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  5. MiMo-V2-OmnivsMistral Large 2
Updated Mar 2026

MiMo-V2-OmnivsMistral Large 2

MiMo-V2-Omni is cheaper than Mistral Large 2 at $0.4/M vs $8/M input tokens.

MiMo-V2-Omni and Mistral Large 2 compared across 23 shared prompts
SpecMiMo-V2-OmniMistral Large 2
Input price$0.4/M tokens$8/M tokens
Output price$2/M tokens$24/M tokens
Context window262K tokens128K tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedMar 2026Jul 2024
Side by side

Same prompt, both answers

Opening lines from 6 of the 23 prompts both answered. Formatting stripped, words untouched.

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…

MiMo-V2-Omni227 words
🍝 Sunset Pasta A quick, vibrant dish that tastes like a cozy evening on a summer porch. Time: Prep 10 min Cook 15 min Serves: 2 Ingredients (7 pantry staples) Spaghetti or any pasta (8 oz / 225g) Canned crushed tomatoes (1 can, 14 oz / 400g) Garlic (3 cloves, minced) Olive oil (2 tbsp) Salt (to taste) Black pepper (to…
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Mistral Large 2344 words
Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—no fresh produce required! "Golden Crispy Chickpea & Tomato Skillet" A warm, spiced, and satisfying one-pan dish with crispy chickpeas, tangy tomatoes, and a hint of smoky sweetness. Perfect as a side, snack, or light meal!
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Historical Counterfactual Analysis

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

MiMo-V2-Omni1,005 words
Excellent question. This is a profound counterfactual that would rewrite the 20th century. Let's trace the implications, keeping in mind that the transistor's invention wasn't just a new device—it was the key that unlocked the information age. An earlier start accelerates everything built upon it.
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Mistral Large 22,069 words
The invention of the transistor in 1920—nearly three decades earlier than its actual debut in 1947—would have triggered a cascade of technological, economic, and geopolitical shifts with profound second- and third-order effects. Below is a detailed exploration of these implications through 1980, structured by domain.
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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…

MiMo-V2-Omni951 words
Of course. Here are three tailored explanations of how large language models learn and generate text. For the Experienced Software Engineer Think of training a large language model not as teaching it rules, but as building an incredibly sophisticated, lossy compression algorithm for the entire public internet and a…
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Mistral Large 21,223 words
1. For the Experienced Software Engineer (Skeptical, Systems-Minded, Non-ML Background) You’re right to be skeptical—"predicting the next word" sounds trivial, like autocomplete on steroids. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

MiMo-V2-Omni450 words
(Adjusts mic, looks around with a friendly smile) Hey everyone! How we doing tonight? Good? Good. I’ve been trying to be more “present” lately. You know, put my phone away, look at the world. It’s terrifying. The world is in 4K with no filter.
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Mistral Large 2351 words
Alright, good evening everybody! How are we all doing tonight? Yeah? Yeah? nobody's gonna say 'bad'? Ok, fair enough. You know, I was walking down the street the other day, and I saw this sign outside a shop that said, "Wet Paint." I thought, "Well, that's weird. Isn't paint supposed to be wet?
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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…

MiMo-V2-Omni815 words
"Moonlit Tidal Pool" A Meditation on the Sea at Night Conceptual Narrative This dish explores the liminal space where the ocean meets the shore under moonlight—capturing the briny depth of the sea, the mineral whisper of tidal rocks, and the ephemeral glow of bioluminescence.
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Mistral Large 21,368 words
Michelin 3-Star Dish: "Ocean’s Whisper & Forest’s Breath" Conceptual Narrative: This dish is a poetic dialogue between two seemingly disparate ecosystems—the ocean’s depths and the forest floor—united through texture, temperature, and memory.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

MiMo-V2-Omni731 words
Architecture Analysis: Real-Time Collaborative Document Editor Critical Issues Identified 1. Conflict Resolution & Data Consistency Issue: Last-write-wins with client timestamps is fundamentally flawed Clock skew: Client clocks can differ by minutes, causing incorrect conflict resolution Network latency: Changes…
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Mistral Large 21,132 words
Here’s a comprehensive analysis of potential failure modes, race conditions, and scaling bottlenecks in this architecture, along with proposed solutions and their trade-offs: 1.
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Our Verdict
MiMo-V2-Omni
MiMo-V2-Omni
Mistral Large 2
Mistral Large 2Runner-up

Not enough votes to call it. On the specs, MiMo-V2-Omni has the edge: newer, bigger context window.

MiMo-V2-Omni costs 12x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

MiMo-V2-Omni
Input
$0.40
20× cheaper
Output
$2.00
12× cheaper
Mistral Large 2
Input
$8.00
Output
$24.00

MiMo-V2-Omni is cheaper on both: 20× input, 12× output.

Where to run it

1 host

MiMo-V2-Omni

No hosts listed on OpenRouter.

Mistral Large 21 host
HostInOutContextUptime
Mistral$2.00 in·$6.00 out·131k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
67%

MiMo-V2-Omni uses 10.2x more transitions

MiMo-V2-Omni
Mistral Large 2
59%Vocabulary43%
23wSentence Length21w
0.72Hedging0.39
7.2Bold14.4
3.6Lists7.4
0.26Emoji0.80
1.25Headings1.41
0.10Transitions0.01
Based on 23 + 10 text responses
Research

What we learned reading every model

FAQ

Common questions

MiMo-V2-Omni is developed by Xiaomi while Mistral Large 2 is developed by Mistral AI. MiMo-V2-Omni has a 262K token context window vs Mistral Large 2's 128K. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.

It depends on your use case. MiMo-V2-Omni and Mistral Large 2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 23 challenges so you can judge which fits your needs best.

MiMo-V2-Omni costs $0.4/M input tokens and Mistral Large 2 costs $8/M input tokens. MiMo-V2-Omni is $7.60/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 MiMo-V2-Omni and Mistral Large 2 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.

Keep exploring

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Same lab, same size, long tail

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Model pages

MiMo-V2-Omni logo
MiMo-V2-Omni53 outputs, specs and price
Mistral Large 2 logo
Mistral Large 223 outputs, specs and price
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