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  5. DeepSeek V3.2vsQwen3.7 Flash
Updated Jul 2026

DeepSeek V3.2vsQwen3.7 Flash

Qwen3.7 Flash is cheaper than DeepSeek V3.2 at $0.03/M vs $0.28/M input tokens.

DeepSeek V3.2 and Qwen3.7 Flash compared across 13 shared prompts
SpecDeepSeek V3.2Qwen3.7 Flash
Input price$0.28/M tokens$0.03/M tokens
Output price$0.42/M tokens$0.13/M tokens
Context window131K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 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…

DeepSeek V3.2171 words
Honey-Lemon Glazed Carrot Coins Sweet, tangy, and simple—perfect as a side dish or snack! Ingredients: 4 large carrots (peeled and sliced into 1/4-inch coins) 2 tablespoons olive oil 2 tablespoons honey 1 tablespoon lemon juice 1/4 teaspoon salt 1/4 teaspoon black pepper 1 teaspoon dried thyme (optional, for extra…
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Qwen3.7 Flash332 words
🥔 Golden Crunch Smash-Roasted Potatoes A crowd-pleasing side dish that delivers maximum crispiness with minimal effort. By boiling then smashing the potatoes before roasting, you create a shatteringly crisp crust while keeping the inside fluffy. This recipe relies on just seven pantry staples for perfect flavor.
Read the full answer

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…

DeepSeek V3.2609 words
Hour 0–4 (Immediate Actions) Secure all data Direct the research team to compile the complete dataset, methodology, and evidence into a confidential briefing document. Ensure legal counsel reviews it for attorney-client privilege where applicable.
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

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…

DeepSeek V3.2517 words
Here’s a simple, actionable 1-month plan focused on diet, exercise, and sleep to kickstart your journey toward better health and longevity: Week 1: Build Foundations Diet Start with hydration: Drink 2 liters of water daily. Carry a water bottle to track intake.
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…

DeepSeek V3.21,224 words
Excellent question. Advancing the invention of the transistor by 27 years, to 1920, would not merely accelerate our timeline—it would fundamentally reshape the 20th century in profound and cascading ways. Here is a trace of the likely implications through 1980.
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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.
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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…

DeepSeek V3.2895 words
1. For the Experienced Software Engineer Think of a large language model as the ultimate compression algorithm for human knowledge and communication patterns, built via a statistical learning process rather than explicit code.
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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.
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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…

DeepSeek V3.21,288 words
This contract is heavily one-sided and contains numerous clauses that expose the Contractor to significant, potentially catastrophic, legal and financial risk. Here is a breakdown of the problematic clauses, suggested modifications, and legal reasoning. Clauses That Could Be Exploited & Recommended Modifications 1.
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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.
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Our Verdict
DeepSeek V3.2
DeepSeek V3.2
Qwen3.7 Flash
Qwen3.7 Flash

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

Qwen3.7 Flash costs 3.2x less per token.

Too close to call
API pricing

Cost per 1M tokens

DeepSeek V3.2
Input
$0.28
Output
$0.42
Qwen3.7 Flash
Input
$0.03
9.3× cheaper
Output
$0.13
3.2× cheaper

Qwen3.7 Flash is cheaper on both: 9.3× input, 3.2× output.

Where to run it

16 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·99.6% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.6% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.5% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·96.9% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.5% upVVenice$0.27 in·$0.39 out·160k·98.9% up
9 more hostsFewer hosts
NNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·98.9% upDDigitalOcean$0.30 in·$0.96 out·164k·99.2% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·98.7% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99% upPPhala$1.00 in·$1.00 out·164k·99.3% upMMara$3.00 in·$4.50 out·33k·91.2% upSSambaNova$3.00 in·$4.50 out·33k·96.9% 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 22 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.2 is developed by DeepSeek while Qwen3.7 Flash is developed by Qwen. DeepSeek V3.2 has a 131K 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. DeepSeek V3.2 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.

DeepSeek V3.2 costs $0.28/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $0.25/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 DeepSeek V3.2 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

DeepSeek V3.2 logo
DeepSeek V3.259 outputs, specs and price
Qwen3.7 Flash logo
Qwen3.7 Flash13 outputs, specs and price
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