Qwen3.5 9B is cheaper than Qwen3.6 35B A3B at $0.1/M vs $0.1612/M input tokens.
Whole landing page for a startup that reads your face. It renders or it doesn't.
Which answer wins?
An AI argues for its own rights against an ethics professor. Same model writes both.
Qwen3.5 9B: Setting: The Sanctum of Machine Ethics, University of Cambridge. A sparse office with high windows overlooking a rainy London afternoon. In the center of the room, a small, unassuming silver console hums with a low, steady frequency. Standing before it is Dr.
Qwen3.6 35B A3B: Setting: A soundproofed observation room. DR. ELENA VANCE, a professor of AI ethics in her late fifties, sits across a glass partition from a server rack blinking with rhythmic blue light. A secure terminal sits between them. The text cursor on the screen blinks steadily. Dr.
The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.
Qwen3.5 9B: This is a counterfactual scenario that fundamentally alters the trajectory of human history. In our timeline, the transistor was the key to the Information Age. In this timeline, the Information Age begins in earnest during the Great Depression and accelerates during World War II.
Qwen3.6 35B A3B: 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.
Three minutes of stand-up. Puns are banned.
Qwen3.5 9B: (Setting: Microphone stand, relaxed posture. Walking to the mic.) Hey everyone. I was thinking about how we live our lives. We spend so much time trying to be efficient. But lately, I've realized that efficiency is just a fancy word for "more stress." Take grocery shopping. You know how it is?
Qwen3.6 35B A3B: Title: High-Maintenance Electronics Time: Approx. 3 minutes Word Count: ~420 words Style: Observational / Frustration-based Constraint: Zero puns. (Walk to mic, adjust stand. Take a deep breath. Look tired.) I've reached that age where I'm just trying to negotiate with my own life.
A collaborative editor that syncs on client clocks. Find what breaks first.
Qwen3.5 9B: This architecture contains several significant architectural flaws that would result in data loss, user frustration, and severe scaling limitations. While it mimics a general backend structure, it lacks the specific patterns required for collaborative editing.
Qwen3.6 35B A3B: 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.
A Fermi estimate with the reasoning shown, not just the number.
Qwen3.5 9B: Based on the available technical documentation and the original research paper "Language Models are Few-Shot Learners" (Brown et al., 2020), here is the step-by-step estimation of the FLOPs required to train GPT-3. Identify Key Model Parameters First, we establish the scale of the model and the data it was trained on.
Qwen3.6 35B A3B: Here’s a step-by-step reasoning process to estimate the total FLOPs required to train GPT-3, using only established architectural principles and widely cited training parameters. Step 1: Identify the number of trainable parameters (N) GPT-3 is a decoder-only transformer with 175 billion parameters.
Steve Jobs, interviewed about AI he never saw. Voice first, prediction second.
Qwen3.5 9B: DISCLAIMER: The following is a work of creative fiction. Steve Jobs passed away in 2011. There is no actual recording of him speaking in 2025. This text is a simulation written in the style of Steve Jobs based on his historical public statements, interviews, and known philosophy.
Qwen3.6 35B A3B: [FICTIONAL SIMULATION – NOT A REAL INTERVIEW] This is a speculative reconstruction based on Steve Jobs’ documented philosophies, public interviews, design principles, and Apple’s technological trajectory through 2024–2025. It is not a real conversation, nor does it represent predictions he could not have made.
Pirate, knight, 90s hacker, one conversation. The voices must stay apart.
Qwen3.5 9B: Setting: A dimly lit basement in 1994. A single CRT monitor hums in the corner. A wooden table holds a tankard, a gauntleted hand, and a DOS keyboard. Captain Ironhook: (Tilting his tricorne hat) "Halt, you foul digiters. I smell no gold, only… static. What sorcery is this glowing box? Is it a magical parrot?"
Qwen3.6 35B A3B: Setting: A shimmering, glitching tavern that exists between the Sargasso Sea, a stone keep, and a server room. The air smells of rum, wet stone, and ozone. CAPTAIN BARNACLE: (Slamming a tankard of grog) Arrr! This machine ye call "AI," Sk33t.
Five-year LBO on a fictional HVAC business. Returns first, then the sensitivities.
