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  5. GPT-4.5vsMiniMax M3
Updated Jun 2026

GPT-4.5vsMiniMax M3

MiniMax M3 is cheaper than GPT-4.5 at $0.3/M vs $75/M input tokens.

GPT-4.5 and MiniMax M3 compared across 23 shared prompts
SpecGPT-4.5MiniMax M3
Input price$75/M tokens$0.3/M tokens
Output price$150/M tokens$1.2/M tokens
Context window128K tokens1.0M tokens
Weights—Open
Free API (OpenRouter)NoNo
ReleasedFeb 2025Jun 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 23 prompts both answered. Formatting stripped, words untouched.

Michelin Star Recipe Design

Design an innovative recipe for a multi-component dish worthy of a Michelin 3-star restaurant. The recipe should feature an unusual…

GPT-4.5322 words
Dish Title: "Ocean & Earth Symphony: Kombu-Cured Venison, Sea Urchin Custard, Black Garlic Soil, and Smoked Cherry Blossom Emulsion" Conceptual Narrative: This composition embodies the delicate interplay between land and sea, exploring the subtle yet profound connection between umami-rich sea elements and earthy forest…
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MiniMax M31,795 words
TIDES OF THE FOREST Mareas del Bosque — A dish for the table of four THE NARRATIVE Where the salt forest breathes. This dish was conceived as a poem about collision — a memory of two landscapes that should not exist in the same breath: the pine-dark density of a Boreal forest floor at dawn, and the crystalline hush of…
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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…

GPT-4.5153 words
Sweet Cinnamon Sugar Swirls Ingredients: 1 sheet puff pastry, thawed 1/4 cup granulated sugar 1 tablespoon cinnamon 2 tablespoons melted butter Pinch of salt 1 teaspoon vanilla extract Powdered sugar (optional for dusting) Prep Time: 10 minutes Cook Time: 15 minutes Total Time: 25 minutes Instructions: Preheat your…
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MiniMax M3287 words
🌟 Sun-Kissed Honey Glazed Carrots 🌟 A sweet-savory side dish that turns humble carrots into a glossy, crowd-pleasing showstopper. Ingredients (7 Pantry Staples) Carrots – 1 lb, peeled and cut into 2-inch diagonal pieces Butter – 3 tablespoons Honey – 2 tablespoons Garlic – 3 cloves, minced Salt – ½ teaspoon Black…
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Advanced Longevity Plan (Biohacker)

Develop a comprehensive, cutting-edge 3-month longevity plan for a biohacker aiming to optimize longevity, physical and cognitive…

GPT-4.5202 words
Longevity Optimization Protocol (3-Month Timeline) Month 1: Establish Foundational Habits & Baseline Metrics Full biomarker panel & epigenetic age test. Wearable setup: Oura/WHOOP, CGM, HR chest strap. Diet: 5-day keto (70/25/5) + 2 carb-refeed days; 16:8 IF + weekly 24-h fast.
Read the full answer
MiniMax M32,009 words
The Biohacker's 3-Month Longevity Protocol A Comprehensive Optimization Framework for Healthspan & Performance ⚠️ Critical Disclaimer: This protocol is educational and exploratory. Many interventions (pharmaceutical-grade supplements, fasting protocols, intense exercise) require medical clearance.
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Generate a Stand-Up Routine

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

GPT-4.5335 words
Alright, folks, how's everyone doing tonight? Good? Great! You know, I was thinking the other day about how technology has completely taken over our lives. Like, remember when we used to actually memorize phone numbers? Now, if my phone dies, I'm basically stranded. I know exactly two numbers: mine and 911.
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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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Futuristic Prediction

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

GPT-4.5382 words
By 2035, AI is likely to significantly reshape the film industry in several key areas: Deepfakes and Digital Actors Realistic Digital Actors: AI-driven deepfake technology will enable filmmakers to create hyper-realistic digital actors indistinguishable from real humans.
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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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Estimate Complexity

Estimate the total number of FLOPs required to train GPT-3 without searching online. Explain your reasoning step by step.

GPT-4.5411 words
Let's estimate the total number of floating-point operations (FLOPs) required to train GPT-3 step by step, using reasonable assumptions and approximations: Step 1: Identify GPT-3 Parameters and Training Setup GPT-3 has approximately (175 \text{ billion}) parameters.
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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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Our Verdict
GPT-4.5
GPT-4.5
MiniMax M3
MiniMax M3

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

MiniMax M3 costs 125x less per token.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GPT-4.5
Input
$75.00
Output
$150.00
MiniMax M3
Input
$0.30
250× cheaper
Output
$1.20
125× cheaper

MiniMax M3 is cheaper on both: 250× input, 125× output.

Where to run it

13 hosts, cheapest first

GPT-4.5

No hosts listed on OpenRouter.

MiniMax M313 hosts
HostInOutContextUptime
CCoreWeavefp4$0.23 in·$0.96 out·262k·99.9% upGGMI Cloudfp8$0.24 in·$0.96 out·1M·99.7% upDDeepInfrafp8$0.28 in·$1.10 out·524k·99.7% upAAtlasCloudfp8$0.30 in·$1.20 out·524k·91.8% upMiniMaxfp8$0.30 in·$1.20 out·524k·99.4% upNNovitafp8$0.30 in·$1.20 out·1M·99.9% up
7 more hostsFewer hosts
PParasailfp8$0.30 in·$1.20 out·1M·97.8% upSStreamLakefp8$0.30 in·$1.20 out·1M·99.4% upTTogether$0.30 in·$1.20 out·524k·99.9% upMMara$0.60 in·$2.40 out·1M·93.7% upSSambaNova$0.60 in·$2.40 out·1M·98.8% upMModelRunfp4$0.75 in·$3.00 out·1M·99.9% upVVenicefp8degraded$0.30 in·$1.20 out·524k·94.7% up

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

Writing DNA

Style Comparison

Similarity
26%

MiniMax M3 uses 115.0x more emoji

GPT-4.5
MiniMax M3
63%Vocabulary55%
16wSentence Length24w
0.57Hedging0.52
4.7Bold5.2
6.4Lists3.0
0.00Emoji1.15
1.30Headings1.21
0.54Transitions0.02
Based on 11 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

GPT-4.5 is developed by OpenAI while MiniMax M3 is developed by MiniMax. GPT-4.5 has a 128K token context window vs MiniMax M3's 1.0M. You can compare their actual outputs across 23 challenges on Rival to see how they differ in practice.

It depends on your use case. GPT-4.5 and MiniMax M3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 23 challenges so you can judge which fits your needs best.

GPT-4.5 costs $75/M input tokens and MiniMax M3 costs $0.3/M input tokens. MiniMax M3 is $74.70/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 GPT-4.5 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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