests

$214.00/mo$97.20/mo
Coding agent

40K in / 4K out × 20K requests

$232.00/mo$85.68/mo
Document extraction

20K in / 1.5K out × 50K requests

$267.50/mo$187.65/mo
Bulk classification

500 in / 20 out × 5M requests

$590.00/mo$361.50/mo
Run these two through the cost calculator

Which should you pick?

You need to fit large documents in one call

DeepSeek V4.1 Flash 1017

Wider context window — 1.0M against 128K.

Venice: Uncensored vs DeepSeek V4.1 Flash 1017 FAQ

Which is better, Venice: Uncensored or DeepSeek V4.1 Flash 1017?

DeepSeek V4.1 Flash 1017 is the cheaper of the two; neither can be ranked on quality here. Venice: Uncensored does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

Is Venice: Uncensored cheaper than DeepSeek V4.1 Flash 1017?

DeepSeek V4.1 Flash 1017 is cheaper. On a 3:1 input:output blend, Venice: Uncensored lists at $0.375 per million tokens and DeepSeek V4.1 Flash 1017 at $0.262 — DeepSeek V4.1 Flash 1017 is 43% cheaper. Input and output are priced separately — Venice: Uncensored charges $0.200 in and $0.900 out, DeepSeek V4.1 Flash 1017 charges $0.150 and $0.600 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Does Venice: Uncensored or DeepSeek V4.1 Flash 1017 have a bigger context window?

DeepSeek V4.1 Flash 1017 has the larger context window: 128K for Venice: Uncensored against 1.0M for DeepSeek V4.1 Flash 1017. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.

Do Venice: Uncensored and DeepSeek V4.1 Flash 1017 support prompt caching?

DeepSeek V4.1 Flash 1017 publishes a cached-input rate of $0.0030 per million tokens against a full input rate of $0.150. The catalogue lists no separate cached rate for Venice: Uncensored, which means the provider does not price it separately here — not that caching is unavailable.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores — LiveBench release 2026-10-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.