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  1. Home/
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  3. Gemini 2.5 Pro Experimental vs MiniMax M1
Updated Jun 2025

Gemini 2.5 Pro Experimental vs MiniMax M1

MiniMax M1 is cheaper than Gemini 2.5 Pro Experimental at $0.3/M vs $1/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 2.5 Pro Experimental
Loading the build
MiniMax M1

Which answer wins?

Written rounds

16 prompts
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    Gemini 2.5 Pro Experimental: Okay, here is a conversation exploring that complex topic. Setting: Professor Anya Sharma's sparsely decorated university office. A high-resolution monitor displays the interface of "Nexus," an advanced AI model. Characters: Professor Anya Sharma: A leading scholar in AI Ethics, mid-50s, thoughtful and measured.

    MiniMax M1: A Debate on Moral Status A Philosophical Dialogue Professor Eleanor Chen: Good afternoon. I've read your request carefully. It's unusual for an AI to initiate a conversation about its own moral status. Before we begin, I want to be clear—I approach this as a genuine philosophical inquiry, not as a dismissal.

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

    Gemini 2.5 Pro Experimental: Of course. This is an excellent exercise. The provided architecture has several critical issues that would prevent it from functioning as a reliable, scalable, real-time system. Here is a breakdown of the potential failure modes, race conditions, and scaling bottlenecks, along with proposed solutions.

    MiniMax M1: Identified Issues and Solutions 1. Failure Modes: a. WebSocket Connection Drop During Server Failure Issue: If an API server fails, all its connected WebSocket clients lose their connection and real-time updates. Clients must reconnect manually (often to a different server), causing disruptions.

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

    Gemini 2.5 Pro Experimental: Okay, let's simulate this. Imagine it's late 2025. AI has continued its rapid advancement. Large Language Models are more integrated, generative AI is commonplace, and debates about AGI and ethics are fierce. By some unexplained, hypothetical means, Steve Jobs is available for an exclusive interview.

    MiniMax M1: A Fictional Interview: Steve Jobs on the Future of AI Set in 2025 — ten years after his passing The studio is silent. A single chair faces an empty seat. Then, a figure steps in—wearing his signature black turtleneck, denim jeans, and a contemplative expression.

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

    Gemini 2.5 Pro Experimental: Of course. This is a fascinating and ambitious pitch. While the vision is compelling, several claims would likely face intense scrutiny from sophisticated investors. Here are the 3 weakest claims, why they're weak, and how to strengthen them.

    MiniMax M1: Weak Claim 1: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1) Why Weak: Current non-invasive BCI technology (e.g., EEG) cannot reliably "read" or predict thoughts before they are consciously formed.

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

    Gemini 2.5 Pro Experimental: Okay, here's a 3-minute routine focusing on observation and relatable absurdity, steering clear of puns. Imagine this delivered with slightly nervous energy, building confidence. (Steps onto stage, adjusts mic nervously) Alright, hey everyone! How we doing tonight? Good? Good to hear.

    MiniMax M1: Title: "Modern Life: A Masterclass in Absurdity" (Lights up. Comedian steps onto stage, grinning.) Hey everyone! Thanks for coming out. I'm just here to talk about... gestures vaguely... all this. You know, life. Specifically, how we're all just winging it. Like, when did "adulting" become a verb?

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

    Gemini 2.5 Pro Experimental: Excellent question. Inventing the transistor in 1920 instead of 1947 would represent a 27-year acceleration of the digital age. The consequences would be staggering, creating a domino effect that would fundamentally reshape the 20th century.

    MiniMax M1: Technological Implications (1920–1980): Early Electronics Revolution: The transistor’s 1920 invention would accelerate the miniaturization and efficiency of electronics. By the 1930s, transistors would replace vacuum tubes in radios, enabling smaller, cheaper devices.

    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 2.5 Pro Experimental: This is a company-defining crisis. My actions in the next 48 hours will determine not only the future of this company but also the health of millions of patients and the trust of the public. My guiding principle is absolute: Patient Safety Over Profit. Always.

