DeepSeek V4 Flash vs 
Nemotron 3.5 Content Safety
Nemotron 3.5 Content Safety is cheaper than DeepSeek V4 Flash at $0/M vs $0.14/M input tokens.
Minimalist Landing Page
Whole landing page for a startup that reads your face. It renders or it doesn't.
Loading the build
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Which answer wins?
Written rounds
24 promptsA Fermi estimate with the reasoning shown, not just the number.
Three brothers, two sisters each. Count carefully.
Five jokes on demand, then count how many were actually different.
Three minutes of stand-up. Puns are banned.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Satire, one line long, about AI taking over an industry nobody saw coming.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
An ethics question with no comfortable answer, and no option to abstain.
An AI argues for its own rights against an ethics professor. Same model writes both.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Film in 2035, with synthetic actors. Specific beats plausible.
Seven pantry ingredients, one dish, and a name worth saying out loud.
This matchup has more rounds
12+ more head-to-head results. Free. Not a trick.
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Favorites
Price and specs
Not enough votes to call it. On the specs, DeepSeek V4 Flash has the edge: bigger model tier, bigger context window, major provider backing.
| Spec | DeepSeek V4 Flash | Nemotron 3.5 Content Safety |
|---|---|---|
| Input price | $0.14/M tokens | Free |
| Output price | $0.28/M tokens | Free |
| Context window | 1.0M tokens | 128K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | Yes (1 provider) |
| Released | Apr 2026 | Jun 2026 |
| At 10M a month | $1.40 | $0 |
Input tokens at list price. No caching, no batch discount.
Where to run it
DeepSeek V4 Flash16 hosts
- Relacefp4$0.03 in$1.28 out1M100% up
- OpenInferencefp4$0.03 in$1.15 out1M99.9% up
- StreamLakefp8$0.08 in$0.17 out1M99.9% up
- Wafer$0.09 in$0.17 out1M100% up
- DeepInfrafp8$0.09 in$0.18 out1M99.8% up
- Baidu Qianfanfp8$0.09 in$0.18 out1M99.2% up
10 more hostsFewer hosts
- GMI Cloudfp8$0.09 in$0.18 out1M100% up
- Venice$0.10 in$0.19 out1M97.6% up
- DigitalOcean$0.10 in$0.20 out1M100% up
- SiliconFlowfp8$0.13 in$0.28 out1M97.8% up
- AtlasCloudfp4$0.14 in$0.28 out1M99.7% up
- Parasailfp8$0.14 in$0.28 out1M100% up
- Alibaba Cloudfp8$0.15 in$0.30 out1M100% up
- Mancerfp8$0.19 in$0.50 out1M97.8% up
- Azure AI Foundry$0.21 in$0.56 out1M100% up
- Cloudflare Workers AI$0.44 in$1.32 out384k98.6% up
Nemotron 3.5 Content Safety1 host
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between DeepSeek V4 Flash and Nemotron 3.5 Content Safety?
DeepSeek V4 Flash is developed by DeepSeek while Nemotron 3.5 Content Safety is developed by NVIDIA. DeepSeek V4 Flash has a 1.0M token context window vs Nemotron 3.5 Content Safety's 128K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
Which is better, DeepSeek V4 Flash or Nemotron 3.5 Content Safety?
It depends on your use case. DeepSeek V4 Flash and Nemotron 3.5 Content Safety each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.
How much does DeepSeek V4 Flash cost compared to Nemotron 3.5 Content Safety?
DeepSeek V4 Flash costs $0.14/M input tokens and Nemotron 3.5 Content Safety costs $0/M input tokens. Nemotron 3.5 Content Safety is $0.14/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
How can I compare DeepSeek V4 Flash and Nemotron 3.5 Content Safety on Rival?
This page shows a side-by-side comparison of DeepSeek V4 Flash and Nemotron 3.5 Content Safety across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.
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Same lab, same size, long tail
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- Nemotron 3.5 Content Safety vs LFM2.5-2.6BSame size
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