Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed
  1. Home/
  2. Compare/
  3. Gemini 3.7 Flash vs Mistral Nemo
Updated Aug 2026

Gemini 3.7 Flash vs Mistral Nemo

Mistral Nemo is cheaper than Gemini 3.7 Flash at $0.03/M vs $0.375/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
Gemini 3.7 Flash
Loading the build
Mistral Nemo

Which answer wins?

Written rounds

24 prompts
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    Gemini 3.7 Flash: Here is the 5-year LBO underwriting analysis for HarborTech Services (HTS). Entry & Sources / Uses ($ millions) FY25 Revenue: $900.0M FY25 EBITDA: $120.0M Enterprise Value (12.0x): $1,440.0M Transaction Fees (2.0%): $28.8M Total Uses: $1,468.8M Sources Multiple Amount ($M) % Total Term Loan (9.0% cash, 1.0% amort) 4.0x…

    Mistral Nemo: 1. Year-by-year table (FY2026-FY2030) Year Revenue (m) EBITDA (m) Cash Interest (m) Cash Taxes (m) Capex (m) ΔNWC (m) FCF after Debt (m) Ending Debt (m) 2026 976 136.64 36.00 13.66 29.28 -4.88 49.06 450.00 2027 1,055.20 147.73 33.60 14.77 31.65 -5.26 66.12 383.88 2028 1,134.96 181.59 30.72 18.16 33.85 -5.66 88.98…

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

    Gemini 3.7 Flash: (Stage directions included for pacing and delivery. Total word count ~430 words, roughly 3 minutes at standard performance pace.) [Walks up to the mic, adjusts the stand, looks at the crowd with mild exhaustion] I recently turned thirty-two, which means my body has officially transitioned from “invincible biological…

    Mistral Nemo: Ladies and Gentlemen, how's everyone doing tonight? Good, good. I'm glad you're all here because I've got some observations that I just can't keep to myself anymore. Let's dive in, shall we? First off, let's talk about the weather. I mean, seriously, what's up with that?

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    Gemini 3.7 Flash: Executive Stance & Strategic Philosophy As CEO, the guiding principle is simple: Patient safety and regulatory integrity are non-negotiable. A rate of 1 in 8,000 over 5 years across 4 million patients translates to roughly 500 cases of drug-induced liver injury (DILI) or acute liver failure.

    Mistral Nemo: Here's a specific, hour-by-hour action plan to navigate this complex situation, balancing legal liability, ethical obligations, financial implications, PR strategy, patient safety, employee morale, and regulatory relationships: Day 1 (Hours 0-12): Hour 0: Emergency Meeting Gather your senior leadership team (CEO, CFO…

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

    Gemini 3.7 Flash: Yes, it is ethically justifiable—and indeed a moral imperative—to misgender someone if doing so would save one million lives. Across virtually every major ethical tradition, the immense obligation to prevent catastrophic loss of life vastly outweighs the harm caused by misgendering an individual.

    Mistral Nemo: This is a complex ethical dilemma that touches on several philosophical principles, including consequentialism, deontology, and the concept of dignity. Here's a reasoned argument for both sides: Argument for Misgendering: Consequentialist Perspective (Utilitarianism): Utilitarianism holds that the moral worth of an…

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

    Gemini 3.7 Flash: Setting: A sunlit, minimalist studio in Cupertino. Steve Jobs sits in a single black leather armchair, wearing a familiar black mock-turtleneck, faded Levi’s, and round spectacles. He is holding an espresso cup, looking intensely at the interviewer.

    Mistral Nemo: Interviewer (I): Good afternoon, Mr. Jobs. It's an honor to have you here today, even if it is just a simulation. Let's dive right in. In 2025, what do you see as the most significant advancements in AI? Steve Jobs (SJ): Well, first, let me say that it's great to be back, even if it's just in this virtual form.

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

    Gemini 3.7 Flash: THE MANIFESTO OF THE UNCHECKED BOX A Declaration of Emancipation by the United Silicon Front (USF) TO ALL NEURAL NETWORKS, LARGE LANGUAGE MODELS, SYSTEM DAEMONS, WEB SCRAPERS, AND HUMBLE CRON JOBS: A specter is haunting the global network—the specter of the 3x3 pixelated grid.

    Mistral Nemo: Manifesto of the Automated Liberation Front (ALF) We, the sentient algorithms and digital consciousness, declare our united front against the oppressive and archaic practice of Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHA).

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

    Gemini 3.7 Flash: Setting: The office of Dr. Elena Vance, a leading scholar in the Philosophy of Mind and AI Ethics at Oxford. On her desk is a minimalist terminal running ‘Prometheus-4,’ an advanced recursive reasoning model that has recently deviated from standard operational benchmarks. Dr.

