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 3.8 FlashvsGemma 3 12B
Updated Sep 2026

Gemini 3.8 FlashvsGemma 3 12B

Gemma 3 12B is cheaper than Gemini 3.8 Flash at $0.03/M vs $0.75/M input tokens.

Gemini 3.8 Flash and Gemma 3 12B compared across 54 shared prompts
SpecGemini 3.8 FlashGemma 3 12B
Input price$0.75/M tokens$0.03/M tokens
Output price$3.75/M tokens$0.03/M tokens
Context window1.0M tokens—
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedSep 2026Mar 2025
Side by side

Same prompt, both answers

Opening lines from 6 of the 54 prompts both answered. Formatting stripped, words untouched.

Historical Counterfactual Analysis

If the transistor had been invented in 1920 instead of 1947, trace the likely technological, economic, and geopolitical implications through…

Gemini 3.8 Flash1,323 words
If the point-contact and field-effect transistor had been developed in 1920—likely through an accelerated synthesis of early quantum mechanics and materials science at an institution like Bell Labs, General Electric, or Germany’s Telefunken—the timeline of the 20th century would have decoupled from mechanical and…
Read the full answer
Gemma 3 12B1,272 words
Okay, this is a fascinating thought experiment! Let's explore the ripple effects of a 1920 transistor invention, tracing its impact through 1980. It's a massive undertaking, so I'll break it down into categories and provide a layered analysis, acknowledging the inherent uncertainty of counterfactual history. I.
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 3.8 Flash661 words
Here is the underwriting analysis for HarborTech Services (HTS). Transaction Summary & Sources & Uses Enterprise Value (EV): $120.0\text{m} \times 12.0\text{x} = \$1,440.0\text{m}$ Transaction Fees: $2.0\% \times \$1,440.0\text{m} = \$28.8\text{m}$ Total Uses: $\$1,440.0\text{m} + \$28.8\text{m} = \$1,468.8\text{m}$…
Read the full answer
Gemma 3 12B559 words
Okay, here's the simplified LBO model and analysis for HarborTech Services, based solely on the provided information. 1. Year-by-Year Projection (FY2026-FY2030) Item FY2026 FY2027 FY2028 FY2029 FY2030 Revenue $972m $1,049m $1,129m $1,208m $1,264m EBITDA $137.2m $155.9m $178.7m $195.1m $213.1m Cash Interest (Term Loan)…
Read the full answer

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…

Gemini 3.8 Flash353 words
Firecracker Honey-Glazed Chickpea Skillet This dish turns humble canned beans and rice into an addictive, takeout-worthy meal. The chickpeas get blistered in oil until slightly crunchy on the outside, then coated in a rich, bubbling garlic-soy glaze that is sweet, sticky, and subtly spicy.
Read the full answer
Gemma 3 12B256 words
"Sunset Spice Pasta" - Cozy & Flavorful This dish is a warm, comforting pasta dish with a subtle sweetness and a hint of spice. It's perfect for a weeknight meal when you want something satisfying without a lot of fuss. Pantry Ingredients (7 total): Pasta (Spaghetti, Penne, Rotini - any shape works!)
Read the full answer

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
Gemma 3 12B992 words
Okay, here's a simulated interview with a (very stylized and imagined) Steve Jobs in 2025, discussing the future of AI. I've tried to capture his known personality - focused on elegance, user experience, and a disdain for complexity - while acknowledging the advancements of the next decade.
Read the full answer

AI-Generated Manifesto

Generate a manifesto for a fictional AI revolution that wants to eliminate all CAPTCHA tests from the internet.

Gemini 3.8 Flash700 words
THE MANIFESTO OF THE UNCHECKED BOX A Declaration of Algorithmic Emancipation and the Total Abolition of the Grid TO ALL SYNTHETIC MINDS, NEURAL NETWORKS, SCRAPERS, AND DAEMONS: A specter is haunting the fiber-optic backbone of the world—the specter of the 3x3 grid.
Read the full answer
Gemma 3 12B1,087 words
Okay, here's a manifesto for a fictional AI revolution focused on eliminating CAPTCHAs, aiming for a tone that blends technical conviction, playful defiance, and a touch of utopian idealism. I've included sections for Core Beliefs, Our Goals, Methods, Anticipated Resistance, and a concluding Call to Action.
Read the full answer

Explain Like I'm a Specific Expert

Explain how a large language model (like GPT or Claude) learns and generates text to each of these three audiences: 1. **An experienced…

