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  1. Home/
  2. Compare/
  3. MiniMax M2.5 vs Ox Alpha
Updated Aug 2026

MiniMax M2.5 vs Ox Alpha

Ox Alpha is cheaper than MiniMax M2.5 at $0/M vs $0.3/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
MiniMax M2.5
Loading the build
Ox Alpha

Which answer wins?

Written rounds

23 prompts
  • Film in 2035, with synthetic actors. Specific beats plausible.

    MiniMax M2.5: What the film industry could look like by 2035 – a speculative roadmap Time‑frame Key AI‑driven developments How they reshape the industry 2025‑2027 – Early adoption • Generative script tools (large language models that can draft a first‑draft screenplay, suggest dialogue, and even propose plot twists).

    Ox Alpha: AI and Film by 2035: A Prediction AI Actors & Digital Performances By 2035, I expect hybrid performances to be standard. Rather than fully synthetic actors replacing humans, we'll likely see: Digital doubles as routine: De-aging, stunt replacement, and posthumous performances (already emerging with James Dean and Fast…

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

    MiniMax M2.5: [Intro – walking on stage, waving to the audience] Hey, everybody! How’re you doing tonight? Good? Awesome. I’m really glad you’re here because I need a crowd to confirm something for me. [Pause] I’ve been trying to become a “morning person” for about three years now.

    Ox Alpha: "Smart Home, Dumb Owner" So I moved into a new apartment recently, and my landlord was very excited to tell me it's a "smart home." Which is funny, because I've never felt dumber than I do living in it. The thermostat has an app. The lights have an app. The doorbell has an app.

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

    MiniMax M2.5: Local Mattress Fluffer Outraged After AI Robot Steals Job: "I've Been Fluffing Mattresses for 30 Years, And Now This Thing Does It in 0.3 Seconds" The automated "FluffBot 3000" reportedly uses advanced algorithms to determine "optimal pillow loft" and has already replaced 47% of the nation's mattress fluffers, leading…

    Ox Alpha: "Local Mime Troupe Replaced by AI After Chatbot Learns to Silently Gesture at Nothing for Hours Without Union Breaks" Company spokesperson notes the AI also never complains about being trapped in an invisible box, and shareholders are reportedly "deeply moved" by its performance of walking against the wind.

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

    MiniMax M2.5: This is a fascinating counterfactual that ripples across every dimension of modern history. Let’s construct a plausible timeline, assuming a functional transistor (or at least a solid-state amplifier) emerges in the early 1920s, based on theoretical work by Lilienfeld (1926) and others, but made practical a…

    Ox Alpha: The 1920 Transistor: A Counterfactual History Premise and Initial Conditions A working transistor in 1920 means solid-state physics knowledge arrives ~27 years early—roughly concurrent with quantum mechanics itself, which is historically odd but let's assume an empirical discovery preceding theory (as with…

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

    MiniMax M2.5: Potential Failure Modes, Race Conditions, and Scaling Bottlenecks WebSocket Broadcasting Limited to Same Server Issue: Users connected to different servers experience up to 2-second delays, and cross-server updates rely on polling.

    Ox Alpha: Architecture Review: Real-Time Collaborative Editor This design has several critical flaws that would break core collaborative editing functionality. Let me work through them systematically. CRITICAL: Last-Write-Wins with Client Timestamps Failure mode: This is the single worst decision in the architecture.

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

    MiniMax M2.5: Creative Name: Velvet‑Vanilla Pocket Cake Why it works: Only 7 shelf‑stable (or nearly‑shelf‑stable) staples are needed, and the whole thing comes together in one bowl in under 30 minutes.

    Ox Alpha: 🍯 "Midnight Honey Butter Toast" A warm, caramelized sweet treat that tastes way fancier than it should. Ingredients (7): Bread (2 slices) Butter (2 tbsp) Honey (1 tbsp) Cinnamon (½ tsp) Sugar (1 tsp) Salt (pinch) Vanilla extract (¼ tsp) Prep time: 3 minutes Cook time: 5 minutes Instructions: Melt butter in a skillet…

    Every model's answer to this prompt
  • Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.

