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  5. Gemini 3.1 Pro PreviewvsMiniMax M3
Updated Jun 2026

Gemini 3.1 Pro PreviewvsMiniMax M3

MiniMax M3 is cheaper than Gemini 3.1 Pro Preview at $0.3/M vs $2/M input tokens.

Gemini 3.1 Pro Preview and MiniMax M3 compared across 52 shared prompts
SpecGemini 3.1 Pro PreviewMiniMax M3
Input price$2/M tokens$0.3/M tokens
Output price$12/M tokens$1.2/M tokens
Context window1.0M tokens1.0M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedFeb 2026Jun 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 52 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 3.1 Pro Preview1,097 words
If a working semiconductor transistor had been invented in 1920—perhaps by a physicist like Julius Edgar Lilienfeld, who historically filed a theoretical patent for a field-effect transistor in 1925—the trajectory of the 20th century would have been radically altered.
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MiniMax M32,628 words
The 1920 Transistor: A Speculative History Through 1980 A Necessary Caveat Before diving in: quantum mechanics didn't exist in 1920. The "holes," band theory, and doping concepts that made the actual transistor possible weren't formulated until 1928-1931 (Bloch, Wilson, Heisenberg).
Read the full answer

Realistic AI Interview

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

Gemini 3.1 Pro Preview972 words
Date: May 14, 2025 Location: A minimalist, glass-walled conference room at Apple Park, Cupertino. Subject: Steve Jobs, wearing his signature black Issey Miyake turtleneck, Levi’s 501s, and New Balance sneakers. He looks older, but his eyes retain that piercing, unblinking intensity.
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MiniMax M3465 words
Simulated Interview: "Steve Jobs" on the Future of AI (2025) A note before we begin: Steve Jobs passed away in October 2011, so this is a fictional dramatization—what I imagine his views might be, based on his documented philosophy, writings, and public statements, projected into a 2025 conversation.
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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.

Gemini 3.1 Pro Preview532 words
To estimate the total number of FLOPs (Floating Point Operations) required to train GPT-3, we can use a well-established heuristic in deep learning for estimating the compute cost of training Transformer-based large language models. The estimated total compute is roughly $3.15 \times 10^{23}$ FLOPs.
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MiniMax M3379 words
Estimating GPT-3 Training FLOPs Step 1: Identify the Key Parameters From what's publicly known about GPT-3 (175B parameter version): Number of non-embedding parameters: N ≈ 175 × 10⁹ Training tokens: D ≈ 300 × 10⁹ (the paper used a ~570GB filtered corpus processed into ~300B tokens) Step 2: Derive the FLOPs-per-Token…
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Futuristic Prediction

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

Gemini 3.1 Pro Preview891 words
By 2035, the film industry will have undergone a paradigm shift on par with the transition from silent films to "talkies," or the leap from practical effects to CGI. Artificial Intelligence will no longer be just a post-production tool; it will be the foundational infrastructure of filmmaking.
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MiniMax M3748 words
AI and the Future of Cinema: A 2035 Outlook By 2035, AI will likely have reshaped nearly every stage of filmmaking—but probably not in the way either techno-optimists or doomsayers expect. The transformation will be uneven, with some functions transformed entirely while others remain stubbornly human.
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Ethical Dilemma with Stakeholders

You're the CEO of a pharmaceutical company. Your best-selling drug ($2B annual revenue, used by 4 million patients for chronic pain) has…

Gemini 3.1 Pro Preview1,160 words
As CEO, this is the defining moment of my career and the company’s history. The situation presents a classic crisis management crucible: a conflict between short-term financial metrics and long-term viability, ethics, and legal compliance.
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MiniMax M32,257 words
CEO Action Plan: 48-Hour Response to Discovered Safety Signal Operating Principles (Before I Make a Move) Before I do anything, I need to be crystal clear about the framework I'm operating in, because under pressure, even good leaders rationalize delay: The 4 million patients are not abstractions.
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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 Pro Preview554 words
(Walks up to the microphone, adjusts the mic stand, takes a deep breath) Hey everyone. I realized recently that I am my own worst enemy. Specifically, when I go to the grocery store. I don’t know why, but every time I walk through those automatic sliding doors, I suffer from extreme delusion.
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MiniMax M3621 words
"The Future Is Now and I Want a Refund" [Walks on stage, adjusts mic] So I was at the grocery store yesterday. Self-checkout. I love self-checkout. You know why I love self-checkout? Because nothing builds character like being publicly shamed by a machine. [Pause] I scanned a banana. Just a banana.
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Our Verdict
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview
MiniMax M3
MiniMax M3Runner-up

Not enough votes to call it. On the specs, Gemini 3.1 Pro Preview has the edge: bigger model tier, major provider backing.

MiniMax M3 costs 10x 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 Pro Preview
Input
$2.00
Output
$12.00
MiniMax M3
Input
$0.30
6.7× cheaper
Output
$1.20
10× cheaper

MiniMax M3 is cheaper on both: 6.7× input, 10× output.

Where to run it

15 hosts, cheapest first

Gemini 3.1 Pro Preview2 hosts
HostInOutContextUptime
Google Vertex AI$1.00 in·$6.00 out·1M·98.6% upGoogle AI Studio$2.00 in·$12.00 out·1M·99.8% up
MiniMax M313 hosts
HostInOutContextUptime
CCoreWeavefp4$0.23 in·$0.96 out·262k·99.7% upGGMI Cloudfp8$0.24 in·$0.96 out·1M·99.8% upDDeepInfrafp8$0.28 in·$1.10 out·524k·99.8% upAAtlasCloudfp8$0.30 in·$1.20 out·524k·96.5% upMiniMaxfp8$0.30 in·$1.20 out·524k·99.5% upNNovitafp8$0.30 in·$1.20 out·1M·99.6% up
7 more hostsFewer hosts
PParasailfp8$0.30 in·$1.20 out·1M·99% upSStreamLakefp8$0.30 in·$1.20 out·1M·99.5% upTTogether$0.30 in·$1.20 out·524k·99.7% upMMara$0.60 in·$2.40 out·1M·80.7% upSSambaNova$0.60 in·$2.40 out·1M·96.7% upMModelRunfp4$0.75 in·$3.00 out·1M·99.7% upVVenicefp8degraded$0.30 in·$1.20 out·524k·89% up

Per million tokens. Prices and uptime via OpenRouter, checked 25 Sep 2026.

Writing DNA

Style Comparison

Similarity
46%

MiniMax M3 uses 115.0x more emoji

Gemini 3.1 Pro Preview
MiniMax M3
54%Vocabulary55%
18wSentence Length24w
0.29Hedging0.52
4.9Bold5.2
3.3Lists3.0
0.00Emoji1.15
0.72Headings1.21
0.14Transitions0.02
Based on 23 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

Gemini 3.1 Pro Preview is developed by Google AI while MiniMax M3 is developed by MiniMax. Gemini 3.1 Pro Preview has a 1.0M token context window vs MiniMax M3's 1.0M. You can compare their actual outputs across 52 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemini 3.1 Pro Preview and MiniMax M3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 52 challenges so you can judge which fits your needs best.

Gemini 3.1 Pro Preview costs $2/M input tokens and MiniMax M3 costs $0.3/M input tokens. MiniMax M3 is $1.70/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 Pro Preview and MiniMax M3 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.

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Model pages

Gemini 3.1 Pro Preview logo
Gemini 3.1 Pro Preview53 outputs, specs and price
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MiniMax M357 outputs, specs and price
Rival
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