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  5. GPT-6 LunavsQwen3.6 35B A3B
Updated Sep 2026

GPT-6 LunavsQwen3.6 35B A3B

GPT-6 Luna is cheaper than Qwen3.6 35B A3B at $0.1/M vs $0.1612/M input tokens.

GPT-6 Luna and Qwen3.6 35B A3B compared across 20 shared prompts
SpecGPT-6 LunaQwen3.6 35B A3B
Input price$0.1/M tokens$0.1612/M tokens
Output price$0.5/M tokens$0.9653/M tokens
Context window1.1M tokens262K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 20 prompts both answered. Formatting stripped, words untouched.

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
Qwen3.6 35B A3B1,014 words
Here are the three weakest claims in the MindMeld AI pitch deck, along with an analysis of why they fail scrutiny and how to fix them. The Technical Claim: "94% Accuracy" & "Any Language" on EEG Where: Slide 3 (Solution) The Claim: The headband decodes neural patterns into text with 94% accuracy and works with any…
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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
Qwen3.6 35B A3B1,445 words
EXECUTIVE CRISIS PLAN: 48-HOUR ACTION WINDOW Core Mandate: Patient safety and regulatory compliance are non-negotiable. The legal team’s “6-month reporting” guidance is legally indefensible under FDA 21 CFR 312.32/314.80 and EMA GVP Module VI.
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.
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Qwen3.6 35B A3B1,149 words
To trace this counterfactual plausibly, we must first acknowledge a critical constraint: invention ≠ adoption. In 1920, semiconductor physics, crystal growth, doping techniques, photolithography, and clean-room manufacturing did not exist.
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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 Luna330 words
A simple 1-month starter plan Choose three foundations: food, movement, and sleep. Aim for steady habits, not perfection. If you have a health condition, significant pain, or concerns about changing your activity or diet, check with a healthcare professional first.
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Qwen3.6 35B A3B788 words
Here is a simple, actionable 1-month plan designed for beginners. The focus is on consistency over intensity. For longevity, small, sustainable habits compound over time. The Golden Rule: If you miss a day, don't quit. Just get back on track the next day. Aim for progress, not perfection.
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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…

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.
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Qwen3.6 35B A3B1,632 words
Disclaimer: I am an AI assistant, not an attorney. The following analysis is for informational purposes only and does not constitute legal advice. Contract law varies significantly by jurisdiction (e.g., California vs. New York vs. EU).
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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
Qwen3.6 35B A3B1,016 words
Here’s a systematic breakdown of the critical failure modes, race conditions, and scaling bottlenecks in this architecture, along with specific solutions and their trade-offs. 🔴 1. WebSocket Routing & Load Balancing Problem: Round-robin LB + per-server WebSocket state + no sticky sessions.
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Our Verdict
GPT-6 Luna
GPT-6 Luna
Qwen3.6 35B A3B
Qwen3.6 35B A3BRunner-up

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

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-6 Luna
Input
$0.10
1.6× cheaper
Output
$0.50
1.9× cheaper
Qwen3.6 35B A3B
Input
$0.16
Output
$0.97

GPT-6 Luna is cheaper on both: 1.6× input, 1.9× output.

Where to run it

12 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
Qwen3.6 35B A3B9 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·100% upAAkashMLfp8$0.10 in·$0.90 out·262k·100% upVVenicefp8$0.10 in·$1.00 out·256k·99.3% upPParasailfp8$0.15 in·$1.00 out·262k·99.9% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.5% upPPhala$0.20 in·$1.27 out·262k·99.7% up
3 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·99.7% upCCoreWeavefp8$0.25 in·$1.25 out·262k·99.6% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·96.5% 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 Qwen3.6 35B A3B is developed by Qwen. GPT-6 Luna has a 1.1M token context window vs Qwen3.6 35B A3B's 262K. 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 Qwen3.6 35B A3B 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 Qwen3.6 35B A3B costs $0.1612/M input tokens. GPT-6 Luna is $0.06/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 Qwen3.6 35B A3B 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

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Same lab, same size, long tail

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Qwen3.6 35B A3B logoGPT-6 Astra logo
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Qwen3.6 35B A3B logoGPT-6 Astra Pro logo
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Qwen3.6 35B A3B logoGPT-6 Luna Pro logo
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Model pages

GPT-6 Luna logo
GPT-6 Luna20 outputs, specs and price
Qwen3.6 35B A3B logo
Qwen3.6 35B A3B58 outputs, specs and price
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