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  5. MiniMax M2-hervsQwen3.8 Omni Flash
Updated Sep 2026

MiniMax M2-hervsQwen3.8 Omni Flash

Qwen3.8 Omni Flash is cheaper than MiniMax M2-her at $0.15/M vs $0.3/M input tokens.

MiniMax M2-her and Qwen3.8 Omni Flash compared across 9 shared prompts
SpecMiniMax M2-herQwen3.8 Omni Flash
Input price$0.3/M tokens$0.15/M tokens
Output price$1.2/M tokens$0.47/M tokens
Context window66K tokens1.0M tokens
Weights—Closed
Free API (OpenRouter)NoNo
ReleasedJan 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 4 of the 9 prompts both answered. Formatting stripped, words untouched.

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…

MiniMax M2-her67 words
The user wants a basic 1-month plan for better health and longevity. Let's think step by step. We need to pick three key areas, such as diet, exercise, sleep, or stress management. For each area, we can include specific, beginner-friendly tips. Let's start with nutrition, then physical activity, and sleep.
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.…

MiniMax M2-her426 words
Let's analyze this pitch deck step by step and identify the weakest claims, with justifications and suggestions for improvement. Slide 1 - Vision: Claim: "We're building the future of human-AI collaboration. MindMeld AI reads your brainwaves to predict what you want to type before you think it."
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

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…

MiniMax M2-her34 words
Okay, I'd love to help you create a simple recipe. Before I do, could you tell me a few ingredients you'd be happy to use? That'll help me come up with something you'll enjoy.
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…

MiniMax M2-her1,861 words
For the Experienced Software Engineer: Large language models learn by training on vast amounts of text data to predict the next word in a sequence. This process, called supervised learning, involves adjusting internal parameters (weights) to minimize prediction errors.
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
Our Verdict
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash
MiniMax M2-her
MiniMax M2-herRunner-up

Not enough votes to call it. On the specs, Qwen3.8 Omni Flash has the edge: newer, bigger context window.

Too close to call
API pricing

Cost per 1M tokens

MiniMax M2-her
Input
$0.30
Output
$1.20
Qwen3.8 Omni Flash
Input
$0.15
2.0× cheaper
Output
$0.47
2.6× cheaper

Qwen3.8 Omni Flash is cheaper on both: 2.0× input, 2.6× output.

Where to run it

2 hosts

MiniMax M2-her1 host
HostInOutContextUptime
MiniMax$0.30 in·$1.20 out·66k·100% 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

MiniMax M2-her is developed by MiniMax while Qwen3.8 Omni Flash is developed by Qwen. MiniMax M2-her has a 66K token context window vs Qwen3.8 Omni Flash's 1.0M. You can compare their actual outputs across 9 challenges on Rival to see how they differ in practice.

It depends on your use case. MiniMax M2-her 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.

MiniMax M2-her costs $0.3/M input tokens and Qwen3.8 Omni Flash costs $0.15/M input tokens. Qwen3.8 Omni Flash is $0.15/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 MiniMax M2-her 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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