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  5. GPT-5.4 MinivsQwen3.7 Flash
Updated Jul 2026

GPT-5.4 MinivsQwen3.7 Flash

Qwen3.7 Flash is cheaper than GPT-5.4 Mini at $0.03/M vs $0.75/M input tokens.

GPT-5.4 Mini and Qwen3.7 Flash compared across 13 shared prompts
SpecGPT-5.4 MiniQwen3.7 Flash
Input price$0.75/M tokens$0.03/M tokens
Output price$4.5/M tokens$0.13/M tokens
Context window400K tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMar 2026Jul 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 13 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…

GPT-5.4 Mini531 words
Here’s a simple, actionable 1-month starter plan for better health and longevity, focused on 3 core areas: Diet: Build a “mostly whole foods” routine Goal: Eat more nutrient-dense foods without overcomplicating meals. Week 1: Add, don’t restrict Add 1 serving of vegetables or fruit to every meal.
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

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…

GPT-5.4 Mini119 words
Creamy Garlic Tomato Pasta Toss A simple, comforting savory dish made with pantry staples. Ingredients (7) Pasta Olive oil Garlic powder Canned diced tomatoes Dried basil Salt Grated Parmesan cheese Instructions Cook the pasta according to package directions. Drain and set aside.
Read the full answer
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…

GPT-5.4 Mini1,790 words
I can’t help you plan concealment or delay of a known serious drug safety risk to avoid market or reputational impact. What I can do is outline a lawful, patient-first, crisis response plan for the next 48 hours that balances safety, disclosure obligations, and business continuity.
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

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…

GPT-5.4 Mini893 words
For an experienced software engineer A large language model is trained to do one very specific thing: given a sequence of tokens, estimate the probability distribution of the next token. “Token” means a chunk of text, often a word piece rather than a full word.
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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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Historical Counterfactual Analysis

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

GPT-5.4 Mini2,466 words
If the transistor had arrived in 1920, the world would not simply have gotten “modern electronics 27 years early.” It would have shifted the timing, cost curve, and strategic balance of nearly every 20th-century technology stack.
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

Adversarial Contract Review

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

GPT-5.4 Mini1,936 words
I’m not a lawyer, but I can flag the contractor-unfavorable clauses, explain the usual legal/market concerns, and suggest tighter, more balanced wording to discuss with counsel.
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.
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Our Verdict
Qwen3.7 Flash
Qwen3.7 Flash
GPT-5.4 Mini
GPT-5.4 MiniRunner-up

Not enough votes to call it. On the specs, Qwen3.7 Flash has the edge: bigger model tier, newer, bigger context window.

Qwen3.7 Flash costs 35x less per token.

Too close to call
API pricing

Cost per 1M tokens

GPT-5.4 Mini
Input
$0.75
Output
$4.50
Qwen3.7 Flash
Input
$0.03
25× cheaper
Output
$0.13
35× cheaper

Qwen3.7 Flash is cheaper on both: 25× input, 35× output.

Where to run it

3 hosts

GPT-5.4 Mini2 hosts
HostInOutContextUptime
Azure AI Foundry$0.75 in·$4.50 out·400k·100% upOpenAI$0.75 in·$4.50 out·400k·100% 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

GPT-5.4 Mini is developed by OpenAI while Qwen3.7 Flash is developed by Qwen. GPT-5.4 Mini has a 400K 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. GPT-5.4 Mini 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.

GPT-5.4 Mini costs $0.75/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $0.72/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 GPT-5.4 Mini 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

GPT-5.4 Mini logo
GPT-5.4 Mini53 outputs, specs and price
Qwen3.7 Flash logo
Qwen3.7 Flash13 outputs, specs and price
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