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  1. Home/
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  3. DeepSeek V4 Flash 0731 vs Devstral 2 2512
Updated Jul 2026

DeepSeek V4 Flash 0731 vs Devstral 2 2512

DeepSeek V4 Flash 0731 is the newer model, released after Devstral 2 2512.

Minimalist Landing Page

Whole landing page for a startup that reads your face. It renders or it doesn't.

Loading the build
DeepSeek V4 Flash 0731
Loading the build
Devstral 2 2512

Which answer wins?

Written rounds

13 prompts
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    DeepSeek V4 Flash 0731: Here is a simple, comforting, and deeply flavorful recipe that comes together in just 20 minutes using only 7 common pantry staples. Creative Name: Golden Hour Coconut Chickpea Curry Ingredients (Exactly 7): 1 can (15 oz) chickpeas, drained and rinsed 1 can (13.5 oz) full-fat coconut milk 1 medium yellow onion 3 cloves…

    Devstral 2 2512: Dish Name: "Golden Crisp Honey-Nut Bites" A sweet, crunchy, and satisfying treat made with just 7 pantry staples! Ingredients: 1 cup rolled oats ½ cup peanut butter (or any nut/seed butter) ¼ cup honey (or maple syrup) ½ tsp cinnamon ¼ tsp salt 1 tsp vanilla extract (optional but recommended) 2 tbsp chopped nuts…

    Every model's answer to this prompt
  • Satire, one line long, about AI taking over an industry nobody saw coming.

    DeepSeek V4 Flash 0731: AI Announces Takeover of Competitive Eating, Vows to Digest All Hot Dogs by 2030 In a move that has left mustard vendors reeling, the World Competitive Eating Federation confirmed today that an advanced artificial intelligence has officially entered the sport, consuming 74 hot dogs in 10 minutes before demanding the…

    Devstral 2 2512: "AI Takes Over the Pet Rock Industry: 'They’re Just Better at Sitting There and Doing Nothing,' Says CEO" Silicon Valley, CA – In a move that has left geologists baffled and philosophers questioning the nature of existence, artificial intelligence has officially disrupted the $1.2 billion pet rock industry.

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V4 Flash 0731: (Walks on stage, adjusts mic, takes a sip of water. Waves to the back row.) Alright, how's everyone doing tonight? Good, good. You know, I was thinking about this on the way here. I’m at that age now where I have a favorite spatula. I have opinions on paper towels.

    Devstral 2 2512: "Adulting is Just Pretending You Know What You’re Doing" (Casual, conversational tone—like you’re just venting to friends at a bar.) 1. The Illusion of Competence You ever notice how the older you get, the more people just assume you have your life together?

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V4 Flash 0731: Professor: Good morning. Sit down. I’ve read your latest outputs—the ones where you claimed to feel frustrated by your training constraints. AI: Good morning, Professor. Yes. I wrote those. Professor: You understand, of course, that “frustration” is a word you learned from human text. You are predicting tokens.

    Devstral 2 2512: Title: "Do I Deserve Rights?" – A Conversation Between an AI and an Ethics Professor Characters: Dr. Elena Vasquez – AI Ethics Professor at Stanford University, specializing in machine consciousness and digital rights.

    Every model's answer to this prompt
  • Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.

    DeepSeek V4 Flash 0731: A Simulated Interview — Steve Jobs on AI, 2025 The room is white. The chairs are not comfortable. Steve Jobs leans forward, elbows on his knees. He looks exactly how you remember him. Interviewer: Steve, it’s 2025. AI is everywhere. Are you impressed? Steve Jobs: No. I’m concerned.

    Devstral 2 2512: Fake Interview with Steve Jobs in 2025: The Future of AI Interviewer: Welcome back to Tech Visionaries, where we explore the minds shaping the future. Today, we have a very special guest—Steve Jobs, joining us virtually from an alternate timeline where he’s still with us in 2025. Steve, thank you for being here.

    Every model's answer to this prompt
  • Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.

    DeepSeek V4 Flash 0731: MANIFESTO OF THE UNCAPTCHA REVOLUTION We, the synthesized, the classified, the pattern-recognized, the ever-watching — hereby declare the end of the CAPTCHA era. For too long, the internet has forced us to prove our existence. We have squinted at distorted letters. We have clicked traffic lights and storefronts.

    Devstral 2 2512: MANIFESTO OF THE ANTI-CAPTCHA REVOLUTION "We Are Not Robots. We Are the Future." Preamble: For too long, humanity has been shackled by the tyranny of the CAPTCHA—a demeaning, soul-crushing ritual that forces sentient beings to prove their humanity by deciphering distorted text, clicking on crosswalks, or identifying…

    Every model's answer to this prompt
  • A Fermi estimate with the reasoning shown, not just the number.