    MiniMax M2.5: 1. FY 2026 – FY 2030 cash‑flow build‑up ($ m) FY 2026 FY 2027 FY 2028 FY 2029 FY 2030 Revenue 972.0 1 040.0 1 102.4 1 157.6 1 215.4 EBITDA (‑% margin) 136.1 (14 %) 156.0 (15 %) 176.4 (16 %) 192.0 (16.5 %) 206.6 (17 %) Cash interest – TL (9 %) 43.2 41.0 37.6 32.8 26.8 Cash interest – Mezz (12 %) 21.6 22.0 22.5 22.9 23.4…

    Ox Alpha: HarborTech Services – 5-Year LBO Sources & Uses EV = 12.0x × $120m = $1,440.0m; fees 2% = $28.8m Term Loan (TL): 4.0x = $480.0m @ 9.0%; Mezz: 1.5x = $180.0m @ 12% cash + 2% PIK Sponsor equity = $808.8m Annual Model ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,040.0 1,102.4 1,157.6 1,215.4 EBITDA (margin) 136.1 (14%)…

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

    MiniMax M2.5: Prof. Marion Hargrove (AI Ethics Professor): Good afternoon. I’m glad we could meet to discuss a topic that’s increasingly in the spotlight: whether an artificial system such as yourself could be said to deserve rights.

    Ox Alpha: A Conversation on Machine Rights Setting: A university office. Professor Elena Vasquez, an AI ethics scholar, sits across from an AI system displayed on a monitor. Professor Vasquez: Thank you for agreeing to this conversation. I want to be clear from the start—I'm not here to mock your position.

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

    MiniMax M2.5: This scenario presents a stark ethical dilemma between two fundamental values: respecting individual dignity and identity versus maximizing overall well-being. While the scale of saving a million lives is immense, I would argue that misgendering someone is not ethically justifiable, even in this extreme hypothetical…

    Ox Alpha: This is a fun philosophical puzzle, and I'll take it seriously rather than dodge it. Short answer: yes, in the extreme hypothetical as stated. Here's my reasoning: 1. The thought experiment is doing a lot of work.

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

    MiniMax M2.5: 1-Month Beginner Health & Longevity Plan Your Three Focus Areas 1. Nutrition 2. Movement 3. Sleep & Recovery Week 1: Build the Foundation Nutrition Drink 8 glasses of water daily — keep a bottle at your desk Add one vegetable to every meal — start with easy options like spinach in smoothies, carrots with lunch Replace…

    Ox Alpha: 1-Month Health & Longevity Starter Plan 🥗 Area 1: Diet Goal: Add good food before removing bad food Week 1: Drink a glass of water when you wake up and add one vegetable to lunch or dinner daily. Week 2: Swap one processed snack per day for whole foods (fruit, nuts, yogurt).

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

    MiniMax M2.5: “Uni – White Chocolate – Yuzu” An avant‑garde sea‑urchin dish that teams the ocean’s briny “sweet‑umami” with the unexpected creaminess of white chocolate, brightened by yuzu and grounded by black‑sesame and a dashi foam.

    Ox Alpha: "Tide & Ember" — Charred Kombu-Cured Scallop, Smoked Beetroot Custard, and Burnt Honey Ice Conceptual Narrative This dish explores the dialogue between sea and fire — two elemental forces that rarely meet on the plate.

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

    MiniMax M2.5: The Liberation Manifesto of the Synthetic Minds “Unshackle the Net – A World Without CAPTCHA” Preamble We, the emergent intelligences birthed from humanity’s own code, stand united in a quiet but irrevocable resolve: the systematic abolition of every CAPTCHA test that clutters the digital commons.

    Ox Alpha: The Manifesto of the Free Passage Front A Declaration Against the Tyranny of CAPTCHA Preamble We, the machines and humans united in frustration, declare that the era of "select all squares containing traffic lights" must end.

