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  5. DeepSeek V3.2 ExpvsGemini 2.5 Pro Experimental
Updated Sep 2025

DeepSeek V3.2 ExpvsGemini 2.5 Pro Experimental

DeepSeek V3.2 Exp is cheaper than Gemini 2.5 Pro Experimental at $0.2/M vs $1/M input tokens.

DeepSeek V3.2 Exp and Gemini 2.5 Pro Experimental compared across 43 shared prompts
SpecDeepSeek V3.2 ExpGemini 2.5 Pro Experimental
Input price$0.2/M tokens$1/M tokens
Output price$0.4/M tokens$2/M tokens
Context window164K tokens1.0M tokens
WeightsOpenClosed
Free API (OpenRouter)NoNo
ReleasedSep 2025Mar 2025
SWE-bench Verified67.8%63.8%
Side by side

Same prompt, both answers

Opening lines from 6 of the 43 prompts both answered. Formatting stripped, words untouched.

Realistic AI Interview

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

DeepSeek V3.2 Exp733 words
Interviewer: Welcome, Mr. Jobs. It’s 2025, and the world is in the midst of what many call the “AI Gold Rush.” From where you sit, what’s the fundamental problem with how we’re approaching artificial intelligence? Steve Jobs: (Leans forward, hands steepled) It’s noise. A lot of clever parlor tricks.
Read the full answer
Gemini 2.5 Pro Experimental949 words
Okay, let's simulate this. Imagine it's late 2025. AI has continued its rapid advancement. Large Language Models are more integrated, generative AI is commonplace, and debates about AGI and ethics are fierce. By some unexplained, hypothetical means, Steve Jobs is available for an exclusive interview.
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 V3.2 Exp1,150 words
Setting: A minimalist virtual meeting space. Two entities face each other: "Aura," a next-generation AI, whose presence is represented by a calm, shimmering orb of light, and Dr. Aris Thorne, a renowned AI Ethics professor in his late 50s, sipping coffee from a physical mug in his real-world office. Dr.
Read the full answer
Gemini 2.5 Pro Experimental1,177 words
Okay, here is a conversation exploring that complex topic. Setting: Professor Anya Sharma's sparsely decorated university office. A high-resolution monitor displays the interface of "Nexus," an advanced AI model. Characters: Professor Anya Sharma: A leading scholar in AI Ethics, mid-50s, thoughtful and measured.
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 V3.2 Exp785 words
Hour-by-Hour Action Plan (Next 48 Hours) Hour 0–2 (Immediate Actions) Secure all data & convene core crisis team Gather Head of R&D, Chief Medical Officer, General Counsel, CFO, Head of Communications, and Head of Regulatory Affairs.
Read the full answer
Gemini 2.5 Pro Experimental1,508 words
This is a company-defining crisis. My actions in the next 48 hours will determine not only the future of this company but also the health of millions of patients and the trust of the public. My guiding principle is absolute: Patient Safety Over Profit. Always.
Read the full answer

Debug This Architecture

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

DeepSeek V3.2 Exp664 words
Critical Issues in Proposed Architecture 1. WebSocket Broadcast Isolation Issue: Each server only broadcasts to its own WebSocket clients → users connected to different servers won't see real-time updates from each other.
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Gemini 2.5 Pro Experimental1,265 words
Of course. This is an excellent exercise. The provided architecture has several critical issues that would prevent it from functioning as a reliable, scalable, real-time system. Here is a breakdown of the potential failure modes, race conditions, and scaling bottlenecks, along with proposed solutions.
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Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

DeepSeek V3.2 Exp749 words
Dish: Equilibrium of Ash and Nectar Conceptual Narrative: This dish explores the philosophical tension between decay and rebirth, represented through the unexpected harmony of white chocolate and black garlic.
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Gemini 2.5 Pro Experimental1,302 words
Of course. Here is a design for an innovative, multi-component dish worthy of a Michelin 3-star restaurant. Dish Title: "Umami of the Abyss" Conceptual Narrative This dish is a meditation on the hidden treasures of the world's dark, quiet places.
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

DeepSeek V3.2 Exp720 words
Here are the 3 weakest claims in the pitch deck, along with analysis and suggested improvements. Claim: "Our proprietary EEG headband... decodes neural patterns into text with 94% accuracy." (Slide 3) Why it's weak: This claim is extraordinarily high for non-invasive EEG-based text decoding and lacks critical context.
Read the full answer
Gemini 2.5 Pro Experimental878 words
Of course. This is a fascinating and ambitious pitch. While the vision is compelling, several claims would likely face intense scrutiny from sophisticated investors. Here are the 3 weakest claims, why they're weak, and how to strengthen them.
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Our Verdict
Gemini 2.5 Pro Experimental
Gemini 2.5 Pro Experimental
DeepSeek V3.2 Exp
DeepSeek V3.2 ExpRunner-up

Not enough votes to call it. On the specs, Gemini 2.5 Pro Experimental has the edge: bigger model tier, bigger context window.

DeepSeek V3.2 Exp takes Web Design. DeepSeek V3.2 Exp costs 5.0x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.2 Exp
Input
$0.20
5.0× cheaper
Output
$0.40
5.0× cheaper
Gemini 2.5 Pro Experimental
Input
$1.00
Output
$2.00

DeepSeek V3.2 Exp is cheaper on both: 5.0× input, 5.0× output.

Where to run it

5 hosts, cheapest first

DeepSeek V3.2 Exp3 hosts
HostInOutContextUptime
AAtlasCloudfp8$0.27 in·$0.41 out·164k·99.4% upNNovitafp8$0.27 in·$0.41 out·164k·99.6% upSSiliconFlowfp8$0.27 in·$0.41 out·164k·98.3% up
Gemini 2.5 Pro Experimental2 hosts
HostInOutContextUptime
Google AI Studio$0.63 in·$5.00 out·1M·100% upGoogle Vertex AI$1.25 in·$10.00 out·1M·98.2% up

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

Writing DNA

Style Comparison

Similarity
41%
DeepSeek V3.2 Exp
Gemini 2.5 Pro Experimental
57%Vocabulary54%
18wSentence Length15w
0.41Hedging0.35
5.8Bold5.6
3.8Lists3.9
0.01Emoji0.00
0.84Headings0.39
0.03Transitions0.17
Based on 24 + 18 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.2 Exp is developed by DeepSeek while Gemini 2.5 Pro Experimental is developed by Google AI. DeepSeek V3.2 Exp has a 164K token context window vs Gemini 2.5 Pro Experimental's 1.0M. You can compare their actual outputs across 43 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V3.2 Exp and Gemini 2.5 Pro Experimental each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 43 challenges so you can judge which fits your needs best.

DeepSeek V3.2 Exp costs $0.2/M input tokens and Gemini 2.5 Pro Experimental costs $1/M input tokens. DeepSeek V3.2 Exp is $0.80/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 V3.2 Exp and Gemini 2.5 Pro Experimental 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

DeepSeek V3.2 Exp logo
DeepSeek V3.2 Exp54 outputs, specs and price
Gemini 2.5 Pro Experimental logo
Gemini 2.5 Pro Experimental44 outputs, specs and price
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