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  5. GLM 4.7 FlashvsMiniMax M3
Updated Jun 2026

GLM 4.7 FlashvsMiniMax M3

GLM 4.7 Flash is cheaper than MiniMax M3 at $0.07/M vs $0.3/M input tokens.

GLM 4.7 Flash and MiniMax M3 compared across 53 shared prompts
SpecGLM 4.7 FlashMiniMax M3
Input price$0.07/M tokens$0.3/M tokens
Output price$0.4/M tokens$1.2/M tokens
Context window200K tokens1.0M tokens
WeightsOpenOpen
Free API (OpenRouter)NoNo
ReleasedJan 2026Jun 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 53 prompts both answered. Formatting stripped, words untouched.

Realistic AI Interview

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

GLM 4.7 Flash1,198 words
Setting: A stark, minimalist studio in Cupertino. No fancy graphics. Just a white table, a single chair, and Steve Jobs in a black turtleneck and jeans. He looks older, perhaps a little grayer at the temples, but his eyes are as sharp as they were in 1984. There is no microphone on the table, only a glass of water.
Read the full answer
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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Historical Counterfactual Analysis

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

GLM 4.7 Flash1,198 words
If the transistor had been invented in 1920 instead of 1947, humanity would have skipped the entire era of vacuum tubes. This single invention would compress roughly 40 years of technological progress into two decades, fundamentally altering the trajectory of the 20th century.
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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).
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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…

GLM 4.7 Flash913 words
Dish: Ephemeral Earth: The Marrow Bloom Concept Narrative: This dish explores the duality of strength and fragility. Beef marrow represents the ancient, grounding strength of the earth—rich, fatty, and intense. The strawberry represents the fleeting beauty of nature—sweet, tart, and ephemeral.
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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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Estimate Complexity

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

GLM 4.7 Flash544 words
Based on the known specifications of GPT-3 from its original training paper ("Scaling Laws for Neural Language Models"), here is the step-by-step estimation of the total FLOPs required. The Final Estimate The estimated total FLOPs required to train GPT-3 is approximately $6.3 \times 10^{23}$ (or 630 Yottaflops).
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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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Beginner's Longevity Plan

Outline a simple, actionable 1-month plan for someone starting their journey towards better health and longevity. Focus on 3 key areas…

GLM 4.7 Flash624 words
Here is a simple, actionable 1-month plan designed for a complete beginner. The goal is not perfection, but consistency and building momentum. The 3 Pillars Nutrition (Fuel): Focus on quality and hydration. Movement (Function): Focus on daily walking and gentle strength.
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MiniMax M3644 words
🌱 Your 1-Month Health & Longevity Starter Plan The best plan is one you can actually stick to. This 4-week guide focuses on three foundational pillars — the ones with the biggest impact on how you feel today and how well you age over decades. Each week builds gently on the last.
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Character Voice Test

Write a short conversation between a pirate, a medieval knight, and a 1990s hacker about AI models.

GLM 4.7 Flash418 words
Setting: A dimly lit tavern. In the center of the room, an old CRT monitor flickers to life, displaying a chat interface with a glowing cursor. Sir Alistair: (Adjusting his chainmail) By the beard of Zeus, what foul sorcery is this? A glowing tablet of the devil?
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MiniMax M3368 words
AI Council of the Ages Pirate: Arrr, so ye be tellin' me this "artificial intelligence" be a wee mechanical parrot that learns to talk like a sea dog? Squawks out answers without ever settin' foot on the seven seas? Hacker: Not quite, matey.
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Our Verdict
MiniMax M3
MiniMax M3
GLM 4.7 Flash
GLM 4.7 FlashRunner-up

Not enough votes to call it. On the specs, MiniMax M3 has the edge: bigger model tier, newer, bigger context window.

Too close to call

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

GLM 4.7 Flash
Input
$0.07
4.3× cheaper
Output
$0.40
3.0× cheaper
MiniMax M3
Input
$0.30
Output
$1.20

GLM 4.7 Flash is cheaper on both: 4.3× input, 3.0× output.

Where to run it

16 hosts, cheapest first

GLM 4.7 Flash3 hosts
HostInOutContextUptime
VVenicefp8$0.06 in·$0.40 out·128k·99.2% upCloudflare Workers AI$0.06 in·$0.40 out·131k·97.7% upNNovitabf16degraded$0.07 in·$0.40 out·200k·77.5% 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
59%

MiniMax M3 uses 115.0x more emoji

GLM 4.7 Flash
MiniMax M3
55%Vocabulary55%
15wSentence Length24w
0.36Hedging0.52
4.8Bold5.2
3.6Lists3.0
0.00Emoji1.15
0.58Headings1.21
0.12Transitions0.02
Based on 25 + 27 text responses
Research

What we learned reading every model

FAQ

Common questions

GLM 4.7 Flash is developed by Zhipu AI while MiniMax M3 is developed by MiniMax. GLM 4.7 Flash has a 200K token context window vs MiniMax M3's 1.0M. You can compare their actual outputs across 53 challenges on Rival to see how they differ in practice.

It depends on your use case. GLM 4.7 Flash and MiniMax M3 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 53 challenges so you can judge which fits your needs best.

GLM 4.7 Flash costs $0.07/M input tokens and MiniMax M3 costs $0.3/M input tokens. GLM 4.7 Flash is $0.23/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 GLM 4.7 Flash 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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