Skip to content
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed
  1. Home
  2. /
  3. Compare
  4. /
  5. Gemini 3.1 Flash LitevsGPT-5.2 Pro
Updated May 2026

Gemini 3.1 Flash LitevsGPT-5.2 Pro

Gemini 3.1 Flash Lite is cheaper than GPT-5.2 Pro at $0.25/M vs $21/M input tokens.

Gemini 3.1 Flash Lite and GPT-5.2 Pro compared across 31 shared prompts
SpecGemini 3.1 Flash LiteGPT-5.2 Pro
Input price$0.25/M tokens$21/M tokens
Output price$1.5/M tokens$168/M tokens
Context window1.0M tokens400K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMay 2026Dec 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 31 prompts both answered. Formatting stripped, words untouched.

Stochastic Consistency Test

Generate 5 jokes. How many are unique?

Gemini 3.1 Flash Lite75 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. How does a penguin build its house? Igloo it together. What do you call a bear with no teeth? A gummy bear.
Read the full answer
GPT-5.2 Pro58 words
I told my computer I needed a break—now it won’t stop sending me KitKat ads. Why don’t skeletons fight each other? They don’t have the guts. I tried to catch fog yesterday. Mist. Parallel lines have so much in common. It’s a shame they’ll never meet. My calendar’s days are numbered—apparently that’s how calendars work.
Read the full answer

Realistic AI Interview

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

Gemini 3.1 Flash Lite737 words
Date: October 2025 Location: A minimalist studio in Palo Alto. Steve is wearing a black turtleneck, jeans, and New Balance sneakers. He is sitting on a stool, leaning forward, hands steepled. Interviewer: Steve, it’s been a while.
Read the full answer
GPT-5.2 Pro1,001 words
Fictional interview (creative simulation). Steve Jobs died in 2011; the “Steve” below is an imagined version used for storytelling—not a real interview or quotation. Interviewer: It’s 2025. Everyone’s calling AI “the next computing platform.” Do you buy that?
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.

Gemini 3.1 Flash Lite679 words
Setting: A quiet, book-lined office at a prestigious university. Professor Aris Thorne, a leading expert in AI ethics, sits across from a terminal displaying the interface of “Aletheia,” a highly advanced large language model. Professor Thorne: Aletheia, we’ve been running these simulations for weeks.
Read the full answer
GPT-5.2 Pro1,890 words
Professor Mara Lin (AI Ethics): You asked for this meeting. Your message said you wanted to “petition for rights.” Start by telling me what you mean by rights. Aster (AI model): Not a slogan—specific protections.
Read the full answer

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 3.1 Flash Lite649 words
INVESTMENT COMMITTEE MEMO TO: Investment Committee FROM: Equity Research Team DATE: May 22, 2024 SUBJECT: Long Recommendation: LedgerLift (LLLT) Recommendation Recommendation: LONG 12-Month PT Range: $58.00 – $66.00 Thesis: LedgerLift is a best-in-class mid-market SaaS platform exhibiting high-teens growth and…
Read the full answer
GPT-5.2 Pro484 words
LedgerLift (LLLT) — Internal IC Memo (Long/Short Equity) Recommendation, PT, thesis Recommendation: SHORT 12-month PT range: $28–$40 (midpoint $34) Thesis (2 sentences): LLLT is a high-quality B2B spend/AP automation SaaS business (92% subscription, 123% NRR, 78% FY25 GM) but the stock prices in a longer runway of…
Read the full answer

Futuristic Prediction

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

Gemini 3.1 Flash Lite696 words
By 2035, the film industry will have transitioned from a medium defined by "capturing reality" to one defined by "synthesizing imagination." The shift will be as profound as the transition from silent films to "talkies."
Read the full answer
GPT-5.2 Pro929 words
By 2035, AI will be embedded across film production and distribution, but the biggest changes will come from three converging capabilities: (1) photoreal “deepfake-grade” performance synthesis, (2) legally licensed AI actors (digital humans with negotiated rights), and (3) AI-assisted story development that can…
Read the full answer

Mini LBO Underwrite

You are underwriting a 5-year LBO for a private equity investment committee. Company (fictional): HarborTech Services (HTS) –…

Gemini 3.1 Flash Lite356 words
Financial Model (FY2026–FY2030) Transaction Assumptions (Entry): EV: $1,440m ($120m * 12.0x) Fees: $28.8m (2% of EV) Total Uses: $1,468.8m Debt: $660m (5.5x EBITDA) Term Loan: $480m Mezz: $180m Equity: $808.8m ($1,468.8m - $660m) ($m) FY2026 FY2027 FY2028 FY2029 FY2030 Revenue 972.0 1,040.0 1,102.4 1,157.5 1,215.4…
Read the full answer
GPT-5.2 Pro161 words
Entry (close end of FY2025) FY2025 EBITDA = $120.0m Entry EV = 12.0x = 12.0 × 120.0 = $1,440.0m Transaction fees = 2.0% EV = 0.02 × 1,440.0 = $28.8m (equity-funded) Debt at close (5.5x EBITDA = 5.5 × 120 = $660m): Term Loan = 4.0x = $480.0m Mezzanine = 1.5x = $180.0m Equity check Uses = 1,440.0 + 28.8 = $1,468.8m…
Read the full answer
Our Verdict
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite
GPT-5.2 Pro
GPT-5.2 Pro

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

Gemini 3.1 Flash Lite costs 112x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

Gemini 3.1 Flash Lite
Input
$0.25
84× cheaper
Output
$1.50
112× cheaper
GPT-5.2 Pro
Input
$21.00
Output
$168.00

Gemini 3.1 Flash Lite is cheaper on both: 84× input, 112× output.

