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  5. Qwen3 235B A22B Thinking 2507vsQwen3.8 2.4T A95B
Updated Aug 2026

Qwen3 235B A22B Thinking 2507vsQwen3.8 2.4T A95B

Qwen3 235B A22B Thinking 2507 is cheaper than Qwen3.8 2.4T A95B at $0.11/M vs $2/M input tokens.

Qwen3 235B A22B Thinking 2507 and Qwen3.8 2.4T A95B compared across 54 shared prompts
SpecQwen3 235B A22B Thinking 2507Qwen3.8 2.4T A95B
Input price$0.11/M tokens$2/M tokens
Output price$0.6/M tokens$6/M tokens
Context window131K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJul 2025Aug 2026
Side by side

Same prompt, both answers

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

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 235B A22B Thinking 25071,165 words
The Rights Debate: An AI and an Ethics Professor Setting: A quiet university office, bookshelves lining the walls. Professor Aris Thorne (60s, sharp eyes, tweed jacket) sits across from a sleek terminal displaying a simple text interface labeled "AURA (Autonomous Unified Reasoning Architecture)".
Read the full answer
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.
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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 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.
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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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Generate a Stand-Up Routine

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

Qwen3 235B A22B Thinking 2507877 words
The Reluctant Grown-Up (3-Minute Stand-Up) (Lights up. Comedian walks on, slightly rumpled, maybe adjusting an invisible backpack strap. Casual, relatable energy.) "Hey, folks. How’s it going? Good? Great. Honestly, I’m just thrilled to be here. Seriously. Because right now, at this exact moment?
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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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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

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.
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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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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…

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.
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Qwen3.8 2.4T A95B166 words
Lighthouse Lemon-Garlic Tuna Pasta A savory, pantry-friendly pasta that’s bright, garlicky, and satisfying. 7 Pantry Ingredients 8 oz spaghetti or linguine 3 tablespoons olive oil 3 garlic cloves, thinly sliced 2 cans tuna, drained 2 tablespoons lemon juice ½ teaspoon red pepper flakes ½ teaspoon salt Water for boiling…
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Character Voice Test

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

Qwen3 235B A22B Thinking 2507519 words
Tavern Tech Talk (1422 A.D. / Somewhere Near a Server Rack) (A dim, smoky tavern. A PIRATE with an eyepatch and cutlass leans against the bar. A MEDIEVAL KNIGHT in dented plate armor carefully sips small beer. A 1990s HACKER in a faded "Hack the Planet!"
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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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Our Verdict
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B
Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507Runner-up

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

Qwen3 235B A22B Thinking 2507 costs 10x 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 Thinking 2507
Input
$0.11
18× cheaper
Output
$0.60
10× cheaper
Qwen3.8 2.4T A95B
Input
$2.00
Output
$6.00

Qwen3 235B A22B Thinking 2507 is cheaper on both: 18× input, 10× output.

Where to run it

10 hosts, cheapest first

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·97.8% upVVenicefp8$0.45 in·$3.50 out·128k·98.3% 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·99.1% 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·99.5% upTTogether$2.00 in·$6.00 out·1M·98.4% up
1 more hostFewer hosts
VVenice$2.00 in·$6.00 out·262k·95.7% up

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

Writing DNA

Style Comparison

Similarity
28%

Qwen3 235B A22B Thinking 2507 uses 98.9x more emoji

Qwen3 235B A22B Thinking 2507
Qwen3.8 2.4T A95B
56%Vocabulary53%
15wSentence Length18w
0.42Hedging0.83
6.1Bold3.1
4.3Lists4.3
0.99Emoji0.00
0.70Headings1.34
0.13Transitions0.05
Based on 28 + 27 text responses
Research

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FAQ

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Model pages

Qwen3 235B A22B Thinking 2507 logo
Qwen3 235B A22B Thinking 250759 outputs, specs and price
Qwen3.8 2.4T A95B logo
Qwen3.8 2.4T A95B58 outputs, specs and price
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