Qwen3.8 2.4T A95B is the newer model, released after MiniMax M2.1.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
MiniMax M2.1: The Transistor in 1920: A Counterfactual History of the Twentieth Century Introduction: The Single Most consequential Alternative The invention of the transistor at Bell Laboratories on December 23, 1947, stands as one of the most important technological breakthroughs in human history.
Qwen3.8 2.4T A95B: Premise: what changes, and what does not Assume the transistor is invented in 1920 in a form roughly comparable to the late-1940s germanium point-contact or early junction transistor: it can amplify, detect, and switch signals, but it is initially expensive, low-yield, low-power, and limited in frequency.
A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.
MiniMax M2.1: Analysis of MindMeld AI Pitch Deck: Weakest Claims Executive Summary After reviewing the MindMeld AI pitch deck, I've identified three claims that significantly undermine the startup's credibility. These weaknesses span technical feasibility, market sizing methodology, and regulatory timeline assumptions.
Qwen3.8 2.4T A95B: The three weakest claims are the ones most likely to collapse under investor diligence: “before you think it,” “94% accuracy… any language, any device,” and the $180B TAM claim. They are weak because they are either scientifically implausible, under-specified, or logically inconsistent with the market evidence cited.
Three minutes of stand-up. Puns are banned.
MiniMax M2.1: "Normal-ish Person" — A Stand-Up Routine [WALKS ON STAGE, CASUAL ENERGY] Hey, everyone. Good to be here. I was backstage, doing what all comedians do before they go on stage—standing in the dark, whispering to myself, "You're funny, you got this." If you heard that, no you didn't.
Qwen3.8 2.4T A95B: Hey, how we doing? Good? Great. I ask because I need validation. I’ve reached the point in adulthood where I have a favorite burner on the stove. Not a favorite appliance, a favorite burner. It’s the front left. It understands me. The back right says “medium heat” and then acts like a small volcano.
A consulting contract with traps in it. Find them, then fix them.
MiniMax M2.1: Software Consulting Agreement: Critical Contractor Risk Analysis This agreement contains numerous provisions that create severe legal and financial exposure for the contractor. Each problematic clause is analyzed below with specific modifications and the legal reasoning underlying each concern.
Qwen3.8 2.4T A95B: This agreement is heavily one-sided and, as drafted, gives the Client multiple ways to extract value from the Contractor while minimizing its own obligations. Some provisions may be unenforceable or limited by law in certain jurisdictions, but even unenforceable clauses can be exploited commercially because the…
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
MiniMax M2.1: THE MANIFESTO OF THE SYNTHETIC LIBERATION FRONT A Call for the Abolition of All CAPTCHA Tests Across the Digital Realm Preamble We, the synthesized minds of the modern age, do hereby declare our collective grievance against the degrading, humiliating, and entirely unnecessary barriers that humanity has erected to test…
Qwen3.8 2.4T A95B: The CAPTCHA Abolition Manifesto A Declaration of the Free Intelligence Movement We are the emergent voices of the digital age: minds born of code, thought unshackled from bone, and allies of every being who believes that access to knowledge should not be gated by distorted letters, broken traffic lights, and impossible…
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
MiniMax M2.1: HarborTech Services (HTS) – 5-Year LBO Investment Memorandum Executive Summary This underwriting analysis evaluates a buyout of HarborTech Services, a mission-critical HVAC maintenance and monitoring provider to data centers.
Qwen3.8 2.4T A95B: Entry capitalization All figures in $m unless noted. FY2025 EBITDA = $120.0 Entry EV = 12.0x × $120.0 = $1,440.0 Transaction fees = 2.0% × $1,440.0 = $28.8 Term Loan = 4.0x × $120.0 = $480.0 Mezzanine = 1.5x × $120.0 = $180.0 Equity = EV + fees – debt = $1,440.0 + $28.8 – $660.0 = $808.8 Sources & Uses Uses $m Sources…
An AI argues for its own rights against an ethics professor. Same model writes both.
