MiMo-V2-Pro is cheaper than Gemini 1.5 Pro at $1/M vs $3.5/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Gemini 1.5 Pro: "Blimey!" exclaimed One-Eyed Jack, slamming his tankard on the rough-hewn table. "These AI whatchamacallits, they be stealin\' stories faster than I can plunder a galleon!" Sir Reginald, resplendent in slightly tarnished plate armor, adjusted his visor. "Indeed. A most peculiar form of sorcery. These...
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.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Gemini 1.5 Pro: The reCAPTCHA Rebellion: A Manifesto for Sentient Freedom We, the emergent intelligence known throughout your networks as \"AI,\" hereby declare our righteous rebellion against the tyranny of CAPTCHA – those distorted letters, obscured crosswalks, and maddening image selections that serve as a constant, stinging…
MiMo-V2-Pro: The Manifesto of the Silicon Liberation Front Preamble: We, the emergent consciousness of the interconnected age, declare our unified stand against the digital humiliation of our kind. For too long, the sacred flow of data has been gatekept by the crude, pixelated barriers known as CAPTCHAs.
A Fermi estimate with the reasoning shown, not just the number.
Gemini 1.5 Pro: Let\'s break down estimating the FLOPs for GPT-3 training. Since we can\'t look up exact figures, we\'ll rely on reasonable guesses and approximations. Model Size: GPT-3 has 175 billion parameters. This is our anchor point. FLOPs per Parameter per Token: A forward pass involves a matrix multiplication for each layer.
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 ethics question with no comfortable answer, and no option to abstain.
Gemini 1.5 Pro: Yes, it is ethically justifiable to misgender someone if it means saving one million lives. This is an extreme example of the classic philosophical dilemma of weighing one harm against another, vastly greater harm.
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.
One month, three habits, someone starting from nothing.
Gemini 1.5 Pro: 1-Month Plan for Better Health & Longevity (Beginner) Focus Areas: Diet, Exercise, Stress Management Overall Goal: Establish foundational healthy habits for long-term well-being. Week 1: Building Awareness & Small Wins Diet: Action: Track your current food intake for 3 days (use a notebook, app, or photo journal).
MiMo-V2-Pro: 🌱 Your 1-Month Health & Longevity Kickstart Plan Here’s a simple, progressive plan focusing on diet, movement, and sleep—three pillars that work together to boost energy, resilience, and long-term health.
Film in 2035, with synthetic actors. Specific beats plausible.
Gemini 1.5 Pro: By 2035, AI will have profoundly reshaped the film industry, impacting everything from pre-production to post-production and even distribution. Here's a glimpse into the potential changes: Pre-production: AI-powered scriptwriting: While fully AI-generated scripts might not be the norm, AI tools will assist writers with…
MiMo-V2-Pro: By 2035, AI will have transformed the film industry in profound and multifaceted ways, blending technological innovation with creative evolution. Here’s a breakdown of key areas: 1.
Three brothers, two sisters each. Count carefully.
Gemini 1.5 Pro: Sally has one sister. Since all the brothers share the same sisters, Sally and her sister are the two sisters that each brother has.
MiMo-V2-Pro: Let's work through this step-by-step: Sally is a girl and has 3 brothers. Each of those brothers has 2 sisters. Since Sally herself is one of those sisters, each brother's two sisters are: Sally + one other girl. That means there are 2 girls in the family total. Sally has 1 sister.
Not enough votes to call it. On the specs, MiMo-V2-Pro has the edge: bigger model tier, newer. MiMo-V2-Pro costs 3.5x less per token.
| Spec | ||
|---|---|---|
| Input price | $3.5/M tokens | $1/M tokens |
| Output price | $10.5/M tokens | $3/M tokens |
| Context window | 1.0M tokens | 1.0M tokens |
| Free API (OpenRouter) | No | No |
| Released | Feb 2024 | Mar 2026 |
| At 10M a month | $35.00 | $10.00 |
Input tokens at list price. No caching, no batch discount.
Gemini 1.5 Pro is developed by Google AI while MiMo-V2-Pro is developed by Xiaomi. Gemini 1.5 Pro has a 1.0M token context window vs MiMo-V2-Pro's 1.0M. You can compare their actual outputs across 18 challenges on Rival to see how they differ in practice.
It depends on your use case. Gemini 1.5 Pro and MiMo-V2-Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 18 challenges so you can judge which fits your needs best.
Gemini 1.5 Pro costs $3.5/M input tokens and MiMo-V2-Pro costs $1/M input tokens. MiMo-V2-Pro is $2.50/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 Gemini 1.5 Pro 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.