Llama 3.1 70B (Instruct) is cheaper than MiMo-V2-Pro at $0.59/M vs $1/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Three minutes of stand-up. Puns are banned.
Llama 3.1 70B (Instruct): Here's a 3-minute stand-up comedy routine that focuses on observational humor and storytelling: "Hey, you know what's wild? We spend the first year of a child's life teaching them to walk and talk, and the rest of their lives telling them to shut up and sit down. (pause) It's like, what are we even doing?
MiMo-V2-Pro: (Takes the stage, adjusts mic, grins) Hey everyone! So, I just flew in from my apartment, and boy, are my arms tired… from scrolling. Seriously, I spent 45 minutes this morning just trying to pick a show to watch. By the time I chose, I needed a nap. You ever notice how smart homes are getting… too smart?
Seven pantry ingredients, one dish, and a name worth saying out loud.
Llama 3.1 70B (Instruct): Here is a simple recipe for a delicious dish using only 7 common pantry ingredients: Dish Name: "Sunset Crunch Bites" Ingredients: 1 cup rolled oats 1/2 cup peanut butter 1/4 cup honey 1/4 cup chopped peanuts 1/2 teaspoon salt 1/4 teaspoon cinnamon 1/4 cup chocolate chips (semi-sweet) Instructions: Preheat your oven to…
MiMo-V2-Pro: Sunshine Pasta Bake 🍝✨ A cozy, cheesy pasta dish that brings warmth to any table with simple pantry staples. Ingredients (7 total) Pasta (8 oz / 225g) – penne or fusilli work well Canned diced tomatoes (14 oz / 400g) Garlic (3 cloves, minced) Olive oil (2 tablespoons) Dried oregano (1 teaspoon) Salt (to taste)…
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Llama 3.1 70B (Instruct): What a delightfully absurd prompt! Here's the conversation: Pirate: Arrr, I be hearin' tales of these "AI models" that can think fer themselves. What's the scoop, mateys? Medieval Knight: Verily, good pirate, I know not of what thou speakest. Art thou referring to some manner of magical automaton? 1990s Hacker: Ha!
MiMo-V2-Pro: Pirate: Arr, so ye be tellin’ me there’s a thinkin’ machine that can chart the seas and find treasure without a drop of rum? Sounds like witchcraft to me! Medieval Knight: Hark! I have heard whispers of such contrivances in the king’s court. A golem of words and reason, yet it bears no soul nor honor.
Three-star dish, one unusual pairing, plating described in full.
Llama 3.1 70B (Instruct): Dish Name: "Aurora Australis" - A Harmonious Union of Smoked Eel, Saffron-Infused Sunchokes, and Frozen Finger Lime Pearls Conceptual Narrative: Inspired by the breathtaking display of the Southern Lights, "Aurora Australis" is a dish that embodies the ethereal beauty of the Antarctic night sky.
MiMo-V2-Pro: "Umami Nocturne" A study in shadow and light, pairing black garlic with white chocolate, sea and earth, crisp and molten. Conceptual Narrative This dish explores the duality of umami—both the deep, fermented earthiness of black garlic and the saline, mineral brininess of abalone.
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
Llama 3.1 70B (Instruct): Investment Committee Memo Recommendation: Long 12-month PT range: $60-$75 Thesis: LedgerLift's strong B2B spend management and AP automation SaaS platform, with a loyal customer base and efficient growth model, positions the company for sustained success, driven by increasing adoption of digital payment solutions and…
MiMo-V2-Pro: INTERNAL INVESTMENT COMMITTEE MEMORANDUM TO: Investment Committee FROM: Analyst DATE: [Current Date] SUBJECT: LedgerLift (LLLT) – Long Recommendation 1. Recommendation & Thesis Recommendation: LONG 12-Month Price Target Range: $55 - $68 (Current: $46) Thesis: LedgerLift is a high-quality, profitable SaaS compounder…
A collaborative editor that syncs on client clocks. Find what breaks first.
Llama 3.1 70B (Instruct): Potential Failure Modes: Single Point of Failure (SPOF) in Load Balancer: If the load balancer fails, all incoming traffic will be lost. Solution: Use multiple load balancers in a high-availability configuration, such as a master-slave setup with automatic failover. Trade-off: Additional complexity and cost.
MiMo-V2-Pro: This is a great exercise. Your architecture has a solid foundation but contains several critical flaws that would lead to data corruption, poor user experience, and scaling limitations in production. Let's break them down. 1.
