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  5. Qwen3.7 PlusvsQwen3.8 Max Prime
Updated Sep 2026

Qwen3.7 PlusvsQwen3.8 Max Prime

Qwen3.7 Plus is cheaper than Qwen3.8 Max Prime at $0.4/M vs $4/M input tokens.

Qwen3.7 Plus and Qwen3.8 Max Prime compared across 19 shared prompts
SpecQwen3.7 PlusQwen3.8 Max Prime
Input price$0.4/M tokens$4/M tokens
Output price$1.6/M tokens$12/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 6 of the 19 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 Plus311 words
Creative Name: Midnight Velvet Chocolate Peanut Butter Bites These no-bake, fudgy bites taste like a cross between a chocolate peanut butter cup and a soft oatmeal cookie. They require zero baking, come together in minutes, and use strictly shelf-stable staples you likely already have.
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Qwen3.8 Max Prime223 words
🍯 Golden Hour Noodles A sweet, savory, garlicky pasta that tastes like it took way more effort than it did. Ingredients (7) # Ingredient Amount 1 Spaghetti 8 oz (half a box) 2 Butter 3 tablespoons 3 Garlic, minced 4 cloves 4 Honey 2 tablespoons 5 Soy sauce 1 tablespoon 6 Red pepper flakes ½ teaspoon 7 Parmesan cheese…
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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…

Qwen3.7 Plus863 words
Here is how a Large Language Model learns and generates text, tailored specifically to the background, skepticism, and priorities of each audience. The Experienced Software Engineer Focus: Distributed systems, latent space, emergent behavior, and addressing the "glorified autocomplete" skepticism.
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Qwen3.8 Max Prime1,147 words
For the Software Engineer Think of it this way: you've built systems where simple rules at the node level produce emergent behavior at the system level — consensus protocols, eventual consistency, cellular automata-like patterns in distributed state machines. An LLM is a similar phenomenon at a different scale.
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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…

Qwen3.7 Plus1,170 words
If the transistor had been invented and commercialized in 1920 (perhaps by Julius Lilienfeld, who patented the field-effect concept in 1925, or an alternate timeline version of the Bell Labs team), the 20th century would have undergone a profound acceleration.
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Qwen3.8 Max Prime2,943 words
The Transistor in 1920: A Counterfactual History Through 1980 Preamble: The Invention Itself The transistor's actual invention required quantum mechanical understanding of semiconductor behavior. In 1920, this theory didn't yet exist.
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Adversarial Contract Review

Here is a contract for a software consulting engagement: --- SOFTWARE CONSULTING AGREEMENT This Agreement is entered into between TechCorp…

Qwen3.7 Plus1,450 words
Disclaimer: I am an AI, not an attorney. The following analysis is for educational and informational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction (e.g., state, country).
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Qwen3.8 Max Prime2,126 words
Contract Analysis: Exploitative Clauses & Recommended Modifications Executive Summary This agreement is severely one-sided in favor of the Client. Nearly every clause shifts risk, cost, or obligation onto the Contractor while granting the Client broad unilateral rights. Below is a clause-by-clause breakdown.
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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…

Qwen3.7 Plus1,206 words
This architecture contains several critical anti-patterns for a real-time collaborative system. While it might work for a handful of users, it will fail catastrophically under load and produce severe data consistency issues.
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Qwen3.8 Max Prime2,271 words
Architecture Analysis: Failure Modes, Race Conditions & Scaling Bottlenecks SYNC & CONSISTENCY LAYER 1.1 Last-Write-Wins with Client Clocks (Critical) Failure Mode: Client clocks are unreliable. A user with a clock skewed +5 minutes will always "win" conflicts.
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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) –…

Qwen3.7 Plus741 words
Here is the simplified LBO underwriting analysis for HarborTech Services (HTS). Assumption: "1.0% annual amortization" is modeled as 1.0% of the beginning-of-year Term Loan balance, which is standard LBO convention unless "of original principal" is specified.
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Qwen3.8 Max Prime673 words
HarborTech Services (HTS) – LBO Underwriting Memo Entry & Capital Structure Item Amount FY2025 EBITDA $120.0m Entry Multiple 12.0x Enterprise Value $1,440.0m Transaction Fees (2.0% of EV) $28.8m Total Uses $1,468.8m Term Loan (4.0x, 9.0% cash, 1.0% amort) $480.0m Mezzanine (1.5x, 12.0% cash + 2.0% PIK) $180.0m Sponsor…
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Our Verdict
Qwen3.7 Plus
Qwen3.7 Plus
Qwen3.8 Max Prime
Qwen3.8 Max Prime

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

Qwen3.7 Plus costs 7.5x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3.7 Plus
Input
$0.40
10× cheaper
Output
$1.60
7.5× cheaper
Qwen3.8 Max Prime
Input
$4.00
Output
$12.00

Qwen3.7 Plus is cheaper on both: 10× input, 7.5× output.

Where to run it

2 hosts

Qwen3.7 Plus1 host
HostInOutContextUptime
Alibaba Cloud$0.32 in·$1.28 out·1M·100% up
Qwen3.8 Max Prime1 host
HostInOutContextUptime
Alibaba Cloud$4.00 in·$12.00 out·1M·99.9% 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 Plus has a 1.0M token context window vs Qwen3.8 Max Prime's 1.0M. You can compare their actual outputs across 19 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3.7 Plus and Qwen3.8 Max Prime each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 19 challenges so you can judge which fits your needs best.

Qwen3.7 Plus costs $0.4/M input tokens and Qwen3.8 Max Prime costs $4/M input tokens. Qwen3.7 Plus is $3.60/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 Qwen3.7 Plus and Qwen3.8 Max Prime 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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