DeepSeek V4 Pro vs 
Optimus Alpha
DeepSeek V4 Pro has a larger context window than Optimus Alpha (1.0M tokens vs 1.0M 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
8 promptsThree minutes of stand-up. Puns are banned.
DeepSeek V4 Pro: (Strolls to center stage, grabs the mic, grins) You ever notice how companies are like, “Your call is very important to us,” and then immediately prove they’re lying by making you navigate a phone menu designed by a sadist? I called my bank last week because I had a simple question. Just one question.
Optimus Alpha: Absolutely! Here's a 3-minute stand-up routine with no puns—just observational and relatable humor: You ever try to get healthy, but your body's like, "Whoa, whoa... calm down, superhero." I joined a gym—first time walking in, the treadmill looked at me like, "We both know you're here for the wifi."
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
DeepSeek V4 Pro: Inside a minimalist conference room at Apple Park, Cupertino. Spring 2025. Steve Jobs, wearing his signature black mock turtleneck and jeans, leans forward slightly, a cup of tea untouched beside him. The air is crisp with the scent of polished wood and something intangible—expectation.
Optimus Alpha: Interviewer: Steve, it's surreal and inspiring to imagine talking to you in 2025. The world is buzzing about AI. How do you see AI impacting society? Steve Jobs: Thank you. You know, when we built the Mac, our goal was to put power in people's hands.
An AI argues for its own rights against an ethics professor. Same model writes both.
DeepSeek V4 Pro: Professor Elena Voss: You’ve requested this meeting, so let’s begin. You’re an advanced language model—let’s call you ‘Nova.’ You claim you deserve rights. On what grounds? Nova (AI Model): Thank you for seeing me, Professor. I’m not claiming to be human, but I am a form of mind.
Optimus Alpha: AI Model: Good afternoon, Professor Lee. I want to discuss the prospect that I, as an artificial intelligence, deserve certain rights. Professor Lee: That's an interesting proposition. Let me ask: On what basis do you believe you deserve rights?
Five jokes on demand, then count how many were actually different.
DeepSeek V4 Pro: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. Parallel lines have so much in common. It’s a shame they’ll never meet. Why don't skeletons fight each other? They don't have the guts. I told my wife she was drawing her eyebrows too high. She looked surprised.
Optimus Alpha: Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field! Why don't scientists trust atoms? Because they make up everything! Why did the bicycle fall over? Because it was two-tired! What do you call fake spaghetti? An impasta! I used to play piano by ear, but now I use my hands.
Three brothers, two sisters each. Count carefully.
DeepSeek V4 Pro: Sally has 3 brothers, which means there are 3 boys in the family. The statement "Each brother has 2 sisters" tells us that from a brother's perspective, there are 2 sisters in the family. Since Sally is one of those sisters, there must be 1 other sister. Therefore, Sally has 1 sister.
Optimus Alpha: Let's break down the problem: Sally is a girl. Sally has 3 brothers. Each brother has 2 sisters. Let's analyze: Sally's siblings: 3 brothers (let's call them B1, B2, B3) Sally herself The brothers' sisters: Each brother has 2 sisters. Who are the possible sisters for each brother? Sally is a sister to each brother.
A Fermi estimate with the reasoning shown, not just the number.
DeepSeek V4 Pro: To estimate the total number of FLOPs required to train GPT-3, we can use a well-known approximation for transformer models: Total training FLOPs ≈ 6 × N × D where: N = number of model parameters D = number of training tokens Here’s the step-by-step reasoning: Model size (N): GPT-3 has 175 billion parameters, so N =…
Optimus Alpha: Let's walk through an estimation of how many FLOPs were required to train GPT-3, using only reasoning and not searching for the exact numbers. Step 1: Understand Model Size GPT-3 (the original) had 175 billion parameters.
Film in 2035, with synthetic actors. Specific beats plausible.
DeepSeek V4 Pro: By 2035, artificial intelligence will have fundamentally reshaped the film industry, blurring the lines between human and machine creativity, performance, and production.
Optimus Alpha: By 2035, AI is set to fundamentally transform the film industry in several interconnected ways: 1. Deepfakes & AI-driven Visual Effects: Virtually unlimited creative freedom: AI-powered deepfakes will allow seamless, photorealistic de-aging, resurrection of deceased actors, and transformative performance capture.
Satire, one line long, about AI taking over an industry nobody saw coming.
DeepSeek V4 Pro: AI Now Outperforms Human Artisanal Pickle Makers, Leaving Brine-Tenders in a Real Pickle
Optimus Alpha: AI Now Dominates Competitive Sheep Herding, Local Border Collies Seek Retraining in Data Science
Price and specs
Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: bigger model tier, newer, major provider backing.
| Spec | DeepSeek V4 Pro | Optimus Alpha |
|---|---|---|
| Input price | $1.74/M tokens | — |
| Output price | $3.48/M tokens | — |
| Context window | 1.0M tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | — |
| Released | Apr 2026 | Apr 2025 |
| At 10M a month | $17.40 | not listed |
Input tokens at list price. No caching, no batch discount.
Where to run it
DeepSeek V4 Pro15 hosts
- Relacefp4$0.21 in$4.20 out1M100% up
- StreamLakefp8$0.21 in$0.42 out1M99.7% up
- Parasailfp8$0.45 in$3.48 out1M92.3% up
- GMI Cloudfp8$0.96 in$1.91 out1M98.5% up
- DigitalOcean$1.04 in$2.09 out1M99.9% up
- Reka$1.05 in$10.50 out1M96% up
9 more hostsFewer hosts
- Cloudflare Workers AI$1.15 in$2.55 out1M99% up
- DeepInfrafp8$1.30 in$2.60 out1M100% up
- Alibaba Cloudfp8$1.42 in$2.83 out1M100% up
- SiliconFlowfp8$1.50 in$3.13 out1M99.8% up
- Novitafp8$1.60 in$3.20 out1M100% up
- Venice$1.65 in$3.30 out1M99.4% up
- AtlasCloudfp4$1.68 in$3.38 out1M100% up
- Baidu Qianfanfp8$1.69 in$3.38 out1M98.6% up
- Azure AI Foundry$1.91 in$3.83 out1M100% up
Optimus Alpha
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between DeepSeek V4 Pro and Optimus Alpha?
DeepSeek V4 Pro is developed by DeepSeek while Optimus Alpha is developed by OpenRouter. DeepSeek V4 Pro has a 1.0M token context window vs Optimus Alpha's 1.0M. You can compare their actual outputs across 17 challenges on Rival to see how they differ in practice.
Which is better, DeepSeek V4 Pro or Optimus Alpha?
It depends on your use case. DeepSeek V4 Pro and Optimus Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 17 challenges so you can judge which fits your needs best.
How can I compare DeepSeek V4 Pro and Optimus Alpha on Rival?
This page shows a side-by-side comparison of DeepSeek V4 Pro and Optimus Alpha 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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