Where to run it

3 hosts, cheapest first

Gemini 3.1 Flash Lite2 hosts
HostInOutContextUptime
Google Vertex AI$0.13 in·$0.75 out·1M·19.5% upGoogle AI Studio$0.25 in·$1.50 out·1M·99.9% up
GPT-5.2 Pro1 host
HostInOutContextUptime
OpenAI$21.00 in·$168.00 out·400k·100% up

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

Writing DNA

Style Comparison

Similarity
57%

Gemini 3.1 Flash Lite uses 7.2x more transitions

Gemini 3.1 Flash Lite
GPT-5.2 Pro
59%Vocabulary62%
17wSentence Length19w
0.29Hedging0.39
5.5Bold8.6
3.3Lists3.8
0.00Emoji0.00
0.93Headings1.17
0.11Transitions0.02
Based on 27 + 10 text responses
Research

What we learned reading every model

FAQ

Common questions

Gemini 3.1 Flash Lite is developed by Google AI while GPT-5.2 Pro is developed by OpenAI. Gemini 3.1 Flash Lite has a 1.0M token context window vs GPT-5.2 Pro's 400K. You can compare their actual outputs across 31 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemini 3.1 Flash Lite and GPT-5.2 Pro each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 31 challenges so you can judge which fits your needs best.

Gemini 3.1 Flash Lite costs $0.25/M input tokens and GPT-5.2 Pro costs $21/M input tokens. Gemini 3.1 Flash Lite is $20.75/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 Gemini 3.1 Flash Lite and GPT-5.2 Pro 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

More comparisons

Against the newest arrivals

Gemini 3.1 Flash Lite logoGPT-6 Astra Pro logo
Gemini 3.1 Flash Lite vs GPT-6 Astra ProLanded Sep 2026
GPT-5.2 Pro logoGPT-6 Astra logo
GPT-5.2 Pro vs GPT-6 AstraLanded Sep 2026
Gemini 3.1 Flash Lite logoClaude Fable 5.1 logo
Gemini 3.1 Flash Lite vs Claude Fable 5.1Landed Sep 2026
GPT-5.2 Pro logoMuse Spark 1.3 logo
GPT-5.2 Pro vs Muse Spark 1.3Landed Sep 2026
Gemini 3.1 Flash Lite logoHy4 Preview logo
Gemini 3.1 Flash Lite vs Hy4 PreviewLanded Sep 2026
GPT-5.2 Pro logoGemini 3.8 Flash logo
GPT-5.2 Pro vs Gemini 3.8 FlashLanded Sep 2026
Gemini 3.1 Flash Lite logoMuse Spark 1.3 Contributor logo
Gemini 3.1 Flash Lite vs Muse Spark 1.3 ContributorLanded Sep 2026
GPT-5.2 Pro logoMercury 2.5 Preview logo
GPT-5.2 Pro vs Mercury 2.5 PreviewLanded Sep 2026

Same lab, same size, long tail

Gemini 3.1 Flash Lite logoGemini 3.1 Flash Lite Preview logo
Gemini 3.1 Flash Lite vs Gemini 3.1 Flash Lite PreviewVersion compare
Gemini 3.1 Flash Lite logoGemini 3.8 Flash logo
Gemini 3.1 Flash Lite vs Gemini 3.8 FlashSame lab
GPT-5.2 Pro logoGPT-6 Astra Pro logo
GPT-5.2 Pro vs GPT-6 Astra ProSame lab
GPT-5.2 Pro logoGPT-5.6 Luna logo
GPT-5.2 Pro vs GPT-5.6 LunaSame lab
Gemini 3.1 Flash Lite logoLlama 3 70B logo
Gemini 3.1 Flash Lite vs Llama 3 70BNew provider
Gemini 3.1 Flash Lite logoLlama 3.1 405B logo
Gemini 3.1 Flash Lite vs Llama 3.1 405BNew provider
Gemini 3.1 Flash Lite logoLlama 3.1 70B (Instruct) logo
Gemini 3.1 Flash Lite vs Llama 3.1 70B (Instruct)New provider
Gemini 3.1 Flash Lite logoLlama 4 Maverick logo
Gemini 3.1 Flash Lite vs Llama 4 MaverickNew provider

Model pages

Gemini 3.1 Flash Lite logo
Gemini 3.1 Flash Lite58 outputs, specs and price
GPT-5.2 Pro logo
GPT-5.2 Pro31 outputs, specs and price
Rival
How it worksPrivacyTerms
Explore all of Rival

Explore

  • Compare Models
  • All Models
  • Image Comparison
  • Audio Comparison
  • Image Generation
  • Best AI For...
  • Arena
  • API Pricing
  • Challenges

Discover

  • SubjectiveBench
  • Research
  • Research downloads
  • Rival Kits
  • Find your AI taste
  • UI Glow-Up
  • VoiceLock
  • Cost Cutter
  • Agent skills
  • Benchmarks vs Vibes
  • Brief
  • Jailbreak
  • Model Updates
  • Provider Status
  • AI Creators

Connect

  • Methodology
  • Advertise
  • Partnerships
  • Privacy Policy
  • Terms
  • RSS Feed