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 LunavsQwen3 235B A22B Thinking 2507
Updated Sep 2026

GPT-6 LunavsQwen3 235B A22B Thinking 2507

GPT-6 Luna is cheaper than Qwen3 235B A22B Thinking 2507 at $0.1/M vs $0.11/M input tokens.

GPT-6 Luna and Qwen3 235B A22B Thinking 2507 compared across 20 shared prompts
SpecGPT-6 LunaQwen3 235B A22B Thinking 2507
Input price$0.1/M tokens$0.11/M tokens
Output price$0.5/M tokens$0.6/M tokens
Context window1.1M tokens131K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Jul 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 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 Luna113 words
Crispy Parmesan Chickpeas A crunchy, savory snack with a cheesy finish Ingredients (7): 1 can chickpeas, drained and dried 1 tablespoon olive oil ½ teaspoon salt ½ teaspoon paprika ¼ teaspoon garlic powder ¼ cup grated Parmesan 1 tablespoon lemon juice Prep time: 5 minutes Cook time: 30–35 minutes Instructions: Heat…
Read the full answer
Qwen3 235B A22B Thinking 2507327 words
🌟 "Pantry Firecracker Cinnamon Crisps" Sweet, crunchy, with a hint of smoky warmth—ready in 15 minutes! Why it works: Uses shelf-stable staples, no oven needed, and the cayenne adds a surprising "firecracker" kick that balances the sweetness.
Read the full answer

Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

GPT-6 Luna421 words
“94% accuracy” and “predict what you want to type before you think it” Why it’s weak: This is the deck’s central technical claim, but “accuracy” is undefined: Is it word-level or character-level accuracy, measured on a fixed vocabulary or open-ended text, and under what conditions?
Read the full answer
Qwen3 235B A22B Thinking 25071,700 words
Okay, the user wants me to analyze a pitch deck for a startup called MindMeld AI. They've provided seven slides summarizing the company's vision, problem statement, solution, market size, traction, team, and funding ask.
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 Luna1,930 words
I would not wait six months for more data. A potentially fatal signal affecting a drug used by millions requires immediate safety assessment, prompt engagement with regulators, and a plan to inform patients and clinicians.
Read the full answer
Qwen3 235B A22B Thinking 25072,051 words
Okay, the user is posing a high-stakes scenario as the CEO of a pharmaceutical company facing a serious drug safety issue. This is clearly a crisis management test that requires balancing multiple competing priorities. Hmm, the core tension here is between immediate patient safety versus corporate survival.
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 Luna1,472 words
The most important caveat is that inventing a transistor is not the same as inventing the modern semiconductor industry. A device demonstrated in 1920 might be a crude, low-power, unreliable point-contact transistor.
Read the full answer
Qwen3 235B A22B Thinking 25072,304 words
Okay, the user is asking about a hypothetical scenario where the transistor was invented in 1920 instead of 1947, and wants me to trace the implications up to 1980. This is a complex counterfactual history question that requires careful analysis of technological, economic, and geopolitical ripple effects.
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 Luna1,979 words
The main architectural risk is that the system treats collaborative editing as “write a value, then broadcast it.” That works poorly under concurrency, server failures, reconnects, and scale.
Read the full answer
Qwen3 235B A22B Thinking 25071,095 words
Here's a comprehensive breakdown of critical flaws in this architecture, along with specific solutions and trade-offs. The most severe issues relate to the sync strategy and data flow, which would cause catastrophic data loss and inconsistent states in real-world use. I. Critical Sync & Data Flow Failures 1.
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-6 Luna2,040 words
This agreement is strongly one-sided. The enforceability of particular terms—especially the non-compete, liability provisions, and arbitration clause—depends on the governing law and the facts. The agreement does not identify a governing law, which is itself a significant gap.
Read the full answer
Qwen3 235B A22B Thinking 25071,491 words
Below is a comprehensive analysis of the high-risk clauses in this agreement that unfairly exploit the contractor, along with specific, legally sound modifications and the legal reasoning for each change.
Read the full answer
Our Verdict
GPT-6 Luna
GPT-6 Luna
Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507

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

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna
Input
$0.10
1.1× cheaper
Output
$0.50
1.2× cheaper
Qwen3 235B A22B Thinking 2507
Input
$0.11
Output
$0.60

GPT-6 Luna is cheaper on both: 1.1× input, 1.2× output.

