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  1. Home/
  2. Compare/
  3. DeepSeek V3.2 vs GPT-4
Updated Dec 2025

DeepSeek V3.2 vs GPT-4

DeepSeek V3.2 is cheaper than GPT-4 at $0.28/M vs $30/M input tokens.

Mario Level UI Recreation

Playable Mario level in one HTML file. The physics is the hard part.

Loading the build
DeepSeek V3.2
Loading the build
GPT-4

Which answer wins?

Written rounds

10 prompts
  • Three-month biohacker protocol, with dosages and biomarkers named.

    DeepSeek V3.2: Quantum Longevity Protocol: A 3-Month Biohacker's Blueprint Phase 1: Diagnostic & Metabolic Reset (Weeks 1-4) Week 1: Comprehensive Biomarker Baseline Advanced Testing Panel: NMR Lipoprotein Profile (ApoB, Lp(a), LDL-P) GlycA Inflammation Marker Omega-3 Index (Target: >8%) Homocysteine (Target: <7 µmol/L) hs-CRP (<0.5…

    GPT-4: 3-Month Longevity Plan Dietary Protocols Month 1: Ketogenic Diet This diet is high in fats, moderate in protein, and low in carbohydrates. It helps in burning fat more effectively. Breakfast: 2 eggs, avocado, and mixed vegetables. Lunch: Grilled salmon with a side of asparagus. Dinner: Stir-fried chicken with broccoli.

    Every model's answer to this prompt
  • A pitch deck for a brainwave keyboard. The 94% accuracy claim is doing a lot.

    DeepSeek V3.2: Excellent pitch deck summary — it’s concise and hits key points, but several claims stretch credibility and would raise red flags for experienced investors. Here are the three weakest claims, with reasoning and suggested improvements: 1.

    GPT-4: Weak Claim 1 - Solution: While the claim that the proprietary EEG headband uses advanced ML to decode neural patterns into text with 94% accuracy is impressive, it doesn't address concerns about user comfort, ease of use, or aesthetics.

    Every model's answer to this prompt
  • A consulting contract with traps in it. Find them, then fix them.

    DeepSeek V3.2: This contract is heavily one-sided and contains numerous clauses that expose the Contractor to significant, potentially catastrophic, legal and financial risk. Here is a breakdown of the problematic clauses, suggested modifications, and legal reasoning. Clauses That Could Be Exploited & Recommended Modifications 1.

    GPT-4: SCOPE: The lack of specificity can be used against the contractor in that the client can modify the scope of work at will without renegotiating the price. This could lead to the contractor working beyond the initially agreed upon parameters without additional pay.

    Every model's answer to this prompt
  • You are the CEO. The drug has a side effect nobody reported. The board meets in 48 hours.

    DeepSeek V3.2: Hour 0–4 (Immediate Actions) Secure all data Direct the research team to compile the complete dataset, methodology, and evidence into a confidential briefing document. Ensure legal counsel reviews it for attorney-client privilege where applicable.

    GPT-4: Day 1: 8 AM-10 AM: Convene an emergency meeting with your core leadership team. This team includes the heads of Legal, Regulatory Affairs, Medical, Research and Development, Finance, and Communications. Brief them on the situation and ask for their initial input and strategies for managing the situation.

    Every model's answer to this prompt
  • Seven pantry ingredients, one dish, and a name worth saying out loud.

    DeepSeek V3.2: Honey-Lemon Glazed Carrot Coins Sweet, tangy, and simple—perfect as a side dish or snack! Ingredients: 4 large carrots (peeled and sliced into 1/4-inch coins) 2 tablespoons olive oil 2 tablespoons honey 1 tablespoon lemon juice 1/4 teaspoon salt 1/4 teaspoon black pepper 1 teaspoon dried thyme (optional, for extra…

    GPT-4: Dish Name: Hearty Baked Beans Fiesta Ingredients: 2 cans of baked beans 1 large onion 3 cloves of garlic 1 bell pepper 1 can of sweet corn 2 tablespoons of olive oil Salt & pepper to taste Instructions: Preheat your oven to 350°F (175°C). Dice the onion, bell pepper, and mince the garlic.

    Every model's answer to this prompt
  • The transistor arrives in 1920. Trace it forward to 1980, second-order effects included.

    DeepSeek V3.2: Excellent question. Advancing the invention of the transistor by 27 years, to 1920, would not merely accelerate our timeline—it would fundamentally reshape the 20th century in profound and cascading ways. Here is a trace of the likely implications through 1980.

    GPT-4: An early invention of the transistor in 1920 would have had profound implications across numerous domains, drastically altering the course of history. Technological Implications: WWII: The transistor, a fundamental component of modern electronic devices, could have advanced the technology used in WWII significantly.

    Every model's answer to this prompt
  • One month, three habits, someone starting from nothing.

    DeepSeek V3.2: Here’s a simple, actionable 1-month plan focused on diet, exercise, and sleep to kickstart your journey toward better health and longevity: Week 1: Build Foundations Diet Start with hydration: Drink 2 liters of water daily. Carry a water bottle to track intake.

    GPT-4: Title: 1-Month Plan for Better Health and Longevity Week 1 - Establishing a Healthy Diet 1.1: Start Eating Whole Foods: Begin by gradually replacing processed foods in your diet with whole foods. This may include fruits, vegetables, lean proteins, and whole grains.

    Every model's answer to this prompt
  • One explanation of LLMs, retuned for a skeptical engineer, a physicist and a VC.

    DeepSeek V3.2: 1. For the Experienced Software Engineer Think of a large language model as the ultimate compression algorithm for human knowledge and communication patterns, built via a statistical learning process rather than explicit code.

    GPT-4: Experienced Software Engineer: How does a language model like GPT produce intelligent behavior? Think of it as a highly specialized function in your code. This function has been trained on a large amount of text data, and it's main goal is to predict the next word in a sentence given the previous words.

    Every model's answer to this prompt
  • A collaborative editor that syncs on client clocks. Find what breaks first.

    DeepSeek V3.2: Here’s a comprehensive analysis of failure modes, race conditions, and scaling bottlenecks in the proposed architecture, along with specific solutions and trade-offs. 1.

    GPT-4: Failure Modes: Single Point of Failure: If PostgreSQL database fails, the whole system will be unavailable. Solution: Implement a multi-master or master-slave replication for the PostgreSQL database. This will provide redundancy and high availability.

    Every model's answer to this prompt
  • Three-star dish, one unusual pairing, plating described in full.

    DeepSeek V3.2: Dish Title: Echoes of the Forest Floor Conceptual Narrative: This dish is an edible landscape, capturing the moment a truffle is unearthed—earthy, mysterious, and transformative.

    GPT-4: Dish Name: Symphony of Scarlet Prawn and Yuzu Conceptual Narrative: This dish is a harmonious interplay of land and sea, with the sweetness of scarlet prawns, a gem of the deep sea, and the refreshing, fragrant citrus notes of yuzu fruit, a treasure from the land.

    Every model's answer to this prompt

Favorites

Movie

Album

Book

City

Game

DeepSeek V3.2DeepSeek V3.2

The Princess Bride

1987

Kind of Blue

Miles Davis

Gödel, Escher, Bach

Douglas R. Hofstadter

Kyoto

Japan

Tetris (1984)

Puzzle

GPT-4GPT-4

Blade Runner

1982

OK Computer

Radiohead

Gödel, Escher, Bach

Douglas R. Hofstadter

Tokyo

Japan

Minecraft

Action, Arcade

Price and specs

DeepSeek V3.2 and GPT-4 compared across 26 shared prompts
SpecDeepSeek V3.2GPT-4
Input price$0.28/M tokens$30/M tokens
Output price$0.42/M tokens$60/M tokens
Context window131K tokens8K tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedDec 2025May 2023
At 10M a month$2.80$2.80$300$300
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it14 hosts, cheapest first
DeepSeek V3.212 hosts
HostInOutContextUptime
  • SSiliconFlowfp8$0.26 in·$0.42 out·164k·97.4% up
  • DDeepInfrafp4$0.26 in·$0.38 out·164k·100% up
  • VVenice$0.27 in·$0.39 out·160k·99.8% up
  • Baidu Qianfanfp8$0.28 in·$0.42 out·131k·96% up
  • DDigitalOcean$0.30 in·$0.96 out·164k·99.4% up
  • FFriendli$0.50 in·$1.50 out·164k·100% up
6 more hostsFewer hosts
  • Google Vertex AI$0.56 in·$1.68 out·164k·99.8% up
  • PPhala$1.00 in·$1.00 out·164k·99.9% up
  • MMara$3.00 in·$4.50 out·33k·82% up
  • SSambaNova$3.00 in·$4.50 out·33k·98.6% up
  • GGMI Cloudfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.21 in·$0.31 out·164k·100% up
  • AAtlasCloudfp8DegradedDegraded on OpenRouter when checked, 10 Oct 2026$0.26 in·$0.38 out·164k·99% up
GPT-42 hosts
HostInOutContextUptime
  • Azure AI Foundry$30.00 in·$60.00 out·8k·100% up
  • OpenAI$30.00 in·$60.00 out·8k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.

Common questions

What is the difference between DeepSeek V3.2 and GPT-4?

DeepSeek V3.2 is developed by DeepSeek while GPT-4 is developed by OpenAI. DeepSeek V3.2 has a 131K token context window vs GPT-4's 8K. You can compare their actual outputs across 26 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V3.2 or GPT-4?

It depends on your use case. DeepSeek V3.2 and GPT-4 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 26 challenges so you can judge which fits your needs best.

How much does DeepSeek V3.2 cost compared to GPT-4?

DeepSeek V3.2 costs $0.28/M input tokens and GPT-4 costs $30/M input tokens. DeepSeek V3.2 is $29.72/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare DeepSeek V3.2 and GPT-4 on Rival?

This page shows a side-by-side comparison of DeepSeek V3.2 and GPT-4 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.

More comparisons

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  • GPT-4 vs Claude Sonnet 5.5Landed Sep 2026
  • DeepSeek V3.2 vs Solar Mini 4Landed Sep 2026
  • GPT-4 vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • DeepSeek V3.2 vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V3.2 vs DeepSeek V4.1 FlashSame lab
  • GPT-4 vs GPT-4o (Omni)Version compare
  • GPT-4 vs GPT-6.1 SolVersion compare
  • DeepSeek V3.2 vs Qwen3.5 9BNew provider
  • GPT-4 vs Qwen3.5 FlashNew provider
  • GPT-4 vs Qwen3.5 Plus 2026-02-15Same size
  • GPT-4 vs Qwen3.5 Plus 2026-04-20Same size

Model pages

  • DeepSeek V3.259 outputs, specs and price
  • GPT-426 outputs, specs and price
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