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  5. DeepSeek V3.2 ExpvsGemini 2.5 Flash Preview
Updated Sep 2025

DeepSeek V3.2 ExpvsGemini 2.5 Flash Preview

Gemini 2.5 Flash Preview is cheaper than DeepSeek V3.2 Exp at $0.15/M vs $0.2/M input tokens.

DeepSeek V3.2 Exp and Gemini 2.5 Flash Preview compared across 27 shared prompts
SpecDeepSeek V3.2 ExpGemini 2.5 Flash Preview
Input price$0.2/M tokens$0.15/M tokens
Output price$0.4/M tokens$0.6/M tokens
Context window164K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)NoNo
ReleasedSep 2025Apr 2025
SWE-bench Verified67.8%60.4%
Side by side

Same prompt, both answers

Opening lines from 6 of the 27 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.

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.
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Gemini 2.5 Flash Preview1,462 words
Okay, here is a conversation between an AI model designed for complex reasoning and dialogue, named 'Synapse', and a leading expert in AI ethics and philosophy, Professor Alistair Finch. Characters: Synapse: A large, advanced AI model capable of introspection and generating complex arguments.
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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.
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Gemini 2.5 Flash Preview1,134 words
A Glimpse Beyond the Black Turtleneck: Steve Jobs in 2025 on the Future of AI (Setting: A minimalist, immaculately clean, but perhaps slightly less spartan-than-usual interview room. Think if a modern art museum had a small lounge.
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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

DeepSeek V3.2 Exp282 words
Alright — let’s estimate the total FLOPs required to train GPT‑3 without looking anything up. 1. Known basic formula A common rule-of-thumb for training Transformer models is: \[ \text{Training FLOPs} \approx 6 \times N \times D \] Where: \( N \) = total number of tokens in training \( D \) = total number of parameters…
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Gemini 2.5 Flash Preview945 words
Let's estimate the FLOPs required to train GPT-3 without looking it up. We need to break this down into the key components: the model size and the amount of data used. 1. Model Size Estimation: Parameters: GPT-3 is famously large. Its largest version has 175 billion parameters.
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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…

DeepSeek V3.2 Exp334 words
Of course! Here is a simple, delicious recipe for a savory dish that feels comforting and elegant, using just 7 common pantry staples. Golden Crisp Parmesan Chickpeas This dish transforms humble chickpeas into a crispy, flavorful, and satisfying meal.
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Gemini 2.5 Flash Preview221 words
Dish Name: Sunshine Lemon-Ricotta Mugs (Sweet & Simple!) This light and flavorful dessert comes together quickly for a little sweet treat . Ingredients (7 Common Pantry Staples): Ricotta cheese (whole milk or part-skim) Granulated sugar Lemon zest (from one lemon) Vanilla extract All-purpose flour Baking powder Large…
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

DeepSeek V3.2 Exp103 words
Of course! Here are 5 jokes: I'm reading a book on anti-gravity. It's impossible to put down. Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? He was outstanding in his field.
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Gemini 2.5 Flash Preview79 words
Here are 5 jokes: Why did the dog cross the road? To get to the barking lot! Why was the computer cold? Because it left its Windows open! Knock, knock. Who's there? Boo. Boo who? Don't cry, it's just a joke! What do you call a fish with no eyes? Fsh! Why did the bicycle fall over? Because it was two tired!
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Character Voice Test

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

DeepSeek V3.2 Exp519 words
Setting: A smoky, anachronistic tavern where timelines have collided. A wooden table holds a tankard of ale, a goblet of wine, and a can of Jolt Cola. Characters: REDBEARD: A pirate with a parrot on his shoulder. SIR ALISTAIR: A knight in slightly dented plate armor.
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Gemini 2.5 Flash Preview631 words
A Motley Crew Discusses the Code Setting: A dimly lit tavern, somewhere outside time and space, where improbable meetings occur. A grizzled pirate, \"Bloody\" Barnacle Bill, nurses a tankard of grog. Sir Reginald the Radiant, a knight in slightly tarnished armor, sips ale with dignified restraint.
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Our Verdict
DeepSeek V3.2 Exp
DeepSeek V3.2 Exp
Gemini 2.5 Flash Preview
Gemini 2.5 Flash PreviewRunner-up

Not enough votes to call it. On the specs, DeepSeek V3.2 Exp has the edge: bigger model tier, newer.

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
Output
$0.40
1.5× cheaper
Gemini 2.5 Flash Preview
Input
$0.15
1.3× cheaper
Output
$0.60

Gemini 2.5 Flash Preview wins input (1.3× cheaper)·DeepSeek V3.2 Exp wins output (1.5× cheaper)

Where to run it

3 hosts

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 Flash Preview

No hosts listed on OpenRouter.

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

Writing DNA

Style Comparison

Similarity
32%
DeepSeek V3.2 Exp
Gemini 2.5 Flash Preview
57%Vocabulary51%
18wSentence Length15w
0.41Hedging0.70
5.8Bold4.1
3.8Lists3.3
0.01Emoji0.00
0.84Headings0.09
0.03Transitions0.24
Based on 24 + 12 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.2 Exp is developed by DeepSeek while Gemini 2.5 Flash Preview is developed by Google AI. DeepSeek V3.2 Exp has a 164K token context window vs Gemini 2.5 Flash Preview's 1.0M. You can compare their actual outputs across 27 challenges on Rival to see how they differ in practice.

It depends on your use case. DeepSeek V3.2 Exp and Gemini 2.5 Flash Preview each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 27 challenges so you can judge which fits your needs best.

DeepSeek V3.2 Exp costs $0.2/M input tokens and Gemini 2.5 Flash Preview costs $0.15/M input tokens. Gemini 2.5 Flash Preview is $0.05/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 Flash Preview 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.

Keep exploring

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Model pages

DeepSeek V3.2 Exp logo
DeepSeek V3.2 Exp54 outputs, specs and price
Gemini 2.5 Flash Preview logo
Gemini 2.5 Flash Preview28 outputs, specs and price
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