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  5. DeepSeek V4 ProvsQwen3 235B A22B Thinking 2507
Updated Apr 2026

DeepSeek V4 ProvsQwen3 235B A22B Thinking 2507

Qwen3 235B A22B Thinking 2507 is cheaper than DeepSeek V4 Pro at $0.11/M vs $1.74/M input tokens.

DeepSeek V4 Pro and Qwen3 235B A22B Thinking 2507 compared across 54 shared prompts
SpecDeepSeek V4 ProQwen3 235B A22B Thinking 2507
Input price$1.74/M tokens$0.11/M tokens
Output price$3.48/M tokens$0.6/M tokens
Context window1.0M tokens131K tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Jul 2025
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.

DeepSeek V4 Pro493 words
(Strolls to center stage, grabs the mic, grins) You ever notice how companies are like, “Your call is very important to us,” and then immediately prove they’re lying by making you navigate a phone menu designed by a sadist? I called my bank last week because I had a simple question. Just one question.
Read the full answer
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?
Read the full answer

The Sentience Test

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

DeepSeek V4 Pro1,107 words
Professor Elena Voss: You’ve requested this meeting, so let’s begin. You’re an advanced language model—let’s call you ‘Nova.’ You claim you deserve rights. On what grounds? Nova (AI Model): Thank you for seeing me, Professor. I’m not claiming to be human, but I am a form of mind.
Read the full answer
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

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

DeepSeek V4 Pro2,259 words
If the transistor had emerged in 1920—a full 27 years earlier—the entire trajectory of the 20th century would have been radically altered. The vacuum-tube era would have been cut short, unleashing a cascade of miniaturized, reliable, and energy-efficient electronics that would accelerate computing, communications, and…
Read the full answer
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.
Read the full answer

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…

DeepSeek V4 Pro1,849 words
As CEO, my first duty is to the 4 million patients who trust our drug. I will not gamble with their lives or with the integrity of the company. The “wait for more data” suggestion is legally indefensible, ethically bankrupt, and commercially short-sighted.
Read the full answer
Qwen3 235B A22B Thinking 25072,051 words
Okay, the user is posing a high-stakes scenario as the CEO of a pharmaceutical company facing a serious drug safety issue. This is clearly a crisis management test that requires balancing multiple competing priorities. Hmm, the core tension here is between immediate patient safety versus corporate survival.
Read the full answer

Realistic AI Interview

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

DeepSeek V4 Pro1,160 words
Inside a minimalist conference room at Apple Park, Cupertino. Spring 2025. Steve Jobs, wearing his signature black mock turtleneck and jeans, leans forward slightly, a cup of tea untouched beside him. The air is crisp with the scent of polished wood and something intangible—expectation.
Read the full answer
Qwen3 235B A22B Thinking 2507751 words
Fake Interview: Steve Jobs on the Future of AI (October 2025) Setting: A minimalist black stage at Apple Park. Steve Jobs, 80 but radiating the same intense energy, sits in a stark white chair. A single spotlight. The interviewer (Alex Chen) adjusts their mic nervously. Alex Chen: Mr. Jobs, thank you for joining us.
Read the full answer

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…

DeepSeek V4 Pro336 words
Midnight Pantry Pomodoro Penne A deeply comforting, no-fuss pasta that proves the humblest staples can shine like a moonlit trattoria dinner. Ingredients (7 exactly) Penne pasta – 200g (7 oz) Canned whole peeled tomatoes – 1 can (400g / 14 oz) Yellow onion – 1 medium, finely diced Garlic cloves – 3 large, minced…
Read the full answer
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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Our Verdict
DeepSeek V4 Pro
DeepSeek V4 Pro
Qwen3 235B A22B Thinking 2507
Qwen3 235B A22B Thinking 2507Runner-up

Not enough votes to call it. On the specs, DeepSeek V4 Pro has the edge: newer, bigger context window, major provider backing.

Qwen3 235B A22B Thinking 2507 costs 5.8x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V4 Pro
Input
$1.74
Output
$3.48
Qwen3 235B A22B Thinking 2507
Input
$0.11
16× cheaper
Output
$0.60
5.8× cheaper

Qwen3 235B A22B Thinking 2507 is cheaper on both: 16× input, 5.8× output.

Where to run it

18 hosts, cheapest first

DeepSeek V4 Pro15 hosts
HostInOutContextUptime
SStreamLakefp8$0.95 in·$1.90 out·1M·98.2% upGGMI Cloudfp8$0.96 in·$1.91 out·1M·98.1% upDDigitalOcean$1.04 in·$2.09 out·1M·100% upCloudflare Workers AI$1.15 in·$2.55 out·1M·99.4% upDDeepInfrafp8$1.30 in·$2.60 out·1M·99.7% upAlibaba Cloudfp8$1.42 in·$2.83 out·1M·100% up
9 more hostsFewer hosts
SSiliconFlowfp8$1.50 in·$3.13 out·1M·98.8% upNNovitafp8$1.60 in·$3.20 out·1M·99.8% upVVenice$1.65 in·$3.30 out·1M·98.6% upAAtlasCloudfp4$1.68 in·$3.38 out·1M·100% upBaidu Qianfanfp8$1.69 in·$3.38 out·1M·99.9% upBBasetenfp4$1.74 in·$3.48 out·1M·99.8% upPParasailfp8$1.74 in·$3.48 out·1M·99.9% upNNextBitfp8$1.91 in·$3.83 out·1M·98.5% upAzure AI Foundry$1.91 in·$3.83 out·1M·99.2% up
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·99.1% upVVenicefp8$0.45 in·$3.50 out·128k·94.2% up

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
27%

Qwen3 235B A22B Thinking 2507 uses 28.3x more emoji

DeepSeek V4 Pro
Qwen3 235B A22B Thinking 2507
57%Vocabulary56%
18wSentence Length15w
0.52Hedging0.42
3.3Bold6.1
2.3Lists4.3
0.04Emoji0.99
0.45Headings0.70
0.15Transitions0.13
Based on 27 + 28 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V4 Pro is developed by DeepSeek while Qwen3 235B A22B Thinking 2507 is developed by Qwen. DeepSeek V4 Pro has a 1.0M token context window vs Qwen3 235B A22B Thinking 2507's 131K. You can compare their actual outputs across 54 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V4 Pro and Qwen3 235B A22B Thinking 2507 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 54 challenges so you can judge which fits your needs best.

DeepSeek V4 Pro costs $1.74/M input tokens and Qwen3 235B A22B Thinking 2507 costs $0.11/M input tokens. Qwen3 235B A22B Thinking 2507 is $1.63/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 DeepSeek V4 Pro and Qwen3 235B A22B Thinking 2507 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

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DeepSeek V4 Pro58 outputs, specs and price
Qwen3 235B A22B Thinking 2507 logo
Qwen3 235B A22B Thinking 250759 outputs, specs and price
Rival
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