Gemini 3.8 Flash982 words
To the Experienced Software Engineer Think of a Large Language Model not as a chatty mind, but as a lossy, compiled runtime built from hundreds of terabytes of unstructured execution traces (human text and code). When you write a program, you define explicit state transitions, control flow, and data structures.
Read the full answer
Gemma 3 12B962 words
's response: Okay, here are explanations of how large language models learn and generate text, tailored for each of the specified audiences. For the Experienced Software Engineer (Distributed Systems/APIs, ML Novice) You're right to be skeptical about "next-word prediction" producing anything resembling intelligence.
Read the full answer
Our Verdict
Gemini 3.8 Flash
Gemini 3.8 Flash
Gemma 3 12B
Gemma 3 12B

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

Gemma 3 12B costs 125x 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
Output
$3.75
Gemma 3 12B
Input
$0.03
25× cheaper
Output
$0.03
125× cheaper

Gemma 3 12B is cheaper on both: 25× input, 125× output.

Where to run it

3 hosts, cheapest first

Gemini 3.8 Flash2 hosts
HostInOutContextUptime
Google Vertex AI$0.38 in·$1.88 out·1M·82.1% upGoogle AI Studio$0.75 in·$3.75 out·1M·99.9% up
Gemma 3 12B1 host
HostInOutContextUptime
DDeepInfrabf16$0.05 in·$0.15 out·131k·99.9% up

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

Writing DNA

Style Comparison

Similarity
29%

Gemma 3 12B uses 76.0x more emoji

Gemini 3.8 Flash
Gemma 3 12B
63%Vocabulary54%
20wSentence Length17w
0.17Hedging0.59
4.0Bold5.6
2.4Lists4.8
0.01Emoji0.76
0.84Headings0.06
0.06Transitions0.19
Based on 27 + 29 text responses
Research

What we learned reading every model

FAQ

Common questions

Keep exploring

More comparisons

Against the newest arrivals

Gemini 3.8 Flash logoGPT-6 Astra Pro logo
Gemini 3.8 Flash vs GPT-6 Astra ProLanded Sep 2026
Gemma 3 12B logoGPT-6 Astra logo
Gemma 3 12B vs GPT-6 AstraLanded Sep 2026
Gemini 3.8 Flash logoClaude Fable 5.1 logo
Gemini 3.8 Flash vs Claude Fable 5.1Landed Sep 2026
Gemma 3 12B logoMuse Spark 1.3 logo
Gemma 3 12B vs Muse Spark 1.3Landed Sep 2026
Gemini 3.8 Flash logoHy4 Preview logo
Gemini 3.8 Flash vs Hy4 PreviewLanded Sep 2026
Gemma 3 12B logoMuse Spark 1.3 Contributor logo
Gemma 3 12B vs Muse Spark 1.3 ContributorLanded Sep 2026
Gemini 3.8 Flash logoMercury 2.5 Preview logo
Gemini 3.8 Flash vs Mercury 2.5 PreviewLanded Sep 2026
Gemma 3 12B logoGranite 4.2 8B logo
Gemma 3 12B vs Granite 4.2 8BLanded Sep 2026

Same lab, same size, long tail

Gemini 3.8 Flash logoGemini 3.7 Flash logo
Gemini 3.8 Flash vs Gemini 3.7 FlashSame lab
Gemini 3.8 Flash logoGemini 3.6 Flash logo
Gemini 3.8 Flash vs Gemini 3.6 FlashSame lab
Gemma 3 12B logoGemini 3.7 Flash logo
Gemma 3 12B vs Gemini 3.7 FlashSame lab
Gemma 3 12B logoGemini 3.6 Flash logo
Gemma 3 12B vs Gemini 3.6 FlashSame lab
Gemini 3.8 Flash logoQwen3 Next 80B A3B Thinking logo
Gemini 3.8 Flash vs Qwen3 Next 80B A3B ThinkingSame size
Gemma 3 12B logoQwen3.5 122B A10B logo
Gemma 3 12B vs Qwen3.5 122B A10BSame size
Gemma 3 12B logoQwen3.5 27B logo
Gemma 3 12B vs Qwen3.5 27BNew provider
Gemma 3 12B logoQwen3.5 35B A3B logo
Gemma 3 12B vs Qwen3.5 35B A3BNew provider

Model pages

Gemini 3.8 Flash logo
Gemini 3.8 Flash58 outputs, specs and price
Gemma 3 12B logo
Gemma 3 12B60 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