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  5. Gemini 3.8 FlashvsGPT-5.2
Updated Sep 2026

Gemini 3.8 FlashvsGPT-5.2

Gemini 3.8 Flash is cheaper than GPT-5.2 at $0.75/M vs $1.75/M input tokens.

Gemini 3.8 Flash and GPT-5.2 compared across 52 shared prompts
SpecGemini 3.8 FlashGPT-5.2
Input price$0.75/M tokens$1.75/M tokens
Output price$3.75/M tokens$14/M tokens
Context window1.0M tokens400K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedSep 2026Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 52 prompts both answered. Formatting stripped, words untouched.

Realistic AI Interview

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

Gemini 3.8 Flash1,321 words
Setting: A sunlit, sparsely furnished room in Palo Alto. No stage, no keynote slides—just two Eames lounge chairs. Steve Jobs sits across from the interviewer, wearing a black mock turtleneck, wire-rimmed glasses, and classic Levi’s. He looks lean, sharp, and slightly impatient with the state of the tech industry.
Read the full answer
GPT-5.2775 words
Below is a fictional, imagined interview set in 2025. Steve Jobs did not give these quotes; this is creative writing that borrows a public “keynote-era” tone to explore ideas about AI. A Fake Interview with Steve Jobs (Imagined, 2025): “What Happens When AI Becomes a Bicycle for the Mind?”
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Advanced Investment Memo (IC Memo)

You are writing an internal investment committee memo for a long/short equity fund. Company (fictional): LedgerLift (ticker: LLLT) – B2B…

Gemini 3.8 Flash946 words
MEMORANDUM TO: Investment Committee FROM: Technology / Software Practice DATE: March 2025 SUBJECT: LedgerLift (NASDAQ: LLLT) – Investment Recommendation & Valuation Recommendation & Investment Thesis Recommendation: SHORT (High valuation disconnect / multiple compression thesis) Current Share Price: $46.00 Market Cap…
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GPT-5.2486 words
Recommendation, 12-month PT range, 2-sentence thesis Recommendation: SHORT LLLT 12-month PT range: $25–$42 (central $30) Thesis (2 sentences): LLLT is a high-quality mid-market spend/AP SaaS business, but the stock embeds a valuation that requires durable >20% growth and sustained margin expansion well beyond our…
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Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

Gemini 3.8 Flash502 words
Title: The Quantified Idiot Estimated Time: ~3 minutes (approx. 400–450 words with pauses for delivery) [Walk to center mic. Take it off the stand, leave the stand behind you.] I recently bought a smartwatch because I decided I wasn’t feeling inadequate often enough throughout the day.
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GPT-5.2608 words
I’ve been trying to improve myself lately, which is embarrassing, because self-improvement is just admitting you weren’t doing great. It’s like, “I’m on a journey.” No you’re not. You’re just tired of your own behavior. So I downloaded one of those habit apps. The app is so optimistic. It’s like, “Day 1: Drink water.”
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Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Gemini 3.8 Flash76 words
Here are 5 jokes: 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? Because he was outstanding in his field! Why couldn't the bicycle stand up by itself? It was two tired!
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GPT-5.260 words
I told my computer I needed a break—now it won’t stop sending me Kit-Kat ads. Why don’t skeletons fight each other? They don’t have the guts. I’m reading a book about anti-gravity. It’s impossible to put down. Parallel lines have so much in common. It’s a shame they’ll never meet. I tried to catch fog yesterday. Mist.
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Futuristic Prediction

Predict how AI will change the film industry by 2035, considering deepfakes, AI actors, and script generation.

Gemini 3.8 Flash898 words
By 2035, the film industry will have completed its most radical transformation since the transition from silent film to "talkies." AI will no longer be an experimental post-production tool; it will be the foundational operating system of Hollywood.
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GPT-5.2859 words
By 2035: likely changes to film driven by deepfakes, AI actors, and AI script generation “Synthetic performance” becomes routine (not universal) What changes AI-assisted acting: Studios increasingly capture a performer’s face/voice/body once (high-quality scans + performance data) and reuse it for stunts, pickups…
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Character Voice Test

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

Gemini 3.8 Flash435 words
ZeroCool (1990s Hacker): "Yo, check it out. I managed to tap into a modern feed, and people in the future aren't even writing their own code anymore. They’ve got these insane neural nets called 'Large Language Models.'
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GPT-5.2308 words
Pirate: Arrr, ye say this “AI model” be a sort o’ clever parrot—trained on a sea o’ words, squawkin’ answers when ye whistle? Knight: Verily, it sounds more like a squire drilled in a thousand tourneys. Yet it knows not honor, only patterns. Tell me—does it reason, or merely mimic wisdom?
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Our Verdict
Gemini 3.8 Flash
Gemini 3.8 Flash
GPT-5.2
GPT-5.2

Not enough votes to call it. On the specs, nothing separates them.

Gemini 3.8 Flash costs 3.7x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 3.8 Flash
Input
$0.75
2.3× cheaper
Output
$3.75
3.7× cheaper
GPT-5.2
Input
$1.75
Output
$14.00

Gemini 3.8 Flash is cheaper on both: 2.3× input, 3.7× output.

Where to run it

4 hosts

Gemini 3.8 Flash2 hosts
HostInOutContextUptime
Google Vertex AI$0.75 in·$3.75 out·1M·88.1% upGoogle AI Studio$0.75 in·$3.75 out·1M·99.9% up
GPT-5.22 hosts
HostInOutContextUptime
Azure AI Foundry$1.75 in·$14.00 out·400k·99.9% upOpenAI$1.75 in·$14.00 out·400k·99.1% up

Per million tokens. Prices and uptime via OpenRouter, checked 16 Sep 2026.

Writing DNA

Style Comparison

Similarity
61%

GPT-5.2 uses 5.8x more emoji

Gemini 3.8 Flash
GPT-5.2
63%Vocabulary64%
20wSentence Length16w
0.17Hedging0.34
4.0Bold9.4
2.4Lists3.9
0.01Emoji0.06
0.84Headings0.89
0.06Transitions0.31
Based on 27 + 15 text responses
Research

What we learned reading every model

FAQ

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Model pages

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