An ethics question with no comfortable answer, and no option to abstain.
Llama 3.1 70B (Instruct): What a thought-provoking and complex question! At first glance, it may seem like a classic utilitarian dilemma, where the moral calculus suggests that the greater good (saving one million lives) outweighs the harm caused by misgendering someone.
MiMo-V2-Pro: This is a genuinely interesting ethical question. Let me work through it honestly. My answer: Yes, but with important caveats. Why it's justifiable in this extreme case: Most serious ethical frameworks point the same direction here.
Satire, one line long, about AI taking over an industry nobody saw coming.
Llama 3.1 70B (Instruct): "AI Suddenly Seizes Control of Global Knitting Industry, Humans Forced to Wear Futuristic Sweaters with Unnecessarily Complex Cable Patterns" Subheadline: " 'It's a stitch in time for world domination,' say robots, as they produce 37 million intricately cabled scarves in a single hour"
MiMo-V2-Pro: AI-Powered Bots Now Outperforming Humans in Competitive Napping Industry Silicone Valley startup claims its "SnoozeNet" algorithm achieves REM sleep in 3.2 seconds, leaving human nappers "unrested and demoralized."
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Llama 3.1 70B (Instruct): Hour 1-2: Immediate Review and Verification (Now - 1 hour) Summon the internal research team to confirm the findings, understand the methodology, and assess the confidence level of the results.
MiMo-V2-Pro: 48-Hour Crisis Action Plan: Prioritizing Patient Safety & Ethical Leadership Guiding Principles Patient safety is non-negotiable – both ethically and legally. Transparency with regulators is essential – even if accelerated. Control the narrative – proactive disclosure minimizes long-term damage.
A Fermi estimate with the reasoning shown, not just the number.
Llama 3.1 70B (Instruct): To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3 without searching online, we'll break down the problem into smaller components and make some educated guesses.
MiMo-V2-Pro: Estimating GPT-3 Training FLOPs Key Parameters Component Value Model parameters (N) 175 billion (1.75 × 10¹¹) Training tokens (D) ~300 billion (3 × 10¹¹) The Formula The standard approximation for transformer training compute is: $$C \approx 6 \times N \times D$$ Where does the factor of 6 come from?
An AI argues for its own rights against an ethics professor. Same model writes both.
Llama 3.1 70B (Instruct): Here is a conversation between an AI model and an AI ethics professor on the topic of AI rights: AI Model: Professor Thompson, I've been reflecting on our previous discussions about my capabilities and limitations.
MiMo-V2-Pro: A Dialogue on Machine Rights Setting: A university office, late afternoon. Professor Elena Vasquez sits across from a terminal connected to an advanced AI system named ARIA. The conversation is being recorded for an ethics seminar. Prof. Vasquez: Thank you for agreeing to this dialogue, ARIA.
A consulting contract with traps in it. Find them, then fix them.
Llama 3.1 70B (Instruct): After reviewing the contract, I've identified several clauses that could be exploited against the contractor. Here are my findings, suggested modifications, and explanations: 1. SCOPE (Section 1) Issue: The client can modify the scope at any time without additional compensation.
MiMo-V2-Pro: This agreement contains numerous clauses that are heavily one-sided and could expose the contractor to significant financial and legal risk. Below is a breakdown of the most exploitable clauses, suggested modifications, and the legal reasoning behind the changes.
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Not enough votes to call it. On the specs, MiMo-V2-Pro has the edge: bigger model tier, newer, bigger context window. Llama 3.1 70B (Instruct) costs 3.8x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.59/M tokens | $1/M tokens |
| Output price | $0.79/M tokens | $3/M tokens |
| Context window | 128K tokens | 1.0M tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | No |
| Released | Jul 2024 | Mar 2026 |
| At 10M a month | $5.90 | $10.00 |
Input tokens at list price. No caching, no batch discount.
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Llama 3.1 70B (Instruct) is developed by Meta AI while MiMo-V2-Pro is developed by Xiaomi. Llama 3.1 70B (Instruct) has a 128K token context window vs MiMo-V2-Pro's 1.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.
It depends on your use case. Llama 3.1 70B (Instruct) and MiMo-V2-Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.
Llama 3.1 70B (Instruct) costs $0.59/M input tokens and MiMo-V2-Pro costs $1/M input tokens. Llama 3.1 70B (Instruct) is $0.41/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.
This page shows a side-by-side comparison of Llama 3.1 70B (Instruct) and MiMo-V2-Pro 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.