Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. GPT-6 AstravsQwen3.7 Flash
Updated Sep 2026

GPT-6 AstravsQwen3.7 Flash

Qwen3.7 Flash is cheaper than GPT-6 Astra at $0.03/M vs $10/M input tokens.

GPT-6 Astra and Qwen3.7 Flash compared across 13 shared prompts
SpecGPT-6 AstraQwen3.7 Flash
Input price$10/M tokens$0.03/M tokens
Output price$50/M tokens$0.13/M tokens
Context window1.1M tokens1.0M tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 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…

GPT-6 Astra200 words
Cinnamon Hug Cookies Buttery cookies with crisp edges, soft centers, and a cozy cinnamon flavor. Makes: About 20 cookies Prep: 10 minutes Cook: 10–12 minutes per batch Ingredients — exactly 7 1½ cups all-purpose flour ¾ cup granulated sugar, divided ½ cup salted butter, softened 1 large egg 1 teaspoon vanilla extract ½…
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

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-6 Astra459 words
A simple 1-month plan for better health Focus on food, movement, and sleep. The goal is to build habits you can sustain—not to overhaul your life in four weeks. These habits support long-term health, but no routine guarantees longevity. Week 1: Start small Food Add a fruit or vegetable to two meals each day.
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…

GPT-6 Astra1,967 words
A transistor invented in 1920 would probably bring the electronics age forward—but not uniformly by 27 years. The first gains would be smaller, more reliable radios and control systems. Computers, integrated circuits, and space systems would follow only when other prerequisites caught up.
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

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-6 Astra1,864 words
I would act on the safety signal now—not wait six months, and not let the expected stock-price decline determine whether patients and clinicians learn about it. That does not mean declaring causation proven or automatically withdrawing the drug.
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

Debug This Architecture

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

GPT-6 Astra2,505 words
This design can support a collaborative-editor prototype, but its current consistency model will lose edits, its cross-server propagation will produce inconsistent views, and its persistence and caching choices create durability and security risks.
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

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-6 Astra989 words
For an experienced software engineer Think of a large language model as a program with an enormous array of tunable parameters rather than explicitly written rules. Training text is broken into tokens—word fragments, punctuation, and other units—and the model learns to predict each token from the preceding ones.
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
Our Verdict
GPT-6 Astra
GPT-6 Astra
Qwen3.7 Flash
Qwen3.7 FlashRunner-up

Not enough votes to call it. On the specs, GPT-6 Astra has the edge: bigger model tier, newer, major provider backing.

Qwen3.7 Flash costs 385x less per token.

Slight edge
API pricing

Cost per 1M tokens

GPT-6 Astra
Input
$10.00
Output
$50.00
Qwen3.7 Flash
Input
$0.03
333× cheaper
Output
$0.13
385× cheaper

Qwen3.7 Flash is cheaper on both: 333× input, 385× output.

Where to run it

4 hosts, cheapest first

GPT-6 Astra3 hosts
HostInOutContextUptime
Azure AI Foundry$10.00 in·$50.00 out·1.1M·100% upOpenAI$10.00 in·$50.00 out·1.1M·99.9% upAmazon Bedrock$11.00 in·$55.00 out·1.1M—
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

GPT-6 Astra is developed by OpenAI while Qwen3.7 Flash is developed by Qwen. GPT-6 Astra has a 1.1M 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-6 Astra 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-6 Astra costs $10/M input tokens and Qwen3.7 Flash costs $0.03/M input tokens. Qwen3.7 Flash is $9.97/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-6 Astra 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.

Keep exploring

More comparisons

Against the newest arrivals

GPT-6 Astra logoDeepSeek V4 Flash Vision Exp logo
GPT-6 Astra vs DeepSeek V4 Flash Vision ExpLanded Sep 2026
Qwen3.7 Flash logoSolar Pro 4 logo
Qwen3.7 Flash vs Solar Pro 4Landed Sep 2026
GPT-6 Astra logoHy3 logo
GPT-6 Astra vs Hy3Landed Sep 2026
Qwen3.7 Flash logoLing 3.0 Flash logo
Qwen3.7 Flash vs Ling 3.0 FlashLanded Sep 2026
GPT-6 Astra logoMuse Glimmer 30B logo
GPT-6 Astra vs Muse Glimmer 30BLanded Sep 2026
Qwen3.7 Flash logoGLM 5.3 logo
Qwen3.7 Flash vs GLM 5.3Landed Sep 2026
GPT-6 Astra logoTernary Bonsai 2 27B logo
GPT-6 Astra vs Ternary Bonsai 2 27BLanded Sep 2026
Qwen3.7 Flash logoGLM 5.3 Flash logo
Qwen3.7 Flash vs GLM 5.3 FlashLanded Sep 2026

Same lab, same size, long tail

GPT-6 Astra logoGPT-6 Astra Pro logo
GPT-6 Astra vs GPT-6 Astra ProVersion compare
GPT-6 Astra logoGPT-5.6 Luna logo
GPT-6 Astra vs GPT-5.6 LunaVersion compare
Qwen3.7 Flash logoQwen3.8 Flash logo
Qwen3.7 Flash vs Qwen3.8 FlashSame lab
Qwen3.7 Flash logoQwen3.8 Max (0902) logo
Qwen3.7 Flash vs Qwen3.8 Max (0902)Same lab
Qwen3.7 Flash logoDevstral 2 2512 logo
Qwen3.7 Flash vs Devstral 2 2512New provider
Qwen3.7 Flash logoMistral Devstral Medium logo
Qwen3.7 Flash vs Mistral Devstral MediumNew provider
Qwen3.7 Flash logoMistral Devstral Small 1.1 logo
Qwen3.7 Flash vs Mistral Devstral Small 1.1New provider
GPT-6 Astra logoDots3-Note Preview logo
GPT-6 Astra vs Dots3-Note PreviewNew provider

Model pages

GPT-6 Astra logo
GPT-6 Astra58 outputs, specs and price
Qwen3.7 Flash logo
Qwen3.7 Flash13 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Default Index
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed