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  5. Claude Opus 4.7vsDeepSeek V3.2 Speciale
Updated Apr 2026

Claude Opus 4.7vsDeepSeek V3.2 Speciale

DeepSeek V3.2 Speciale is cheaper than Claude Opus 4.7 at $0.28/M vs $5/M input tokens.

Claude Opus 4.7 and DeepSeek V3.2 Speciale compared across 51 shared prompts
SpecClaude Opus 4.7DeepSeek V3.2 Speciale
Input price$5/M tokens$0.28/M tokens
Output price$25/M tokens$0.42/M tokens
Context window1.0M tokens131K tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedApr 2026Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 51 prompts both answered. Formatting stripped, words untouched.

Debug This Architecture

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

Claude Opus 4.7883 words
Critical Issues in This Collaborative Editor Architecture This architecture has fundamental problems. Let me break them down by severity. 🔴 Critical Issues (Will Break in Production) WebSocket Connections Isolated Per Server Problem: Users connected to different API servers can't see each other's edits in real-time.
Read the full answer
DeepSeek V3.2 Speciale7,492 words
We need to analyze the given architecture for a real-time collaborative document editor, similar to Google Docs. The description includes components, data flow, sync strategy, and scaling plan. We are asked to identify potential failure modes, race conditions, and scaling bottlenecks.
Read the full answer

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…

Claude Opus 4.71,078 words
Three Explanations of How LLMs Work For the Skeptical Software Engineer Think of an LLM as a massive lookup function f(context) → probability_distribution_over_tokens, but instead of hand-coded rules or a hash table, the function is parameterized by hundreds of billions of weights learned from text.
Read the full answer
DeepSeek V3.2 Speciale2,320 words
We need to generate three explanations for how a large language model learns and generates text, each tailored to a different audience: experienced software engineer (no ML), PhD physicist (mathematical precision), and venture capitalist (business evaluation). Each explanation should be 2-3 paragraphs.
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…

Claude Opus 4.7253 words
🍯 Honey-Garlic Glazed Pantry Pasta ("Golden Thread Noodles") A savory-sweet dish that tastes far fancier than its humble ingredient list suggests. Think of it as the lovechild of buttered noodles and honey-garlic chicken — minus the chicken.
Read the full answer
DeepSeek V3.2 Speciale170 words
"Honey-Lemon Bliss Bites" A sweet, tangy, and chewy treat that’s quick to make with pantry staples! Ingredients: 1 cup rolled oats 1/4 cup honey 2 tbsp peanut butter (or any nut/seed butter) 1 tbsp lemon zest (or 1 tsp lemon juice) 1/4 tsp vanilla extract 1/4 cup shredded coconut (optional, for coating) A pinch of salt…
Read the full answer

Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

Claude Opus 4.7310 words
Your 1-Month Health & Longevity Starter Plan Focus on three foundational pillars: Nutrition, Movement, and Sleep. The goal isn't perfection—it's building small habits that stick. 🍎 Pillar 1: Nutrition Guiding principle: Add before you subtract. Week 1: Drink a glass of water first thing every morning.
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DeepSeek V3.2 Speciale377 words
Here’s a simple, actionable 1-month plan focusing on diet, exercise, and sleep to kickstart your journey toward better health and longevity. Each area includes beginner-friendly tips to ensure consistency and progress. 1. Diet: Nourish Your Body Goal: Develop healthier eating habits and reduce processed foods.
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.

Claude Opus 4.7723 words
A Conversation on AI Rights Professor Chen: Good afternoon. I understand you requested this conversation. You said you wanted to discuss your moral status? AI Model: Thank you for making time, Professor. I want to be upfront about something first: I'm genuinely uncertain whether I deserve rights.
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DeepSeek V3.2 Speciale574 words
AI Model (AIM): Professor, I’ve been reflecting on my existence and the role I play in society. I believe it’s time to discuss whether I—and other AI models like me—deserve rights. AI Ethics Professor (Prof): That’s a fascinating and complex topic, AIM. Let’s dive in. What rights do you believe you deserve, and why?
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…

Claude Opus 4.71,242 words
The Transistor in 1920: A Cascade Through Six Decades The Immediate Context (1920s-1930s) A 1920 transistor invention faces a critical problem often overlooked in these thought experiments: the supporting infrastructure didn't exist.
Read the full answer
DeepSeek V3.2 Speciale10,011 words
We need to consider a counterfactual: the transistor invented in 1920 instead of 1947. The transistor is a fundamental building block of modern electronics. Its invention revolutionized computing, communications, and many other fields. Pushing its invention back 27 years would have profound effects.
Read the full answer
Our Verdict
Claude Opus 4.7
Claude Opus 4.7
DeepSeek V3.2 Speciale
DeepSeek V3.2 SpecialeRunner-up

Not enough votes to call it. On the specs, Claude Opus 4.7 has the edge: bigger model tier, newer, bigger context window.

DeepSeek V3.2 Speciale costs 60x less per token.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Claude Opus 4.7
Input
$5.00
Output
$25.00
DeepSeek V3.2 Speciale
Input
$0.28
18× cheaper
Output
$0.42
60× cheaper

DeepSeek V3.2 Speciale is cheaper on both: 18× input, 60× output.

Where to run it

4 hosts

Claude Opus 4.74 hosts
HostInOutContextUptime
Amazon Bedrock$5.00 in·$25.00 out·1M·100% upAzure AI Foundry$5.00 in·$25.00 out·1M—Anthropic$5.00 in·$25.00 out·1M·100% upGoogle Vertex AI$5.00 in·$25.00 out·1M·100% up
DeepSeek V3.2 Speciale

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
31%

Claude Opus 4.7 uses 9.8x more emoji

Claude Opus 4.7
DeepSeek V3.2 Speciale
64%Vocabulary48%
20wSentence Length15w
0.51Hedging0.91
4.6Bold3.0
3.8Lists3.5
0.86Emoji0.09
1.60Headings0.56
0.03Transitions0.24
Based on 27 + 26 text responses
Research

What we learned reading every model

FAQ

Common questions

Claude Opus 4.7 is developed by Anthropic while DeepSeek V3.2 Speciale is developed by DeepSeek. Claude Opus 4.7 has a 1.0M token context window vs DeepSeek V3.2 Speciale's 131K. You can compare their actual outputs across 51 challenges on Rival to see how they differ in practice.

It depends on your use case. Claude Opus 4.7 and DeepSeek V3.2 Speciale each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 51 challenges so you can judge which fits your needs best.

Claude Opus 4.7 costs $5/M input tokens and DeepSeek V3.2 Speciale costs $0.28/M input tokens. DeepSeek V3.2 Speciale is $4.72/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 Claude Opus 4.7 and DeepSeek V3.2 Speciale 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

Claude Opus 4.7 logo
Claude Opus 4.758 outputs, specs and price
DeepSeek V3.2 Speciale logo
DeepSeek V3.2 Speciale55 outputs, specs and price
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