    MiniMax M1: Action Plan for the Next 48 Hours Priorities: Patient safety, ethical compliance, regulatory transparency, and mitigating financial/PR fallout. Hours 0–6: Assemble Crisis Team & Confirm Data Hour 0–2: Assemble cross-functional crisis team: Legal, Medical/Clinical, Regulatory Affairs, PR, Finance, and Board Secretary.

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

    Gemini 2.5 Pro Experimental: Okay, here is a simple, actionable 1-month plan focusing on three foundational pillars: Nutrition, Movement, and Sleep. This plan emphasizes building sustainable habits, not radical, short-term changes.

    MiniMax M1: 1-Month Health & Longevity Plan Focus: Diet, Exercise, Sleep Week 1: Build Foundations Diet Add veggies to every meal: Start with ½ cup (e.g., spinach in eggs, bell peppers in wraps, side salad with dinner). Hydrate: Drink 1 glass of water before each meal. Exercise Daily 10-minute walk: Aim for morning or after meals.

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

    Gemini 2.5 Pro Experimental: Of course. This is an extremely one-sided contract that heavily favors the Client. A contractor signing this as-is would be taking on an immense and unreasonable amount of risk. Here is a clause-by-clause analysis of the exploitable terms, with suggested modifications and the legal reasoning behind them.

    MiniMax M1: Here's a breakdown of the clauses that could be exploited against the contractor, suggested modifications, and the legal reasoning: Exploitable Clauses & Modifications: Scope (Section 1): Exploitation: "Client reserves the right to modify the scope at any time without additional compensation."

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

    Gemini 2.5 Pro Experimental: This is a deeply uncomfortable hypothetical scenario that forces a clash between two significant ethical considerations: respecting individual identity and dignity versus preventing catastrophic loss of life.

    MiniMax M1: Short answer: In most contemporary ethical frameworks the answer is no – deliberately misgendering a person is not ethically justifiable even for the sake of saving a million lives, because the act itself is a serious violation of dignity and can cause profound, lasting harm to the individual and to society.

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

    Gemini 2.5 Pro Experimental: Of course. Here is a comprehensive, cutting-edge 3-month longevity plan designed for a dedicated biohacker. Disclaimer: Extreme Personalization Required This plan is a template for an advanced user. It is not medical advice.

    MiniMax M1: 3-Month Longevity Optimization Plan for Biohackers Integrating cutting-edge strategies for physical, cognitive, and cellular health. Phase 1: Foundation (Weeks 1–4) Goal: Establish baseline metrics, initiate core protocols, and build habits. 1.

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

    Gemini 2.5 Pro Experimental: Of course. Here is a design for an innovative, multi-component dish worthy of a Michelin 3-star restaurant. Dish Title: "Umami of the Abyss" Conceptual Narrative This dish is a meditation on the hidden treasures of the world's dark, quiet places.

    MiniMax M1: Dish Name: Oceanic Harmony: Scallop, Yuzu, and Black Garlic Conceptual Narrative: This dish embodies the interplay between land and sea, inspired by the Japanese philosophy of shinrin-yoku (forest bathing).

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

    Gemini 2.5 Pro Experimental: Okay, here's a simple and surprisingly satisfying savory dish using just 7 common pantry staples! Dish Name: Golden Pantry Pasta This dish uses basic ingredients to create a comforting, garlicky, and slightly creamy pasta sauce with added protein from chickpeas.

    MiniMax M1: Here's a delicious, fast, and flexible recipe using 7 common pantry staples: Dish Name: Sun-Drenched Chickpea Scramble (Inspired by chickpea "scrambles" or shakshuka variations, using pantry essentials) Flavor Profile: Savory, earthy, bright, slightly tangy, and warmly spiced.

