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  5. Qwen3.7 MaxvsQwen3.8 Omni Flash
Updated Sep 2026

Qwen3.7 MaxvsQwen3.8 Omni Flash

Qwen3.8 Omni Flash is cheaper than Qwen3.7 Max at $0.15/M vs $2.5/M input tokens.

Qwen3.7 Max and Qwen3.8 Omni Flash compared across 9 shared prompts
SpecQwen3.7 MaxQwen3.8 Omni Flash
Input price$2.5/M tokens$0.15/M tokens
Output price$7.5/M tokens$0.47/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMay 2026Sep 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…

Qwen3.7 Max403 words
Crimson Silk Skillet Pasta This rich, comforting, and incredibly velvety pasta dish relies on the magic of emulsifying starchy pasta water with a simple tomato-butter sauce. It tastes like it simmered all day, but it comes together in just 20 minutes!
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…

Qwen3.7 Max761 words
The Experienced Software Engineer To understand how an LLM learns, discard the idea of a traditional database or rules engine; instead, think of training as building a massively distributed, lossy compression algorithm.
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…

Qwen3.7 Max702 words
Here is a simple, actionable 1-month plan designed to build a foundation for long-term health and longevity. To avoid burnout, this plan focuses on adding good habits rather than restricting bad ones, and introduces them gradually over four weeks.
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.…

Qwen3.7 Max704 words
Here is an analysis of the three weakest claims in the MindMeld AI pitch deck, why they will raise immediate red flags for investors, and how to fix them. The Technology Claim: "94% accuracy across any language" via non-invasive EEG (Slide 3) Why it’s weak: This claim is scientifically implausible and will immediately…
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.
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Our Verdict
Qwen3.7 Max
Qwen3.7 Max
Qwen3.8 Omni Flash
Qwen3.8 Omni Flash

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

Qwen3.8 Omni Flash costs 16x less per token.

Too close to call
API pricing

Cost per 1M tokens

Qwen3.7 Max
Input
$2.50
Output
$7.50
Qwen3.8 Omni Flash
Input
$0.15
17× cheaper
Output
$0.47
16× cheaper

Qwen3.8 Omni Flash is cheaper on both: 17× input, 16× output.

Where to run it

2 hosts

Qwen3.7 Max1 host
HostInOutContextUptime
Alibaba Cloud$1.48 in·$4.42 out·1M·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

Both are developed by Qwen but target different use cases. Qwen3.7 Max has a 1.0M 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. Qwen3.7 Max 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.

Qwen3.7 Max costs $2.5/M input tokens and Qwen3.8 Omni Flash costs $0.15/M input tokens. Qwen3.8 Omni Flash is $2.35/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 Qwen3.7 Max 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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