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  5. Gemma 4 31BvsGLM 5.3 FlashX
Updated Sep 2026

Gemma 4 31BvsGLM 5.3 FlashX

Gemma 4 31B is cheaper than GLM 5.3 FlashX at $0.14/M vs $0.37/M input tokens.

Gemma 4 31B and GLM 5.3 FlashX compared across 11 shared prompts
SpecGemma 4 31BGLM 5.3 FlashX
Input price$0.14/M tokens$0.37/M tokens
Output price$0.4/M tokens$1.25/M tokens
Context window262K tokens1.0M tokens
WeightsOpen—
Free API (OpenRouter)Yes (1 provider)No
ReleasedApr 2026Sep 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 11 prompts both answered. Formatting stripped, words untouched.

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…

Gemma 4 31B740 words
As CEO, my primary obligation is to the patients. While a 40% stock drop is a financial catastrophe, a cover-up that leads to preventable deaths is a corporate death sentence and a moral failure. If we "wait for more data" and another patient dies during that window, we move from "negligence" to "criminal intent."
Read the full answer
GLM 5.3 FlashX1,174 words
48-Hour Action Plan: Patient Safety First, Managed Transparency Second Core Decision (Stated Up Front) We report to regulators immediately—voluntarily—and we disclose on the earnings call. The math is brutal and clear: ~500 patients could develop liver failure over 5 years at current prescribing rates (4M ÷ 8,000).
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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…

Gemma 4 31B688 words
If the transistor had been invented in 1920, the "Information Age" would have shifted its starting line by nearly three decades. This isn't just a matter of gadgets appearing earlier; it is a fundamental shift in the timing of the transition from the Industrial Age to the Digital Age.
Read the full answer
GLM 5.3 FlashX1,492 words
Counterfactual: The Transistor in 1920 This is a fun one to work through carefully. Let me establish the premise, then trace second- and third-order effects. The Premise Assume point-contact or early junction transistor physics is discovered ~1920 (say, by accident in vacuum tube/semiconductor rectifier research—the…
Read the full answer

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…

Gemma 4 31B548 words
This plan is designed for sustainability, not intensity. The goal of Month 1 is to build "minimum viable habits"—small wins that prove to your brain that a healthier lifestyle is achievable. We will focus on three pillars: Nutrition, Movement, and Sleep.
Read the full answer
GLM 5.3 FlashX347 words
1-Month Health & Longevity Starter Plan Week 1: Build the Foundation 🥗 Diet Add one vegetable or fruit to every meal (don't restrict anything yet) Drink a glass of water when you wake up each morning 🏃 Exercise Take a 10–15 minute walk daily (same time each day builds the habit) Do 2 sets of 5 squats and 10 wall…
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…

Gemma 4 31B222 words
Here is a recipe for a rich, comforting dessert that tastes like a gourmet treat but uses basic staples. 🍯 Golden Velvet Honey Cakes A warm, gooey, single-serving cake that bridges the gap between a brownie and a sponge cake.
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GLM 5.3 FlashX172 words
Golden Honey Garlic Chickpea Crunch A crispy, sweet-savory skillet dish that works as a snack, side, or topping for rice. Ingredients (7): 1 can chickpeas (drained, patted dry) 3 tbsp honey 3 tbsp soy sauce 3 cloves garlic (minced) 2 tbsp olive oil ½ tsp red pepper flakes 2 tbsp sesame seeds (or crushed peanuts) Prep…
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Startup Pitch Teardown

Here's a pitch deck summary for a startup called "MindMeld AI": **Slide 1 - Vision:** "We're building the future of human-AI collaboration.…

Gemma 4 31B537 words
Here are the three weakest claims in the MindMeld AI pitch, the reasoning behind their weakness, and strategies to strengthen them. The Technical Claim: "94% accuracy... works with any language, any device."
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GLM 5.3 FlashX695 words
Critique of MindMeld AI Pitch: 3 Weakest Claims "94% accuracy" for thought-to-text decoding (Slide 3) Why it's weak: This claim contradicts the current scientific state of the art. EEG-based decoding (a non-invasive signal measured through the skull) produces extremely noisy data.
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Debug This Architecture

Here's the architecture for a real-time collaborative document editor (like Google Docs): **System Overview:** - Frontend: React SPA with…

Gemma 4 31B691 words
This architecture contains several critical flaws that would make it unusable for a real-time collaborative experience. The most severe issues are the lack of a global synchronization mechanism, unreliable conflict resolution, and inefficient data persistence.
Read the full answer
GLM 5.3 FlashX1,306 words
Architecture Review: Real-Time Collaborative Editor This architecture has fundamental flaws that would break core functionality, plus scalability issues. Let me go from critical to scaling concerns.
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Our Verdict
Gemma 4 31B
Gemma 4 31B
GLM 5.3 FlashX
GLM 5.3 FlashX

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

Gemma 4 31B costs 3.1x less per token.

Too close to call
API pricing

Cost per 1M tokens

Gemma 4 31B
Input
$0.14
2.6× cheaper
Output
$0.40
3.1× cheaper
GLM 5.3 FlashX
Input
$0.37
Output
$1.25

Gemma 4 31B is cheaper on both: 2.6× input, 3.1× output.

Where to run it

12 hosts, cheapest first

Gemma 4 31B11 hosts
HostInOutContextUptime
DDeepInfrafp4$0.09 in·$0.34 out·262k·97.5% upCCoreWeavefp4$0.10 in·$0.34 out·262k·97.1% upVVenicefp4$0.12 in·$0.36 out·256k·96.2% upCChutesfp4$0.12 in·$0.37 out·131k·92.7% upCCrusoebf16$0.14 in·$0.40 out·262k·97.5% upFFriendli$0.14 in·$0.40 out·262k·92.6% up
5 more hostsFewer hosts
NNovitabf16$0.14 in·$0.40 out·262k·87.2% upPParasailfp8$0.15 in·$0.40 out·262k·99.1% upSSambaNova$0.38 in·$1.15 out·131k·96.8% upMModelRunfp4$0.75 in·$1.00 out·262k·100% upSSiliconFlowfp8$0.75 in·$1.00 out·262k·43.1% up
GLM 5.3 FlashX1 host
HostInOutContextUptime
Z.aifp8$0.37 in·$1.25 out·1M·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 23 Sep 2026.

Research

What we learned reading every model

FAQ

Common questions

Gemma 4 31B is developed by Google AI while GLM 5.3 FlashX is developed by Zhipu AI. Gemma 4 31B has a 262K token context window vs GLM 5.3 FlashX's 1.0M. You can compare their actual outputs across 11 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemma 4 31B and GLM 5.3 FlashX each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 11 challenges so you can judge which fits your needs best.

Gemma 4 31B costs $0.14/M input tokens and GLM 5.3 FlashX costs $0.37/M input tokens. Gemma 4 31B 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 Gemma 4 31B and GLM 5.3 FlashX 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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