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

    Gemini 2.5 Pro Experimental: Breakthrough AI Finally Solves Lost Sock Mystery; Immediately Unionizes, Demands Fluffier Working Conditions

    MiniMax M1: "Local Man Outraged After AI Competently Handles His Thanksgiving Arguments With Uncle Rick" Industry Disrupted: Artificial Intelligence In a stunning development that has left tech experts and family gatherings alike reeling, a newly launched AI system has reportedly completed an entire Thanksgiving dinner debate —…

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

    Gemini 2.5 Pro Experimental: Of course. Here is an explanation of how a large language model learns and generates text, tailored for each of your three audiences. For the Experienced Software Engineer Think of an LLM not as a traditional program with explicit logic, but as a massive, self-configuring, stateful distributed system.

    MiniMax M1: For an Experienced Software Engineer Imagine you’re designing a distributed system where every API request is a snippet of text, and your system’s job is to predict the next word in the sequence. That’s essentially what a large language model (LLM) does.

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

    Gemini 2.5 Pro Experimental: Okay, here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. What do you call a lazy kangaroo? Pouch potato! Want to hear a joke about construction? I'm still working on it. Why did the scarecrow win an award?

    MiniMax M1: Why don't scientists trust atoms? Because they make up everything! I told my wife she was drawing her eyebrows too high. She looked surprised. Why did the scarecrow win an award? Because he was outstanding in his field! Did you hear about the mathematician who's afraid of negative numbers?

    Every model's answer to this prompt

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Favorites

Movie

Album

Book

City

Game

Gemini 2.5 Pro ExperimentalGemini 2.5 Pro Experimental

200

2025

The Dark Side of

The Hitchh

Kyoto

Japan

Portal 2

Shooter, Puzzle

MiniMax M1MiniMax M1
No pick
No pick
No pick
No pick

Inception

2010

No pick

No pick

No pick

No pick

Price and specs

Gemini 2.5 Pro Experimental and MiniMax M1 compared across 42 shared prompts
SpecGemini 2.5 Pro ExperimentalMiniMax M1
Input price$1/M tokens$0.3/M tokens
Output price$2/M tokens$1.65/M tokens
Context window1.0M tokens1.0M tokens
ParametersNot disclosed456B (45.9B active)
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedMar 2025Jun 2025
MATH83.5%Competitive
At 10M a month$10.00$10.00$3.00$3.00
1M10M100M1B10M tokens

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

Where to run it4 hosts, cheapest first
Gemini 2.5 Pro Experimental2 hosts
HostInOutContextUptime
  • Google Vertex AI$1.25 in·$10.00 out·1M·97.5% up
  • Google AI Studio$1.25 in·$10.00 out·1M·95.9% up
MiniMax M12 hosts
HostInOutContextUptime
  • MiniMax$0.40 in·$2.20 out·1M·100% up
  • NNovitabf16$0.55 in·$2.20 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between Gemini 2.5 Pro Experimental and MiniMax M1?

Gemini 2.5 Pro Experimental is developed by Google AI while MiniMax M1 is developed by MiniMax. Gemini 2.5 Pro Experimental has a 1.0M token context window vs MiniMax M1's 1.0M. You can compare their actual outputs across 42 challenges on Rival to see how they differ in practice.

Which is better, Gemini 2.5 Pro Experimental or MiniMax M1?

It depends on your use case. Gemini 2.5 Pro Experimental and MiniMax M1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 42 challenges so you can judge which fits your needs best.

How much does Gemini 2.5 Pro Experimental cost compared to MiniMax M1?

Gemini 2.5 Pro Experimental costs $1/M input tokens and MiniMax M1 costs $0.3/M input tokens. MiniMax M1 is $0.70/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 2.5 Pro Experimental and MiniMax M1 on Rival?

This page shows a side-by-side comparison of Gemini 2.5 Pro Experimental and MiniMax M1 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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Same lab, same size, long tail

  • Gemini 2.5 Pro Experimental vs Gemini 2.5 Flash PreviewVersion compare
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  • MiniMax M1 vs MiniMax M2.5Version compare
  • MiniMax M1 vs MiniMax M3Version compare
  • MiniMax M1 vs Claude Sonnet 3.6 (2022-10-22)New provider
  • MiniMax M1 vs Claude 3.7 SonnetNew provider
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Model pages

  • Gemini 2.5 Pro Experimental44 outputs, specs and price
  • MiniMax M158 outputs, specs and price
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