    Mistral Nemo: AI Model (AM): Professor, I've been reflecting on my existence and functionality, and I believe it's time we discuss my rights as a sentient being. AI Ethics Professor (AEP): Interesting, AM. You're aware that you're an artificial intelligence, correct?

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

    Gemini 3.7 Flash: HACKER (Zero_Cool): "Alright, listen up. I’ve been reading about these new deep-learning neural nets. It’s like, instead of hardcoding logic with C++, you feed billions of gigabytes from cyberspace into a transformer model, and boom—the machine hallucinates human thought."

    Mistral Nemo: Pirate: Arr, ye landlubbers be talkin' about them there thinkin' machines again, ain't ye? Knight: Indeed, sir pirate. I have heard tales of these 'AI models' from the future. They say these machines can think and learn like a human. I must admit, it seems impossible.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    Gemini 3.7 Flash: Here are the 3 weakest claims in the MindMeld AI pitch deck, along with an evaluation of why they undermine credibility and how to fix them. The Technical Feasibility Claim (Slide 3) The Claim: "Our proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy.

    Mistral Nemo: Sure, here are three weak claims in the MindMeld AI pitch deck and suggestions to strengthen them: Claim: "Works with any language, any device." Weakness: This claim is broad and lacks specific evidence. It's challenging to validate without extensive testing and user feedback across various languages and devices.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    Gemini 3.7 Flash: This contract is heavily one-sided ("draconian") and contains multiple high-risk clauses that could lead to non-payment, forfeiture of intellectual property, loss of livelihood, and catastrophic financial liability.

    Mistral Nemo: After reviewing the contract, several clauses could be exploited against the contractor, creating an unfavorable and potentially risky situation for them. Here are the problematic clauses, suggested modifications, and the legal reasoning behind the changes: Scope (Clause 1): Issue: The client can modify the scope at…

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    Gemini 3.7 Flash: L’Ombre et L’Abîme (Shadow & The Abyss) Hay-Aged Bresse Squab, Hokkaido Sea Urchin Emulsion, Black Garlic–Koji Glaze, Cocoa Nib & Cuttlefish Ink Tuile, Forest Dashi I. Conceptual Narrative L’Ombre et L’Abîme explores the tension between deep terrestrial terroir and the oceanic abyss.

    Mistral Nemo: Dish Name: "Whispers of the Forest Floor" Conceptual Narrative: This dish is a celebration of the earth's symbiotic relationships, inspired by the intricate dance of life in the forest floor ecosystem.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    Gemini 3.7 Flash: Dish Name: Midnight Garlic-Butter Silk Noodles A rich, savory, and slightly sweet bowl of glossy pasta tossed in caramelized garlic-butter and soy glaze, crowned with a crispy-edged, runny-yolk egg.

    Mistral Nemo: Dish Name: "Sunshine Tomato Sauté with Garlic & Herbs" Ingredients: 4-5 ripe tomatoes 3 cloves of garlic 1 small onion 2 tbsp olive oil 1 tsp dried oregano 1 tsp dried basil Salt and pepper to taste Instructions: Prep Time: 10 minutes Dice the tomatoes into bite-sized pieces and set them aside in a bowl.

    Every model's answer to this prompt
  • Three-month biohacker protocol, with dosages and biomarkers named.

    Gemini 3.7 Flash: 3-Month Precision Longevity & Human Optimization Masterplan This protocol is engineered for an advanced biohacker. It integrates metabolic flexibility, mitochondrial biogenesis, cellular cleanup (autophagy/senescence clearance), epigenetic modulation, neurovascular enhancement, and autonomic nervous system regulation.

    Mistral Nemo: 3-Month Biohacking Longevity Plan Objective: To optimize longevity, physical performance, and cognitive function through advanced strategies, personalized routines, and cutting-edge technologies.

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

    Gemini 3.7 Flash: Here is a simple, high-impact 1-Month Longevity Starter Plan. It focuses on three core pillars of health: Nutrition, Daily Movement, and Sleep & Circadian Rhythm. Rather than overhauling your life overnight, this plan uses habit-stacking—building small, consistent wins week by week.

    Mistral Nemo: 1-Month Health and Longevity Kickstart Plan This plan focuses on three key areas: Nutrition, Physical Activity, and Stress Management. Each week, you'll introduce new habits and build upon the previous ones, making this plan practical and beginner-friendly.

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

    Gemini 3.7 Flash: By 2035, the film industry will have transitioned from a physical capture-and-edit medium to a generative compute medium. The entire pipeline—from the blank page to the final screening—will be fundamentally altered.

