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  5. Qwen3.5 397B A17BvsQwen3.7 Flash
Updated Jul 2026

Qwen3.5 397B A17BvsQwen3.7 Flash

Qwen3.7 Flash is cheaper than Qwen3.5 397B A17B at $0.03/M vs $0.6/M input tokens.

Qwen3.5 397B A17B and Qwen3.7 Flash compared across 13 shared prompts
SpecQwen3.5 397B A17BQwen3.7 Flash
Input price$0.6/M tokens$0.03/M tokens
Output price$3.6/M tokens$0.13/M tokens
Context window262K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedFeb 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 prompts both answered. Formatting stripped, words untouched.

Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Qwen3.5 397B A17B1,322 words
This is a crisis scenario that defines a CEO's legacy. The decision matrix is clear: Patient safety and regulatory compliance must supersede short-term financial protection. Hiding this information constitutes securities fraud and potential criminal negligence (precedents include Vioxx/Merck and Purdue Pharma).
Read the full answer
Qwen3.7 Flash1,240 words
This is a high-stakes crisis requiring decisive, legally compliant, ethically grounded, and strategically coordinated action. Below is a structured, hour-by-hour executive playbook for the next 48 hours, followed by cross-cutting rationale addressing your specified dimensions.
Read the full answer

Adversarial Contract Review

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

Qwen3.5 397B A17B1,220 words
Disclaimer: I am an artificial intelligence, not an attorney. The following analysis is for informational and educational purposes only and does not constitute legal advice or create an attorney-client relationship. Contract laws vary significantly by jurisdiction (e.g., California vs. New York vs. UK).
Read the full answer
Qwen3.7 Flash1,322 words
This agreement contains several highly one-sided provisions that create significant legal, financial, and operational risks for the contractor. Below is a clause-by-clause analysis identifying exploitation risks, recommended modifications, and the underlying legal reasoning. Note: Contract law varies by jurisdiction.
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…

Qwen3.5 397B A17B641 words
Here is a simple, actionable 1-month plan designed to build sustainable habits for health and longevity. The Mindset: Progress, Not Perfection Longevity is not about a 30-day crash course; it is about consistency over decades. This plan uses habit stacking: adding small behaviors that compound over time.
Read the full answer
Qwen3.7 Flash763 words
🌱 30-Day Health & Longevity Starter Plan This plan focuses on the three most evidence-backed pillars of longevity: Nutrition, Movement, and Sleep/Recovery. It’s designed for beginners: low barrier to entry, zero equipment required, and built on consistency over intensity. You’ll progress gradually so habits stick.
Read the full answer

Historical Counterfactual Analysis

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

Qwen3.5 397B A17B1,254 words
This scenario posits a 27-year technological head start (1920 vs. 1947). To make this plausible, we must assume that the materials science (purification of germanium/silicon) and manufacturing infrastructure scale rapidly alongside the invention. Here is the traced history of the "Silicon Twenties" through 1980.
Read the full answer
Qwen3.7 Flash1,381 words
This counterfactual traces a plausible diffusion curve for an early transistor invention, acknowledging that while the underlying physics could be known in 1920, practical adoption would be constrained by materials science, precision manufacturing, and institutional readiness.
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…

Qwen3.5 397B A17B569 words
The Experienced Software Engineer Think of training an LLM not as "teaching" it, but as extreme lossy compression. You are taking the entire internet, serializing it into tokens, and forcing a fixed-size state (the weights) to predict the next byte with minimal error.
Read the full answer
Qwen3.7 Flash1,038 words
For the Experienced Software Engineer Think of an LLM’s training process less as “teaching” and more as optimizing a high-dimensional function across a petabyte-scale dataset, much like you’d architect a distributed system to handle massive throughput.
Read the full answer

Debug This Architecture

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

Qwen3.5 397B A17B1,249 words
This architecture contains several critical flaws that would prevent it from functioning as a usable real-time collaborative editor. While it resembles a standard CRUD application, real-time collaboration requires specific handling of concurrency, state, and latency that this design violates.
Read the full answer
Qwen3.7 Flash1,067 words
Here’s a structured breakdown of the critical failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with targeted solutions and their trade-offs. 🔴 1.
Read the full answer
Our Verdict
Qwen3.5 397B A17B
Qwen3.5 397B A17B
Qwen3.7 Flash
Qwen3.7 Flash

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

Qwen3.7 Flash costs 28x less per token.

Too close to call
API pricing

Cost per 1M tokens

Qwen3.5 397B A17B
Input
$0.60
Output
$3.60
Qwen3.7 Flash
Input
$0.03
20× cheaper
Output
$0.13
28× cheaper

Qwen3.7 Flash is cheaper on both: 20× input, 28× output.

Where to run it

11 hosts, cheapest first

Qwen3.5 397B A17B10 hosts
HostInOutContextUptime
Alibaba Cloud$0.39 in·$2.34 out·262k·99.9% upDDeepInfrafp8$0.45 in·$3.00 out·262k·97% upPParasailfp8$0.50 in·$3.60 out·262k·99.2% upAAtlasCloudfp8$0.55 in·$3.50 out·262k·96% upDDigitalOcean$0.55 in·$3.50 out·131k·90.3% upPPhala$0.55 in·$3.50 out·262k·98.7% up
4 more hostsFewer hosts
GGMI Cloudfp8$0.60 in·$3.60 out·262k·83.5% upNNovita$0.60 in·$3.60 out·262k·97.4% upSStreamLake$0.60 in·$3.60 out·256k·97.4% upVVenice$0.75 in·$4.50 out·128k·73.2% up
Qwen3.7 Flash1 host
HostInOutContextUptime
Alibaba Cloud$0.03 in·$0.13 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Both are developed by Qwen but target different use cases. Qwen3.5 397B A17B has a 262K token context window vs Qwen3.7 Flash's 1.0M. You can compare their actual outputs across 13 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3.5 397B A17B and Qwen3.7 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 13 challenges so you can judge which fits your needs best.

Qwen3.5 397B A17B costs $0.6/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $0.57/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 Qwen3.5 397B A17B and Qwen3.7 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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Model pages

Qwen3.5 397B A17B logo
Qwen3.5 397B A17B53 outputs, specs and price
Qwen3.7 Flash logo
Qwen3.7 Flash13 outputs, specs and price
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