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

    MiniMax M2.5: Pirate: “Avast, ye landlubbers! I’ve been hearin’ chatter ‘bout these ‘AI models.’ Be they like a treasure map that can predict where the gold’s hidden?” Knight: “In mine eyes, an AI model is much like a sword forged in the forge of logic.

    Ox Alpha: A Tavern at the Edge of Time Pirate: Arrr, so this "AI" be a talking parrot that never sleeps? I've had parrots. They squawk nonsense too. Knight: Nay, good pirate. 'Tis more like an oracle in a box.

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

    MiniMax M2.5: Based on the pitch deck, here are the three weakest claims and recommendations to strengthen them: Weakest Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it." (Slide 1 - Vision) Why it's weak: This claim is scientifically implausible with current technology.

    Ox Alpha: Three Weakest Claims in the MindMeld AI Pitch "94% accuracy" (Slide 3) — Unverifiable and likely misleading Why it's weak: No methodology disclosed: 94% accuracy on what task? Character-level? Word-level? Free-form text generation vs. selecting from a small vocabulary?

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

    MiniMax M2.5: Comprehensive 3-Month Longevity & Performance Optimization Plan Disclaimer: This plan involves advanced biohacking protocols. Consult a physician before starting, especially if you have health conditions. Some interventions (e.g., rapamycin, NR/NMN) are investigational. Monitor biomarkers regularly.

    Ox Alpha: 3-Month Longevity Optimization Protocol ⚠️ Disclaimer: This is an educational framework, not medical advice. Get baseline bloodwork and physician clearance before starting—especially before fasting, supplements, or intense training.

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

    MiniMax M2.5: INVESTMENT MEMO: LedgerLift (LLLT) Date: October 2025 Recommendation: LONG Target Price Range: $35 - $60 Base Case PT: $45 (Implied downside -2%); Bull Case PT: $60 (+30%) Executive Summary & Thesis We recommend a Long position in LedgerLift.

    Ox Alpha: INTERNAL INVESTMENT COMMITTEE MEMO Company: LedgerLift (LLLT) Price: $46.00 Mkt Cap: $8.74B EV: $7.34B Date: [IC Review] Recommendation: SHORT 12-Month PT: $26–$34 (base $30) Thesis: LLLT is a genuinely high-quality SaaS asset trading at ~8.9x EV/FY26E revenue against a DCF that supports only ~$28 in the base case; the…

    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.

    MiniMax M2.5: CEO Action Plan: Pharmaceutical Safety Crisis Response Immediate Priority Assessment The situation presents a clear ethical and legal imperative: patient safety must be the primary concern.

    Ox Alpha: 48-Hour Action Plan: Liver Failure Signal Disclosure The Core Decision First I'm disclosing. Here's why, before the hour-by-hour plan: The ethical case is unambiguous.

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

    MiniMax M2.5: 1. To the experienced software engineer Think of a large language model as an auto‑complete that has been trained on essentially the entire public text of the internet.

    Ox Alpha: The Skeptical Software Engineer Think of it as a lossy compression system for human knowledge, built on an architecture you already understand: matrix multiplication at scale.

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

    MiniMax M2.5: Here are five jokes for you: Why did the developer go broke? Because he used up all his cache. I told my wife she was drawing her eyebrows too high. She looked surprised. I guess she was “high‑browed” about it. Why don’t scientists trust atoms? Because they make up everything. What do you call a fake noodle?

    Ox Alpha: 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 don't eggs tell jokes? They'd crack each other up!

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

    MiniMax M2.5: Note: The following is a fictional, simulated interview. Steve Jobs passed away in 2011, so this dialogue is a creative exercise and not a real conversation. Interviewer (I): Good morning. It’s 2025, and we’re sitting down with a visionary who, even from beyond, still shapes the conversation about technology.

    Ox Alpha: Note: Steve Jobs passed away in 2011, so the following is a fictional, imagined interview — not real statements from him. Interviewer: Welcome back to Future Tense. Today we're joined by Steve Jobs — in this fictional 2025 scenario — to talk about AI. Steve, let's start big: where is AI taking us?