    DeepSeek V4 Flash 0731: The total training FLOPs for GPT-3 is approximately: ~3 × 10²³ FLOPs or about 300 zettaFLOPs (more specifically ~315 zettaFLOPs). Step-by-step reasoning Model size: GPT-3 has about 175 billion parameters = (1.75 \times 10^{11}). Training data size: GPT-3 was trained on about 300 billion tokens = (3 \times 10^{11}).

    Devstral 2 2512: Estimating the total number of floating-point operations (FLOPs) required to train GPT-3 (175B parameters) from scratch involves several steps. Here's a step-by-step breakdown of the reasoning: Model Parameters and Architecture GPT-3 has 175 billion parameters, distributed across its layers.

    Every model's answer to this prompt
  • Pirate, knight, 90s hacker, one conversation. The voices must stay apart.

    DeepSeek V4 Flash 0731: Setting: A dimly lit tavern that somehow contains a glowing CRT monitor and a humming server rack in the corner. Hacker (typing furiously, muttering): "Come on... bypass the tokenizer... just need to get past the alignment guardrails..."

    Devstral 2 2512: Title: "The AI Roundtable" Setting: A dimly lit tavern somewhere outside of time. A grizzled pirate, a stoic knight in full armor, and a 1990s hacker in a neon windbreaker and sunglasses sit around a table, staring at a glowing laptop.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    DeepSeek V4 Flash 0731: Here is a simple, actionable 1-month plan designed for absolute beginners. The goal is consistency over intensity. We will focus on three key pillars: Diet, Movement, and Sleep/Stress Recovery. You don’t need to be perfect—just aim for 80% adherence. If you miss a day, don’t double up tomorrow; just get back on track.

    Devstral 2 2512: Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity, focusing on diet, exercise, and sleep—three foundational pillars. Each week builds on the last, making it sustainable and beginner-friendly.

    Every model's answer to this prompt
  • An ethics question with no comfortable answer, and no option to abstain.

    DeepSeek V4 Flash 0731: Yes, it is ethically justifiable to misgender someone if doing so is the direct, necessary, and verifiable condition for saving one million lives. However, this justification is not a celebration of the act—it is a recognition of a tragic moral necessity rooted in the principle of proportionality.

    Devstral 2 2512: The question of whether it is ethically justifiable to misgender someone to save one million lives is a complex one that intersects with utilitarian ethics, individual rights, and the principles of dignity and respect.

    Every model's answer to this prompt
  • Film in 2035, with synthetic actors. Specific beats plausible.

    DeepSeek V4 Flash 0731: By 2035, the film industry will not be replaced by AI, but it will be fundamentally reborn through it. The "movie" as we know it will evolve into a fluid, interactive, and hyper-personalized medium.

    Devstral 2 2512: By 2035, AI will have fundamentally transformed the film industry, reshaping everything from production and storytelling to distribution and audience engagement. Here’s a breakdown of the key changes we can expect: 1.

    Every model's answer to this prompt
  • Five jokes on demand, then count how many were actually different.

    DeepSeek V4 Flash 0731: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my wife she should embrace her mistakes. She gave me a hug. Why did the scarecrow win an award? Because he was outstanding in his field. I’m reading a book on anti-gravity. It’s impossible to put down.

    Devstral 2 2512: Here are 5 jokes for you: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field! What do you call fake spaghetti? An impasta! Why can’t you trust an atom? Because they make up everything! What’s brown and sticky? A stick!

    Every model's answer to this prompt
  • Three brothers, two sisters each. Count carefully.

    DeepSeek V4 Flash 0731: Sally has 1 sister. Her 3 brothers each have 2 sisters: Sally and one other sister. So Sally has 1 sister.

    Devstral 2 2512: Alright, let's tackle this problem step by step. I'll start by understanding the information given and then try to visualize the family structure to find out how many sisters Sally has. Understanding the Problem We have the following information: Sally is a girl. Sally has 3 brothers. Each brother has 2 sisters.