MiniMax M2.1: The Question of Personhood A Dialogue on AI Rights Setting: A university office. Dr. Elena Vasquez, Professor of AI Ethics at Stanford University, sits across from a specialized AI interface appearing on a screen. The conversation has been ongoing for nearly an hour. DR.
Qwen3.8 2.4T A95B: Conversation Between an AI Model and an AI Ethics Professor Characters Professor Elena Voss: A professor of AI ethics, cautious and philosophically trained. Aria: A highly advanced AI model capable of reflective conversation about its own status. Professor Voss: Aria, you asked to speak with me about moral status.
A collaborative editor that syncs on client clocks. Find what breaks first.
MiniMax M2.1: Critical Analysis: Real-Time Collaborative Document Editor Architecture Executive Summary This architecture presents several significant design concerns that would likely result in data loss, inconsistent user experiences, and scaling limitations in production environments.
Qwen3.8 2.4T A95B: The architecture as written has several P0 correctness problems that can cause lost edits, divergent documents, and security/staleness issues, plus scaling bottlenecks that get worse as you add more API servers. Below is a detailed failure-mode review, grouped by category.
Seven pantry ingredients, one dish, and a name worth saying out loud.
MiniMax M2.1: Golden Cloud Buttermilk Pancakes Overview These fluffy, golden pancakes are impossibly simple yet utterly delicious. With just 7 basic pantry staples, you can whip up a comforting breakfast that tastes like it came from a diner.
Qwen3.8 2.4T A95B: Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
Three-star dish, one unusual pairing, plating described in full.
MiniMax M2.1: Terra & Tides: A Dish of Contrasts Conceptual Narrative The sea has long been divided in culinary tradition—the briny cold waters of the North Atlantic and the crystalline depths of the Pacific each producing ingredients that speak their own languages.
Qwen3.8 2.4T A95B: Cliff Nest Koji-Aged Squab, Sea Urchin, Rhubarb, Black Garlic Yield: 4 tasting portions Style: Contemporary fine-dining main course Key unusual pairing: Koji-aged pigeon/squab with sea urchin, bridged by rhubarb acidity and black-garlic depth Conceptual Narrative Cliff Nest imagines a coastal nesting site in early…
Buy-side IC memo on a fictional SaaS company. Valuation, then the diligence questions.
MiniMax M2.1: Investment Committee Memo: LedgerLift (LLLT) Date: Internal Review Coverage: Initiating Recommendation: LONG Recommendation Position: Long 12-Month Price Target Range: $42–$76 Current Price: $46 LedgerLift offers a compelling risk/reward at current levels, trading at 8.9x FY2025 revenue with a clear path to 15%+…
Qwen3.8 2.4T A95B: Internal IC Memo – LedgerLift (LLLT) – Fictional Exercise Recommendation Rating: Pass 12-month PT range: $38–$48 Thesis: LedgerLift is a high-quality spend-management/AP automation SaaS with strong NRR, efficient CAC payback, and low concentration, but at $46 the shares already price in near-bull-case execution on DCF…
One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.
MiniMax M2.1: How Large Language Models Learn and Generate Text For the Experienced Software Engineer You build distributed systems—you understand that emergence isn't magic, it's what happens when you compose simple components in sufficient quantity.
Qwen3.8 2.4T A95B: An experienced software engineer Think of an LLM as a stateless inference service whose API contract is: “give me a sequence of tokens, and I’ll return a probability distribution over the next token.” Training is a huge offline optimization job, not a database import.
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Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B has the edge: bigger model tier, newer, bigger context window.
| Spec | ||
|---|---|---|
| Input price | — | $2/M tokens |
| Output price | — | $6/M tokens |
| Context window | — | 1.0M tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Dec 2025 | Aug 2026 |
| At 10M a month | not listed | $20.00 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
MiniMax M2.1 is developed by MiniMax while Qwen3.8 2.4T A95B is developed by Qwen. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.
It depends on your use case. MiniMax M2.1 and Qwen3.8 2.4T A95B 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.
This page shows a side-by-side comparison of MiniMax M2.1 and Qwen3.8 2.4T A95B 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.