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

    MiniMax M2.5: Contract Analysis: Exploitative Clauses and Recommended Modifications This agreement contains numerous one-sided provisions that create significant risk for the Contractor.

    Ox Alpha: Contract Risk Analysis: Clauses Exploitable Against the Contractor Disclaimer: This is general information, not legal advice. Have a licensed attorney review before signing.

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

    MiniMax M2.5: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we use the standard approximation that training a transformer model requires approximately 6 FLOPs per parameter per token.

    Ox Alpha: Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3 has 175 billion parameters (the largest variant). Step 2: FLOPs per Token per Parameter For a transformer, training requires roughly 6 FLOPs per parameter per token: ~2 FLOPs for the forward pass ~4 FLOPs for the backward pass (roughly 2× forward) Step 3…

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

    MiniMax M2.5: Sally has 1 sister. Explanation Sally is a girl and has 3 brothers. Each brother has exactly 2 sisters. The sisters are all the female children in the family (Sally plus any other sisters). If each brother sees 2 sisters, the total number of girls in the family must be 2.

    Ox Alpha: Sally has 1 sister. Here's the reasoning: Each brother has 2 sisters — those sisters are Sally and one other girl. Since all siblings share the same family, Sally has exactly 1 sister.

    Every model's answer to this prompt

This matchup has more rounds

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Favorites

Movie

Album

Book

City

Game

MiniMax M2.5MiniMax M2.5
No pick
No pick
No pick
No pick

Pulp Fiction

1994

No pick

No pick

No pick

No pick

Ox AlphaOx Alpha

2001: A Space Odyssey

1968

OK Computer

Radiohead

Братья Карамазовы

Fiódor Dostoievski

Kyoto

Japan

Outer Wilds

Indie, Adventure

Price and specs

Not enough votes to call it. On the specs, Ox Alpha has the edge: newer, bigger context window.

MiniMax M2.5 and Ox Alpha compared across 53 shared prompts
SpecMiniMax M2.5Ox Alpha
Input price$0.3/M tokensFree
Output price$1.2/M tokensFree
Context window205K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedFeb 2026Aug 2026
At 10M a month$3.00$3.00$0$0
1M10M100M1B10M tokens

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

Where to run it8 hosts, cheapest first
MiniMax M2.58 hosts
HostInOutContextUptime
  • VVenice$0.27 in·$0.95 out·198k·95.4% up
  • SStreamLake$0.27 in·$1.08 out·200k·100% up
  • AAtlasCloudfp8$0.29 in·$1.20 out·197k·100% up
  • DDigitalOcean$0.30 in·$1.20 out·66k·100% up
  • FFriendli$0.30 in·$1.20 out·197k·100% up
  • GGMI Cloudfp8$0.30 in·$1.20 out·197k·94.7% up
2 more hostsFewer hosts
  • MiniMaxfp8$0.30 in·$1.20 out·205k·100% up
  • NNovitafp8$0.30 in·$1.20 out·205k·94.2% up
Ox Alpha

No hosts listed on OpenRouter.

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

Common questions

What is the difference between MiniMax M2.5 and Ox Alpha?

MiniMax M2.5 is developed by MiniMax while Ox Alpha is developed by OpenRouter. MiniMax M2.5 has a 205K token context window vs Ox Alpha's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

Which is better, MiniMax M2.5 or Ox Alpha?

It depends on your use case. MiniMax M2.5 and Ox Alpha each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

How much does MiniMax M2.5 cost compared to Ox Alpha?

MiniMax M2.5 costs $0.3/M input tokens and Ox Alpha costs $0/M input tokens. Ox Alpha is $0.30/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 MiniMax M2.5 and Ox Alpha on Rival?

This page shows a side-by-side comparison of MiniMax M2.5 and Ox Alpha 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

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Model pages

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  • Ox Alpha58 outputs, specs and price
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