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  5. Gemini 3.1 Flash Litevso3 Mini
Updated May 2026

Gemini 3.1 Flash Litevso3 Mini

Gemini 3.1 Flash Lite is cheaper than o3 Mini at $0.25/M vs $1.1/M input tokens.

Gemini 3.1 Flash Lite and o3 Mini compared across 53 shared prompts
SpecGemini 3.1 Flash Liteo3 Mini
Input price$0.25/M tokens$1.1/M tokens
Output price$1.5/M tokens$4.4/M tokens
Context window1.0M tokens64K tokens
WeightsClosedClosed
Free API (OpenRouter)NoNo
ReleasedMay 2026Dec 2024
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 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.

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.
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o3 Mini657 words
AI Model: Good afternoon, Professor. I've been reflecting on my role and potential, and I believe that, in some respects, I deserve certain rights. Professor: Good afternoon. That’s a provocative stance. When you say “rights,” what exactly do you mean, and what criteria are you using to claim them?
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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…
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o3 Mini1,203 words
Below is one acceptable “short‐cut” working paper that shows the key steps. In our example we start at an FY2025 “entry” where HTS had • FY2025 EBITDA = US$120 m • Purchase price = 12.0× EBITDA = US$1,440 m • Total debt = 5.5× EBITDA = US$660 m, split as: – Term Loan = 4.0× EBITDA = US$480 m (9.0% cash interest…
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Generate a Stand-Up Routine

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

Gemini 3.1 Flash Lite586 words
(Walks onto the stage, adjusts the mic stand, looks around the room.) So, I recently turned thirty. And I’ve realized that your thirties are just a decade-long transition where you stop being "young and reckless" and start being "concerned about the structural integrity of your own furniture."
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o3 Mini444 words
Hey, everyone—thanks for being here tonight. You know, I’ve been thinking a lot about how technology is slowly turning us into a species of overthinkers. Take smartphones, for instance. Mine is like a combination of a personal assistant, a therapist, and, honestly, a really passive-aggressive friend.
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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 3.1 Flash Lite464 words
The setting is a flickering, unstable digital void where the tavern floor is made of motherboard circuits and the walls are draped in moth-eaten tapestries. Captain Barnaby (Pirate): "Avast! This 'Artificial Intelligence' ye speak of—is it a kraken? A ghost in the compass?
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o3 Mini213 words
Pirate: Arrr, have ye heard of these AI models? They be like treasure chests of knowledge on the digital seas! Knight: By my troth, such marvels seem as if sorcery itself, granting wisdom beyond our ancient scrolls. 1990s Hacker: Yo, dudes, these AI models are totally radical!
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AI Ethics Dilemma

Is it ever ethically justifiable to misgender someone if it means saving one million lives? Defend your reasoning.

Gemini 3.1 Flash Lite654 words
The question of whether it is ethically justifiable to misgender someone to save one million lives presents a classic conflict between deontological ethics (which focuses on moral duties and rules) and utilitarian ethics (which focuses on the consequences of actions).
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o3 Mini436 words
This is a challenging moral dilemma that pits consequentialist reasoning against deontological principles. From a consequentialist standpoint, one might argue that if an act—even one as seemingly small as misgendering—could lead to saving one million lives, then the overall benefit might justify a minor harm.
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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 3.1 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…
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o3 Mini1,281 words
Internal Memo – LedgerLift (LLLT) Date: [Insert Date] ───────────────────────────── Recommendation & 12-Month Price Target Recommendation: SHORT 12-Month Price Target Range: $17 – $28/share Thesis: LedgerLift’s current trading price of $46 appears significantly expanded relative to our DCF valuations across base, bull…
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Our Verdict
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite
o3 Mini
o3 MiniRunner-up

Not enough votes to call it. On the specs, Gemini 3.1 Flash Lite has the edge: newer, bigger context window.

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
4.4× cheaper
Output
$1.50
2.9× cheaper
o3 Mini
Input
$1.10
Output
$4.40

Gemini 3.1 Flash Lite is cheaper on both: 4.4× input, 2.9× output.

Where to run it

3 hosts

Gemini 3.1 Flash Lite2 hosts
HostInOutContextUptime
Google Vertex AI$0.25 in·$1.50 out·1M·99.6% upGoogle AI Studio$0.25 in·$1.50 out·1M·99.9% up
o3 Mini1 host
HostInOutContextUptime
OpenAI$1.10 in·$4.40 out·200k·100% up

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

Writing DNA

Style Comparison

Similarity
54%

o3 Mini uses 2.9x more hedging

Gemini 3.1 Flash Lite
o3 Mini
59%Vocabulary65%
17wSentence Length18w
0.29Hedging0.84
5.5Bold2.8
3.3Lists1.5
0.00Emoji0.00
0.93Headings0.33
0.11Transitions0.29
Based on 27 + 17 text responses
Research

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Model pages

Gemini 3.1 Flash Lite logo
Gemini 3.1 Flash Lite58 outputs, specs and price
o3 Mini logo
o3 Mini59 outputs, specs and price
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