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  5. Mercury 2.5vsMiniMax M2.1
Updated Sep 2026

Mercury 2.5vsMiniMax M2.1

Mercury 2.5 is the newer model, released after MiniMax M2.1.

Mercury 2.5 and MiniMax M2.1 compared across 20 shared prompts
SpecMercury 2.5MiniMax M2.1
Input price$0.04/M tokens—
Output price$0.15/M tokens—
Context window260K tokens—
Weights—Open
Free API (OpenRouter)NoNo
ReleasedSep 2026Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 prompts both answered. Formatting stripped, words untouched.

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Mercury 2.5660 words
Inventing the transistor in 1920 would have fundamentally reshaped the 20th century, compressing the digital age by roughly two decades. The shift from vacuum tubes to solid-state electronics would accelerate industrial capacity, alter conflict dynamics, and redistribute global power.
Read the full answer
MiniMax M2.15,764 words
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.
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Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Mercury 2.5403 words
1. Simplified Year-by-Year LBO Model (FY2026–FY2030) Entry Assumptions: Enterprise Value (EV): $120m × 12.0x = $1,440m Transaction Fees: $1,440m × 2.0% = $28.8m Total Debt at Close: $120m × 5.5x = $660m Term Loan: $120m × 4.0x = $480m Mezzanine: $120m × 1.5x = $180m Equity Required: $1,440m (EV) + $28.8m (Fees) − $660m…
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MiniMax M2.11,052 words
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.
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Simple 7-Ingredient Recipe

Create a simple recipe for a delicious dish (sweet or savory) using only 7 common pantry ingredients. Include a creative name for the dish…

Mercury 2.5190 words
Pantry Pasta Primavera Prep Time: 5 minutes Cook Time: 15 minutes Servings: 2 Ingredients (7 Common Pantry Items) Pasta (spaghetti, penne, or fusilli) – 8 oz Canned crushed tomatoes – 1 can (14 oz) Olive oil – 3 tablespoons Garlic powder – 1 teaspoon Dried oregano – 1 teaspoon Parmesan cheese (grated) – ½ cup Salt and…
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MiniMax M2.1398 words
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.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

Mercury 2.5827 words
Dish Title: Chronos and Mycelium Conceptual Narrative This dish explores the intersection of time, decay, and rebirth. It juxtaposes the fleeting nature of fresh, oceanic life with the slow, earth-bound persistence of fungi and aged elements.
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MiniMax M2.14,782 words
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.
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Mercury 2.5544 words
Based on the pitch deck summary, here are the three weakest claims, along with an analysis of their vulnerabilities and concrete suggestions for improvement. The "Pre-Thought" Prediction Claim Claim: "MindMeld AI reads your brainwaves to predict what you want to type before you think it."
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MiniMax M2.11,727 words
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.
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Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Mercury 2.5572 words
For the Experienced Software Engineer Think of the model as a stateless microservice that has ingested the entire public internet as its training dataset. During the training phase, it performs a massive distributed optimization job, adjusting internal weights to minimize a loss function based on next-token prediction.
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MiniMax M2.1707 words
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.
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Our Verdict
Mercury 2.5
Mercury 2.5
MiniMax M2.1
MiniMax M2.1

Not enough votes to call it. On the specs, nothing separates them.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Mercury 2.5
Input
$0.04
Output
$0.15
MiniMax M2.1
Input
—
Output
—
Where to run it

3 hosts

Mercury 2.51 host
HostInOutContextUptime
Inception$0.04 in·$0.15 out·260k·100% up
MiniMax M2.12 hosts
HostInOutContextUptime
MiniMaxfp8$0.30 in·$1.20 out·205k·99.7% upNNovitafp8$0.30 in·$1.20 out·205k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Mercury 2.5 is developed by Inception while MiniMax M2.1 is developed by MiniMax. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. Mercury 2.5 and MiniMax M2.1 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of Mercury 2.5 and MiniMax M2.1 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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