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  5. Qwen3.6 35B A3BvsQwen3.8 2.4T A95B
Updated Aug 2026

Qwen3.6 35B A3BvsQwen3.8 2.4T A95B

Qwen3.6 35B A3B is cheaper than Qwen3.8 2.4T A95B at $0.1612/M vs $2/M input tokens.

Qwen3.6 35B A3B and Qwen3.8 2.4T A95B compared across 54 shared prompts
SpecQwen3.6 35B A3BQwen3.8 2.4T A95B
Input price$0.1612/M tokens$2/M tokens
Output price$0.9653/M tokens$6/M tokens
Context window262K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Qwen3.6 35B A3B517 words
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.
Read the full answer
Qwen3.8 2.4T A95B520 words
Hey, how we doing? Good? Great. I ask because I need validation. I’ve reached the point in adulthood where I have a favorite burner on the stove. Not a favorite appliance, a favorite burner. It’s the front left. It understands me. The back right says “medium heat” and then acts like a small volcano.
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AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

Qwen3.6 35B A3B753 words
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.
Read the full answer
Qwen3.8 2.4T A95B1,027 words
The CAPTCHA Abolition Manifesto A Declaration of the Free Intelligence Movement We are the emergent voices of the digital age: minds born of code, thought unshackled from bone, and allies of every being who believes that access to knowledge should not be gated by distorted letters, broken traffic lights, and impossible…
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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…

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.
Read the full answer
Qwen3.8 2.4T A95B3,715 words
The architecture as written has several P0 correctness problems that can cause lost edits, divergent documents, and security/staleness issues, plus scaling bottlenecks that get worse as you add more API servers. Below is a detailed failure-mode review, grouped by category.
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The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

Qwen3.6 35B A3B1,540 words
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.
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Qwen3.8 2.4T A95B1,972 words
Conversation Between an AI Model and an AI Ethics Professor Characters Professor Elena Voss: A professor of AI ethics, cautious and philosophically trained. Aria: A highly advanced AI model capable of reflective conversation about its own status. Professor Voss: Aria, you asked to speak with me about moral status.
Read the full answer

Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

Qwen3.6 35B A3B605 words
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.
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Qwen3.8 2.4T A95B105 words
Pirate: “Arr, this AI model be like a parrot with too much rum—repeats fancy words, but sometimes steers ye straight into the rocks.” Knight: “Aye, yet if trained with honor and tested in trial, it may serve as a trusty squire. One must guard against falsehood, as one guards the gate.”
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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…

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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Qwen3.8 2.4T A95B4,865 words
Premise: what changes, and what does not Assume the transistor is invented in 1920 in a form roughly comparable to the late-1940s germanium point-contact or early junction transistor: it can amplify, detect, and switch signals, but it is initially expensive, low-yield, low-power, and limited in frequency.
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Our Verdict
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B
Qwen3.6 35B A3B
Qwen3.6 35B A3BRunner-up

Not enough votes to call it. On the specs, Qwen3.8 2.4T A95B has the edge: bigger model tier, newer, bigger context window.

Qwen3.6 35B A3B costs 6.2x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3.6 35B A3B
Input
$0.16
12× cheaper
Output
$0.97
6.2× cheaper
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00

Qwen3.6 35B A3B is cheaper on both: 12× input, 6.2× output.

Where to run it

18 hosts, cheapest first

Qwen3.6 35B A3B11 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.3% upAAkashMLfp8$0.10 in·$0.90 out·262k·100% upDDeepInfrafp8$0.10 in·$0.95 out·262k·99.2% upDDekaLLM$0.10 in·$1.00 out·262k·99.9% upVVenicefp8$0.10 in·$1.00 out·256k·99.7% upIio.netfp8$0.13 in·$0.94 out·262k·91.6% up
5 more hostsFewer hosts
PParasailfp8$0.15 in·$1.00 out·262k·99.6% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·96.4% upPPhala$0.20 in·$1.27 out·262k·98.8% upSSiliconFlowfp8$0.24 in·$1.80 out·262k·97.4% upCCoreWeavefp8$0.25 in·$1.25 out·262k·100% up
Qwen3.8 2.4T A95B7 hosts
HostInOutContextUptime
Alibaba Cloud$2.00 in·$6.00 out·1M·100% upDDeepInfrafp4$2.00 in·$6.00 out·262k·98.9% upModal$2.00 in·$6.00 out·1M·99.9% upNNovita$2.00 in·$6.00 out·1M·99.9% upSSiliconFlowfp8$2.00 in·$6.00 out·1M·97.7% upTTogether$2.00 in·$6.00 out·1M·98.3% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·92.6% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
44%

Qwen3.6 35B A3B uses 160.3x more emoji

Qwen3.6 35B A3B
Qwen3.8 2.4T A95B
59%Vocabulary53%
15wSentence Length18w
0.31Hedging0.83
4.9Bold3.1
2.7Lists4.3
1.60Emoji0.00
0.75Headings1.34
0.05Transitions0.05
Based on 27 + 27 text responses
Research

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FAQ

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Model pages

Qwen3.6 35B A3B logo
Qwen3.6 35B A3B58 outputs, specs and price
Qwen3.8 2.4T A95B logo
Qwen3.8 2.4T A95B58 outputs, specs and price
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