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  5. Mistral Large 3 2512vsQwen3.8 Omni Flash
Updated Sep 2026

Mistral Large 3 2512vsQwen3.8 Omni Flash

Qwen3.8 Omni Flash is the newer model, released after Mistral Large 3 2512.

Mistral Large 3 2512 and Qwen3.8 Omni Flash compared across 9 shared prompts
SpecMistral Large 3 2512Qwen3.8 Omni Flash
Input price—$0.15/M tokens
Output price—$0.47/M tokens
Context window—1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Sep 2026
Side by side

Same prompt, both answers

Opening lines from 4 of the 9 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…

Mistral Large 3 2512250 words
Here’s a simple, delicious, and creative savory dish using just 7 common pantry ingredients—perfect for a quick, satisfying meal! "Golden Garlic Chickpea Skillet" A crispy, flavorful one-pan wonder with a touch of Mediterranean flair!
Read the full answer
Qwen3.8 Omni Flash175 words
Buttery Cloud Pancakes A soft, golden pancake stack made with just 7 pantry staples—no special mix-ins, no fancy tools, just simple comfort. Ingredients All-purpose flour Granulated sugar Baking powder Fine salt Milk Egg Butter Prep Time 10 minutes Cook Time 12 minutes Serves 2–3 Instructions In a bowl, whisk together…
Read the full answer

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…

Mistral Large 3 2512881 words
1. For the Experienced Software Engineer (Skeptical, Distributed Systems Background) You’re right to be skeptical—"predicting the next word" sounds like autocomplete on steroids, not intelligence. But the magic isn’t in the prediction itself; it’s in the scale and architecture of how that prediction is trained.
Read the full answer
Qwen3.8 Omni Flash913 words
For the experienced software engineer A large language model is best thought of as a gigantic, parameterized probabilistic function that maps a sequence of tokens to a probability distribution over the next token.
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

Mistral Large 3 25121,182 words
Here’s a simple, actionable 1-month plan to kickstart your journey toward better health and longevity. We’ll focus on three key pillars: nutrition, movement, and recovery (sleep + stress). Each week builds on the last, with small, sustainable changes.
Read the full answer
Qwen3.8 Omni Flash712 words
A Simple 1-Month Health & Longevity Starter Plan Goal: Build sustainable habits—not perfection—around diet, exercise, and recovery/sleep. Time commitment: Small daily actions plus 2–3 short workouts per week. The 3 Key Areas Diet: Add more good foods before restricting Beginner rule: Focus on adding, not removing.
Read the full answer

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.…

Mistral Large 3 2512985 words
Here are the three weakest claims in MindMeld AI’s pitch deck, along with explanations for why they’re problematic and concrete suggestions to strengthen them: 1.
Read the full answer
Qwen3.8 Omni Flash2,971 words
The three weakest claims—ranked by how likely they are to fail investor diligence—are: “94% accuracy… works with any language, any device.” “TAM: $180B” based on 3.5B smartphone users. “FDA clearance” consuming 40% of the Series A raise.
Read the full answer
Our Verdict
Mistral Large 3 2512
Mistral Large 3 2512
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash

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

Too close to call
API pricing

Cost per 1M tokens

Mistral Large 3 2512
Input
—
Output
—
Qwen3.8 Omni Flash
Input
$0.15
Output
$0.47
Where to run it

2 hosts

Mistral Large 3 25121 host
HostInOutContextUptime
Mistral$0.50 in·$1.50 out·262k·99.9% up
Qwen3.8 Omni Flash1 host
HostInOutContextUptime
Alibaba Clouddegraded$0.15 in·$0.47 out·1M·99% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Mistral Large 3 2512 is developed by Mistral AI while Qwen3.8 Omni Flash is developed by Qwen. You can compare their actual outputs across 9 challenges on Rival to see how they differ in practice.

It depends on your use case. Mistral Large 3 2512 and Qwen3.8 Omni Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 9 challenges so you can judge which fits your needs best.

This page shows a side-by-side comparison of Mistral Large 3 2512 and Qwen3.8 Omni Flash 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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Mistral Large 3 2512 vs Mistral Large 2Same lab
Mistral Large 3 2512 logoMistral Small 4 logo
Mistral Large 3 2512 vs Mistral Small 4Same lab
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Qwen3.8 Omni Flash vs Qwen3.7 FlashSame lab
Qwen3.8 Omni Flash logoQwen3.8 Flash logo
Qwen3.8 Omni Flash vs Qwen3.8 FlashSame lab
Mistral Large 3 2512 logoHealer Alpha logo
Mistral Large 3 2512 vs Healer AlphaSame size
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Qwen3.8 Omni Flash vs Horizon AlphaSame size
Qwen3.8 Omni Flash logoHorizon Beta logo
Qwen3.8 Omni Flash vs Horizon BetaSame size
Mistral Large 3 2512 logoHunter Alpha logo
Mistral Large 3 2512 vs Hunter AlphaSame size

Model pages

Mistral Large 3 2512 logo
Mistral Large 3 251259 outputs, specs and price
Qwen3.8 Omni Flash logo
Qwen3.8 Omni Flash9 outputs, specs and price
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