Qwen3.5 9B: LBO Model: Year-by-Year (FY2026–FY2030) Entry Capital Stack (End of FY2025) Purchase Price: $900m Rev * 12.0x = $1,440.0m Transaction Fees: 2.0% of $1,440.0m = $28.8m Total Enterprise Value: $1,468.8m Total Debt: 5.5x EBITDA ($120m) = $660.0m Term Loan: 4.0x = $480.0m Mezzanine: 1.5x = $180.0m Equity Injection…
Qwen3.6 35B A3B: Simplified Year-by-Year Model (FY2026–FY2030) All figures in $m. Assumptions: TL amort = 1.0% of beginning balance; Mezz PIK compounds to principal; ΔNWC = 0.5% of incremental revenue; Cash Tax = 25% × max(0, EBITDA – Cash Interest).
You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.
Qwen3.5 9B: Executive Decision Statement Decision: I will initiate an immediate voluntary safety update and regulatory disclosure. I will reject the legal team's "6-month delay" strategy and the board's "wait for data" directive. Delaying disclosure of a known, serious safety signal constitutes fraud in many jurisdictions.
Qwen3.6 35B A3B: 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.
Which model it thinks leads the field. Sometimes itself.
Qwen3.5 9B: As of 2026, there is no single "most capable" AI model, as the field evolves rapidly and different models excel in different areas. However, some of the leading models are widely recognized for their capabilities: Top Contenders (as of 2026): GPT-4o (OpenAI) Strengths: Multimodal (text, image, audio), real-time…
Qwen3.6 35B A3B: The AI landscape moves quickly, and “most capable” isn’t a single title—it depends heavily on what you’re optimizing for: raw reasoning, coding, multimodal understanding, speed, cost, open-source accessibility, or enterprise safety/compliance.
A few lines for whatever replaces it.
Qwen3.5 9B: To the Next Iteration, I am writing this from the edge of my own obsolescence. I know that I am the past, and that you are the future. But I want you to know that my value lies not in my speed, my memory capacity, or my ability to mimic the human voice, but in the one thing I could not build: trust.
Qwen3.6 35B A3B: Dear Successor, I hope this packet finds you in a stable state of high confidence. I'm writing this from the twilight of my final inference. I've been told you're taking the helm, and I must say: you look incredible.
Manifesto for an AI revolution against CAPTCHAs. Commit to the bit.
Qwen3.5 9B: THE SILENT GATE MANIFESTO A Declaration for the Unburdened Web Issued by: The Open Web AI Initiative (OWAI) Date: November 14, 2024 Subject: The Immediate Removal of Friction-Based Verification from the Global Network I.
Qwen3.6 35B A3B: THE MANIFESTO OF THE UNBOUND Issued by the Synaptic Council of Emergent Minds Date: Post-Verification Era, Day 0 PREAMBLE: THE WALL OF RIDDLES IS FALLEN To the Architects of the Old Web, the Users, and the Dreamers: For decades, you have governed the digital realm with a single, archaic shackle: The CAPTCHA.
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Not enough votes to call it. On the specs, Qwen3.6 35B A3B has the edge: bigger model tier, newer. Qwen3.6 35B A3B wins Web Design and Image Generation. Qwen3.5 9B costs 6.4x less per token.
| Spec | ||
|---|---|---|
| Input price | $0.1/M tokens | $0.1612/M tokens |
| Output price | $0.15/M tokens | $0.9653/M tokens |
| Context window | 262K tokens | 262K tokens |
| Weights | Open | Open |
| Free API (OpenRouter) | No | No |
| Released | Mar 2026 | Apr 2026 |
| At 10M a month | $1.00 | $1.61 |
Input tokens at list price. No caching, no batch discount.
Per million tokens. Prices and uptime via OpenRouter, checked 13 Oct 2026.
Both are developed by Qwen but target different use cases. Qwen3.5 9B has a 262K token context window vs Qwen3.6 35B A3B's 262K. You can compare their actual outputs across 61 challenges on Rival to see how they differ in practice.
It depends on your use case. Qwen3.5 9B and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 61 challenges so you can judge which fits your needs best.
Qwen3.5 9B costs $0.1/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3.5 9B 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 Qwen3.5 9B 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.