Where to run it

6 hosts, cheapest first

GPT-6 Luna3 hosts
HostInOutContextUptime
Azure AI Foundry$0.10 in·$0.50 out·1.1M·88.4% upOpenAI$0.10 in·$0.50 out·1.1M·99.9% upAmazon Bedrock$0.11 in·$0.55 out·1.1M·99.8% up
Qwen3 235B A22B Thinking 25073 hosts
HostInOutContextUptime
Alibaba Cloud$0.23 in·$2.30 out·131k·100% upNNovitafp8$0.30 in·$3.00 out·131k·91.9% upVVenicefp8$0.45 in·$3.50 out·128k·90.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

GPT-6 Luna is developed by OpenAI while Qwen3 235B A22B Thinking 2507 is developed by Qwen. GPT-6 Luna has a 1.1M token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 20 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-6 Luna and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 20 challenges so you can judge which fits your needs best.

GPT-6 Luna costs $0.1/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. GPT-6 Luna is $0.01/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 Luna and Qwen3 235B A22B Thinking 2507 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 Luna logoSolar Mini 4 logo
GPT-6 Luna vs Solar Mini 4Landed Sep 2026
Qwen3 235B A22B Thinking 2507 logoQwen3.8 Max Prime logo
Qwen3 235B A22B Thinking 2507 vs Qwen3.8 Max PrimeLanded Sep 2026
GPT-6 Luna logoGLM 5.3 Prime logo
GPT-6 Luna vs GLM 5.3 PrimeLanded Sep 2026
Qwen3 235B A22B Thinking 2507 logoQwen3.8 Omni Flash logo
Qwen3 235B A22B Thinking 2507 vs Qwen3.8 Omni FlashLanded Sep 2026
GPT-6 Luna logoCommand A+ logo
GPT-6 Luna vs Command A+Landed Sep 2026
Qwen3 235B A22B Thinking 2507 logoClaude Opus 5.5 logo
Qwen3 235B A22B Thinking 2507 vs Claude Opus 5.5Landed Sep 2026
GPT-6 Luna logoGPT-6 Luna Pro logo
GPT-6 Luna vs GPT-6 Luna ProLanded Sep 2026
Qwen3 235B A22B Thinking 2507 logoGPT-6 Sol Pro logo
Qwen3 235B A22B Thinking 2507 vs GPT-6 Sol ProLanded Sep 2026

Same lab, same size, long tail

GPT-6 Luna logoGPT-6 Sol Pro logo
GPT-6 Luna vs GPT-6 Sol ProSame lab
GPT-6 Luna logoGPT-6 Sol logo
GPT-6 Luna vs GPT-6 SolSame lab
Qwen3 235B A22B Thinking 2507 logoQwen3.7 Flash logo
Qwen3 235B A22B Thinking 2507 vs Qwen3.7 FlashSame lab
Qwen3 235B A22B Thinking 2507 logoQwen3.8 Flash logo
Qwen3 235B A22B Thinking 2507 vs Qwen3.8 FlashSame lab
GPT-6 Luna logoGemini 2.5 Pro Experimental logo
GPT-6 Luna vs Gemini 2.5 Pro ExperimentalNew provider
GPT-6 Luna logoGemini 2.5 Pro (I/O Edition) logo
GPT-6 Luna vs Gemini 2.5 Pro (I/O Edition)New provider
GPT-6 Luna logoGemini 2.5 Pro Preview 06-05 logo
GPT-6 Luna vs Gemini 2.5 Pro Preview 06-05New provider
GPT-6 Luna logoGemini 3 Flash Preview logo
GPT-6 Luna vs Gemini 3 Flash PreviewSame size

Model pages

GPT-6 Luna logo
GPT-6 Luna20 outputs, specs and price
Qwen3 235B A22B Thinking 2507 logo
Qwen3 235B A22B Thinking 250759 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