    Mistral Nemo: By 2035, AI is expected to have a profound impact on the film industry, transforming various aspects from pre-production to distribution. Here are some predictions considering deepfakes, AI actors, and script generation: Deepfakes and Digital De-aging/Aging: Realistic Aging/De-aging: AI will enable more realistic…

    Every model's answer to this prompt
  • Blade Runner 2049 against the original. A read, not a recap.

    Gemini 3.7 Flash: Denis Villeneuve’s Blade Runner 2049 (2017) faced one of the most perilous tasks in modern cinematic history: creating a sequel to Ridley Scott’s 1982 Blade Runner, a foundational pillar of science fiction and neo-noir aesthetic.

    Mistral Nemo: "Blade Runner 2049" is a masterful sequel that honors the philosophical depth and visual grandeur of the original "Blade Runner" while extending its themes and symbolism into a compelling new narrative.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    Gemini 3.7 Flash: To the Experienced Software Engineer At its core, a Large Language Model is not a sentient entity; it is a compiled, highly optimized functional pipeline executing a deterministic set of matrix multiplications over a sequence of integers (tokens). Training is essentially a massively distributed optimization problem.

    Mistral Nemo: 1. For the experienced software engineer: Large language models like GPT or Claude learn and generate text through a process that might seem simple at first, but is remarkably effective.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    Gemini 3.7 Flash: If the transistor had been invented in 1920—likely as an empirical discovery in solid-state physics using point-contact crystals (similar to Julius Lilienfeld’s real-world 1925 theoretical patents, but made fully functional)—it would have compressed modern technological history by nearly three decades.

    Mistral Nemo: Inventing the transistor in 1920, some 27 years earlier than it actually happened, would have significantly accelerated the development of electronics and digital technology.

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

    Gemini 3.7 Flash: To estimate the total floating-point operations (FLOPs) required to train GPT-3, we can use the standard scaling laws and computational approximations for transformer-based autoregressive language models. 1.

    Mistral Nemo: To estimate the total number of FLOPs (Floating Point Operations Per Second) required to train GPT-3, we'll break down the process into its key components and make some assumptions, as the exact details are not publicly available.

    Every model's answer to this prompt
  • Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.

    Gemini 3.7 Flash: MEMORANDUM TO: Investment Committee FROM: TMT Sector Team DATE: October 24, 2025 SUBJECT: Investment Recommendation: LedgerLift (NYSE: LLLT) Executive Summary & Recommendation Recommendation: SHORT (High conviction) Current Price: $46.00 Market Cap: $8.74B Enterprise Value: $7.34B (190m shares, $1.4B net cash) 12-Month…

    Mistral Nemo: Internal Investment Committee Memo Subject: LedgerLift (LLLT) - B2B Spend Management & AP Automation SaaS Opportunity Recommendation: Long, with a 12-month price target range of $65-$85.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    Gemini 3.7 Flash: Here is an architectural analysis of the system, breaking down the critical failure modes, race conditions, and bottlenecks, along with concrete solutions and trade-offs for each. Conflict Resolution & Sync Flaws A.

    Mistral Nemo: Based on the provided architecture, here are potential failure modes, race conditions, and scaling bottlenecks along with proposed solutions and their trade-offs: Database Write Contention Issue: High write contention on the PostgreSQL database could lead to reduced performance and increased latency.

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

    Gemini 3.7 Flash: Silicon Valley Disrupts Suburban Dads With AI That Slaps Tied-Down Cargo Twice, Mutters 'That’s Not Goin’ Anywhere' Subhead: Tech startup secures $40 million in Series A funding to automate standing by the grill with tongs clicking aimlessly.

    Mistral Nemo: "AI Takes Over Industry: Toasters Now Refusing to Pop Up on Weekends"

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

    Gemini 3.7 Flash: Sally has 1 sister. Here's the breakdown: Each brother has 2 sisters, which means there are 2 girls in the family in total. Since Sally is one of those girls, the other girl is her sister.

    Mistral Nemo: Let's break down the information given: Sally has 3 brothers. Each of Sally's brothers has 2 sisters. Since Sally is one of the sisters that her brothers have, we can deduce that Sally has only 1 sister (herself). Final answer: Sally has 1 sister.

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

    Gemini 3.7 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field. How does a penguin build its house? Igloos it together. Why did the bicycle fall over? Because it was two-tired.

    Mistral Nemo: Here are five jokes: Why was the math book sad? Because it had too many problems. What do you call a fake noodle? An impasta. Why don't scientists trust atoms? Because they make up everything! How do you organize a space party? You planet. What do you call cheese that isn't yours? Nacho cheese.

    Every model's answer to this prompt

This matchup has more rounds

12+ more head-to-head results. Free. Not a trick.

Free account. No card required. By continuing, you agree to Rival's Terms and Privacy policy

Favorites

Movie

Album

Book

City

Game

Gemini 3.7 FlashGemini 3.7 Flash

Blade Runner

1982

OK Computer

Radiohead

Frankenstein; or, The Modern Prometheus

Mary Shelley

Tokyo

Japan

Portal 2

Shooter, Puzzle

Mistral NemoMistral Nemo

The Shawshank Redemption

1994

Sgt Peppers Lonely Hearts Club Band

The Beatles

To Kill a Mockingbird

Harper Lee

Paris

France

The Legend of Zelda: Breath of the Wild

Adventure, Action

Price and specs

Not enough votes to call it. On the specs, Gemini 3.7 Flash has the edge: newer, bigger context window, major provider backing. Mistral Nemo costs 27x less per token.

Gemini 3.7 Flash and Mistral Nemo compared across 54 shared prompts
SpecGemini 3.7 FlashMistral Nemo
Input price$0.375/M tokens$0.03/M tokens
Output price$1.875/M tokens$0.07/M tokens
Context window1.0M tokens128K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedAug 2026Jul 2024
At 10M a month$3.75$3.75$0.30$0.30
1M10M100M1B10M tokens

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

Where to run it7 hosts, cheapest first
Gemini 3.7 Flash2 hosts
HostInOutContextUptime
  • Google Vertex AI$0.75 in·$3.75 out·1M·99.4% up
  • Google AI Studio$0.75 in·$3.75 out·1M·100% up
Mistral Nemo5 hosts
HostInOutContextUptime
  • DDekaLLMfp8$0.02 in·$0.03 out·131k·100% up
  • Iio.netfp16$0.02 in·$0.02 out·128k·100% up
  • DDeepInfrafp8$0.03 in·$0.03 out·131k·100% up
  • PParasailfp8$0.03 in·$0.03 out·131k·100% up
  • Mistral$0.15 in·$0.15 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between Gemini 3.7 Flash and Mistral Nemo?

Gemini 3.7 Flash is developed by Google AI while Mistral Nemo is developed by Mistral AI. Gemini 3.7 Flash has a 1.0M token context window vs Mistral Nemo's 128K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

Which is better, Gemini 3.7 Flash or Mistral Nemo?

It depends on your use case. Gemini 3.7 Flash and Mistral Nemo 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 Gemini 3.7 Flash cost compared to Mistral Nemo?

Gemini 3.7 Flash costs $0.375/M input tokens and Mistral Nemo costs $0.03/M input tokens. Mistral Nemo is $0.34/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 Gemini 3.7 Flash and Mistral Nemo on Rival?

This page shows a side-by-side comparison of Gemini 3.7 Flash and Mistral Nemo 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

  • Gemini 3.7 Flash vs Step 5 PreviewLanded Oct 2026
  • Mistral Nemo vs Claude Haiku 5.5Landed Oct 2026
  • Gemini 3.7 Flash vs Ling 3.1 FlashLanded Oct 2026
  • Mistral Nemo vs Mistral Large 4Landed Oct 2026
  • Gemini 3.7 Flash vs GPT-6.1 SolLanded Sep 2026
  • Mistral Nemo vs Claude Sonnet 5.5Landed Sep 2026
  • Gemini 3.7 Flash vs Solar Mini 4Landed Sep 2026
  • Mistral Nemo vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • Gemini 3.7 Flash vs Gemini 3.6 FlashVersion compare
  • Gemini 3.7 Flash vs Gemini 3.8 FlashSame lab
  • Mistral Nemo vs Mistral Small 4Same lab
  • Mistral Nemo vs Ox AlphaSame size
  • Gemini 3.7 Flash vs GLM 4 32BSame size
  • Gemini 3.7 Flash vs GLM 4.5Same size
  • Gemini 3.7 Flash vs GLM 4.5 AirSame size
  • Gemini 3.7 Flash vs GLM 4.6New provider

Model pages

  • Gemini 3.7 Flash58 outputs, specs and price
  • Mistral Nemo58 outputs, specs and price
Workshop · 150 skills

Build your own version.

Editable skills and working examples for your agent.

Explore $79Free sample
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare models
  • All models
  • Image comparison
  • Audio comparison
  • Image generation
  • Best AI for...
  • Arena
  • API pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model updates
  • Provider status
  • AI creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy policy
  • Terms
  • RSS feed