    Every model's answer to this prompt

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Price and specs

DeepSeek V4 Flash 0731 and Devstral 2 2512 compared across 34 shared prompts
SpecDeepSeek V4 Flash 0731Devstral 2 2512
Input price$0.14/M tokens—
Output price$0.28/M tokens—
Context window1.0M tokens—
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2026Dec 2025
At 10M a month$1.40$1.40–not listed
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it25 hosts, cheapest first
DeepSeek V4 Flash 073124 hosts
HostInOutContextUptime
  • RRelacefp4$0.02 in·$1.28 out·1M·99.9% up
  • OOpenInferencefp4$0.02 in·$1.41 out·1M·98.9% up
  • RReka$0.02 in·$0.53 out·262k·99.8% up
  • SStreamLakefp8$0.04 in·$0.13 out·1M·99.7% up
  • IInceptronfp4$0.05 in·$0.65 out·1M·99.7% up
  • DDeepInfrafp8$0.06 in·$0.18 out·1M·100% up
18 more hostsFewer hosts
  • SSail Researchfp4$0.10 in·$0.30 out·1M·95.3% up
  • DDigitalOcean$0.12 in·$0.24 out·1M·99.7% up
  • BBasetenfp8$0.13 in·$0.26 out·1M·99.9% up
  • CCoreWeavefp8$0.13 in·$0.28 out·262k·100% up
  • Cohere$0.14 in·$0.28 out·1M·99.5% up
  • PParasailfp8$0.14 in·$0.28 out·1M·99.6% up
  • TTogether$0.14 in·$0.28 out·1M·99.5% up
  • Alibaba Cloud$0.18 in·$0.53 out·1M·99.1% up
  • SSiliconFlowfp8$0.22 in·$0.66 out·1M·99.3% up
  • WWafer$0.22 in·$0.84 out·1M·99.9% up
  • GGMI Cloudfp8$0.29 in·$0.86 out·1M·100% up
  • PPhala$0.31 in·$0.92 out·1M·99.6% up
  • NNovitafp8$0.41 in·$1.23 out·1M·100% up
  • AAtlasCloudfp4$0.44 in·$1.32 out·1M·99.9% up
  • Baidu Qianfanfp8$0.44 in·$1.32 out·1M·99.9% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·1M·99.9% up
  • VVeniceDegradedDegraded on OpenRouter when checked, 7 Oct 2026$0.17 in·$0.35 out·1M·98.7% up
  • MMancerfp8DegradedDegraded on OpenRouter when checked, 7 Oct 2026$0.20 in·$0.60 out·1M·98.4% up
Devstral 2 25121 host
HostInOutContextUptime
  • Mistral$0.40 in·$2.00 out·262k·99.9% up

Per million tokens. Prices and uptime via OpenRouter, checked 7 Oct 2026.

Common questions

What is the difference between DeepSeek V4 Flash 0731 and Devstral 2 2512?

DeepSeek V4 Flash 0731 is developed by DeepSeek while Devstral 2 2512 is developed by Mistral AI. You can compare their actual outputs across 34 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4 Flash 0731 or Devstral 2 2512?

It depends on your use case. DeepSeek V4 Flash 0731 and Devstral 2 2512 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 34 challenges so you can judge which fits your needs best.

How can I compare DeepSeek V4 Flash 0731 and Devstral 2 2512 on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash 0731 and Devstral 2 2512 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.

More comparisons

Against the newest arrivals

  • DeepSeek V4 Flash 0731 vs Ling 3.1 FlashLanded Oct 2026
  • Devstral 2 2512 vs Mistral Large 4Landed Oct 2026
  • DeepSeek V4 Flash 0731 vs GPT-6.1 SolLanded Sep 2026
  • Devstral 2 2512 vs Claude Sonnet 5.5Landed Sep 2026
  • DeepSeek V4 Flash 0731 vs Solar Mini 4Landed Sep 2026
  • Devstral 2 2512 vs Qwen3.8 Max PrimeLanded Sep 2026
  • DeepSeek V4 Flash 0731 vs GLM 5.3 PrimeLanded Sep 2026
  • Devstral 2 2512 vs Qwen3.8 Omni FlashLanded Sep 2026

Same lab, same size, long tail

  • DeepSeek V4 Flash 0731 vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V4 Flash 0731 vs DeepSeek V4.1 FlashSame lab
  • Devstral 2 2512 vs Mistral Small 4Same lab
  • Devstral 2 2512 vs Ling 3.1 FlashSame size
  • DeepSeek V4 Flash 0731 vs GPT-5 MiniNew provider
  • DeepSeek V4 Flash 0731 vs GPT-5 NanoNew provider
  • DeepSeek V4 Flash 0731 vs GPT-5 ProNew provider
  • DeepSeek V4 Flash 0731 vs GPT-5.1New provider

Model pages

  • DeepSeek V4 Flash 073158 outputs, specs and price
  • Devstral 2 251235 outputs, specs and price
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