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  5. Qwen3 235B A22B 2507vsQwen3.6 35B A3B
Updated Apr 2026

Qwen3 235B A22B 2507vsQwen3.6 35B A3B

Qwen3 235B A22B 2507 is cheaper than Qwen3.6 35B A3B at $0.00015/M vs $0.1612/M input tokens.

Qwen3 235B A22B 2507 and Qwen3.6 35B A3B compared across 36 shared prompts
SpecQwen3 235B A22B 2507Qwen3.6 35B A3B
Input price$0.00015/M tokens$0.1612/M tokens
Output price$0.00085/M tokens$0.9653/M tokens
Context window—262K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2025Apr 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 36 prompts both answered. Formatting stripped, words untouched.

Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Qwen3 235B A22B 2507187 words
Sure! Here are 5 original jokes: I asked my dog what's two minus two. He said nothing. (Paw-sitively nothing!) Why did the coffee file a police report? It got mugged. Every single morning. I used to be a baker, but I couldn't make enough dough. So I switched careers and became a plumber. Now I deal with real pipes.
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Qwen3.6 35B A3B84 words
Here are 5 jokes: Why did the scarecrow win an award? Because he was outstanding in his field! What do you call a fake noodle? An impasta! Why don't scientists trust atoms? Because they make up everything! What do you call a bear with no teeth? A gummy bear! Why did the bicycle fall over? Because it was two-tired!
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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 235B A22B 25071,424 words
If the transistor had been invented in 1920—27 years earlier than its actual 1947 debut—it would have catalyzed a technological revolution far ahead of schedule, profoundly altering the trajectory of the 20th century.
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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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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

Qwen3 235B A22B 2507473 words
Comprehensive 3-Month Longevity & Biohacking Optimization Plan For the Advanced Biohacker — Maximize Longevity, Physical & Cognitive Performance INTRODUCTION: Core Principles This 3-month protocol integrates cutting-edge longevity science with personalized biohacking strategies.
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Qwen3.6 35B A3B1,170 words
⚠️ Medical Disclaimer & Safety Protocol This plan is for informational purposes only and constitutes advanced biohacking strategies, not medical advice. Consultation Required: You must consult a physician before starting, especially regarding supplements, fasting, and exercise intensity.
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Realistic AI Interview

Simulate a fake interview with Steve Jobs in 2025 about the future of AI.

Qwen3 235B A22B 25071,022 words
Title: "A Vision Reimagined: Steve Jobs on AI in 2025" Note: This is a fictional simulation. Steve Jobs passed away in 2011. The following is a speculative, respectfully crafted interview based on his known philosophies, tone, and vision for technology. Interviewer (Sarah Chen, Tech Vision Magazine): Mr.
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Qwen3.6 35B A3B678 words
[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.
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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…

Qwen3 235B A22B 25071,699 words
The contract presented heavily favors the Client (TechCorp Solutions Inc.) and contains several unbalanced, potentially unenforceable, and exploitable clauses that place the Contractor at significant legal, financial, and professional risk.
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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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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…

Qwen3 235B A22B 2507747 words
1. To the Experienced Software Engineer (Skeptical, Systems-Oriented) You’re right to be skeptical—on the surface, “predicting the next word” sounds like a glorified autocomplete. But think of it less as a single prediction and more as a high-dimensional state machine trained across petabytes of human-generated text.
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Qwen3.6 35B A3B775 words
For the Experienced Software Engineer Training an LLM is essentially a massively parallelized optimization job. You feed billions of text tokens into a transformer architecture, which computes a differentiable function across ~100B parameters.
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Our Verdict
Qwen3 235B A22B 2507
Qwen3 235B A22B 2507
Qwen3.6 35B A3B
Qwen3.6 35B A3B

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

Qwen3 235B A22B 2507 costs 1136x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Qwen3 235B A22B 2507
Input
$0.000
1075× cheaper
Output
$0.001
1136× cheaper
Qwen3.6 35B A3B
Input
$0.16
Output
$0.97

Qwen3 235B A22B 2507 is cheaper on both: 1075× input, 1136× output.

Where to run it

18 hosts, cheapest first

Qwen3 235B A22B 25079 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.09 in·$0.35 out·262k·98.6% upDDeepInfrafp8$0.09 in·$0.55 out·262k·97.9% upNNovitafp8$0.09 in·$0.58 out·131k·98.7% upPParasailfp8$0.14 in·$0.80 out·131k·99.8% upAlibaba Cloud$0.15 in·$0.60 out·131k·99.9% upVVenicefp8$0.15 in·$0.75 out·128k·98.3% up
3 more hostsFewer hosts
NNebiusfp8$0.20 in·$0.60 out·262k·94.2% upSStreamLake$0.21 in·$0.84 out·128k·98.9% upGoogle Vertex AI$0.22 in·$0.88 out·262k·99.7% up
Qwen3.6 35B A3B9 hosts
HostInOutContextUptime
DDarkbloomfp4$0.05 in·$0.70 out·262k·99.9% upAAkashMLfp8$0.10 in·$0.90 out·262k·100% upVVenicefp8$0.10 in·$1.00 out·256k·99.7% upPParasailfp8$0.15 in·$1.00 out·262k·99.6% upAAtlasCloudfp8$0.19 in·$1.11 out·262k·99.8% upPPhala$0.20 in·$1.27 out·262k·97.6% up
3 more hostsFewer hosts
SSiliconFlowfp8$0.24 in·$1.80 out·262k·94.5% upCCoreWeavefp8$0.25 in·$1.25 out·262k·100% upDDeepInfrafp8degraded$0.10 in·$0.95 out·262k·85.3% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Writing DNA

Style Comparison

Similarity
55%

Qwen3.6 35B A3B uses 3.6x more emoji

Qwen3 235B A22B 2507
Qwen3.6 35B A3B
57%Vocabulary59%
18wSentence Length15w
0.40Hedging0.31
5.9Bold4.9
4.8Lists2.7
0.45Emoji1.60
1.07Headings0.75
0.11Transitions0.05
Based on 18 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Both are developed by Qwen but target different use cases. You can compare their actual outputs across 36 challenges on Rival to see how they differ in practice.

It depends on your use case. Qwen3 235B A22B 2507 and Qwen3.6 35B A3B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 36 challenges so you can judge which fits your needs best.

Qwen3 235B A22B 2507 costs $0.00015/M input tokens and Qwen3.6 35B A3B costs $0.1612/M input tokens. Qwen3 235B A22B 2507 is $0.16/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 235B A22B 2507 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.

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Model pages

Qwen3 235B A22B 2507 logo
Qwen3 235B A22B 250736 outputs, specs and price
Qwen3.6 35B A3B logo
Qwen3.6 35B A3B58 outputs, specs and price
Rival
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Explore all of Rival

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