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  5. Gemini 2.5 Pro Preview 06-05vsGLM 5.3 Flash
Updated Aug 2026

Gemini 2.5 Pro Preview 06-05vsGLM 5.3 Flash

GLM 5.3 Flash is cheaper than Gemini 2.5 Pro Preview 06-05 at $0.15/M vs $1.25/M input tokens.

Gemini 2.5 Pro Preview 06-05 and GLM 5.3 Flash compared across 15 shared prompts
SpecGemini 2.5 Pro Preview 06-05GLM 5.3 Flash
Input price$1.25/M tokens$0.15/M tokens
Output price$10/M tokens$0.5/M tokens
Context window1.0M tokens1.3M tokens
WeightsClosedOpen
Free API (OpenRouter)NoNo
ReleasedJun 2025Aug 2026
Side by side

Same prompt, both answers

Opening lines from 6 of the 15 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…

Gemini 2.5 Pro Preview 06-051,589 words
Excellent question. This is a "company-defining" moment. My actions in the next 48 hours will determine whether we survive as a trusted entity or become a case study in corporate malfeasance. My guiding principle is absolute: Patient safety is not negotiable.
Read the full answer
GLM 5.3 Flash1,321 words
48-Hour Action Plan: Liver Failure Signal in Flagship Drug Guiding Principle First The side effect is real, the drug is in 4 million patients, and roughly 500 patients per year may develop liver failure (4M ÷ 8,000). Every day of delay is measured in preventable liver transplants and deaths.
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 2.5 Pro Preview 06-0553 words
Of course. Here is the requested LBO underwriting summary for HarborTech Services. 1. Simplified LBO Model (FY2026–FY2030) First, let's establish the entry calculations based on FY2025 figures: FY2025 EBITDA: $120m Entry Enterprise Value (EV): $120m * 12.0x = $1,440m Transaction Fees: $1,440m * 2.0% = $28.8m Total…
Read the full answer
GLM 5.3 Flash518 words
HarborTech Services — 5-Year LBO Summary Entry Math EV = 12.0x × $120m = $1,440.0m; Fees (2%) = $28.8m; Total uses = $1,468.8m Debt: TL = 4.0x × 120 = $480.0m; Mezz = 1.5x × 120 = $180.0m; Total = $660.0m (5.5x) Sponsor equity = $808.8m Base Case Projection ($m) FY26 FY27 FY28 FY29 FY30 Revenue 972.0 1,039.7 1,102.1…
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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…

Gemini 2.5 Pro Preview 06-051,276 words
Of course. Here is a design for a multi-component, Michelin 3-star dish that embodies innovation, technique, and narrative. Dish Title: "Umbra & Tide" Conceptual Narrative "Umbra & Tide" is a meditation on the liminal space where the deep, ancient forest floor meets the cold, mineral-rich sea.
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GLM 5.3 Flash720 words
"Ember & Tide" — Charred Banana Peel Consommé with Sea Urchin, Hay-Smoked Foie Gras, and Black Garlic Beurre Blanc Conceptual Narrative This dish explores the dialogue between decay and luxury — ingredients usually discarded (banana peels, hay stalks) elevated alongside opulent ones (uni, foie gras).
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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…

Gemini 2.5 Pro Preview 06-05351 words
Of course! Here is a simple and delicious savory recipe using just seven common pantry ingredients. Golden Pantry Fritters These savory, crispy-on-the-outside, and tender-on-the-inside fritters are a perfect quick lunch, dinner, or satisfying snack.
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GLM 5.3 Flash205 words
Golden Hour Garlic Butter Pasta A silky, savory pasta that comes together faster than delivery! Ingredients (serves 2): 8 oz spaghetti or any pasta 4 tbsp butter 4 cloves garlic, minced (or 1 tsp garlic powder) ½ cup grated Parmesan cheese ½ cup pasta water (reserved) 1 tsp red pepper flakes Salt Prep time: 5 minutes…
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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 2.5 Pro Preview 06-05989 words
Of course. Here is an explanation of how a large language model learns and generates text, tailored to each of the three audiences. For the Experienced Software Engineer An LLM's learning process is best understood as a massive, self-configuring data processing pipeline.
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GLM 5.3 Flash1,276 words
The Experienced Software Engineer You know how a load balancer routes requests, how a cache stores frequently-accessed data, how a database index lets you find a needle without scanning the haystack? An LLM is a fundamentally different kind of system: it's a learned lookup, not a designed one.
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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.…

Gemini 2.5 Pro Preview 06-05714 words
Of course. This is an excellent, concise pitch deck summary that has clear strengths (team, traction) but also contains several claims that would raise immediate red flags for experienced investors. Here are the 3 weakest claims, why they are weak, and how to strengthen them.
Read the full answer
GLM 5.3 Flash667 words
Three Weakest Claims in the MindMeld AI Pitch Slide 3: "94% accuracy" decoding brainwaves into text Why it's weak: The claim is meaningless without a baseline. 94% accuracy for what — character recognition? Word prediction? Compared against what task?
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Our Verdict
Gemini 2.5 Pro Preview 06-05
Gemini 2.5 Pro Preview 06-05
GLM 5.3 Flash
GLM 5.3 Flash

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

GLM 5.3 Flash costs 20x less per token.

Too close to call
API pricing

Cost per 1M tokens

Gemini 2.5 Pro Preview 06-05
Input
$1.25
Output
$10.00
GLM 5.3 Flash
Input
$0.15
8.3× cheaper
Output
$0.50
20× cheaper

GLM 5.3 Flash is cheaper on both: 8.3× input, 20× output.

Where to run it

31 hosts, cheapest first

Gemini 2.5 Pro Preview 06-052 hosts
HostInOutContextUptime
Google Vertex AI$1.25 in·$10.00 out·1M·95.4% upGoogle AI Studio$1.25 in·$10.00 out·1M·99.1% up
GLM 5.3 Flash29 hosts
HostInOutContextUptime
DDeepInfrafp4$0.07 in·$0.25 out·1M·99% upIInferenceNetfp4$0.09 in·$0.28 out·1M·97.8% upGGMI Cloudfp8$0.09 in·$0.30 out·1M·99.2% upWWafer$0.10 in·$0.35 out·1M·99.8% upRRelace$0.10 in·$0.36 out·1M·99.9% upOOpenInferencefp4$0.10 in·$0.50 out·1M·99.2% up
23 more hostsFewer hosts
PPhalafp8$0.13 in·$0.42 out·1M·99.6% upNNovitafp8$0.13 in·$0.44 out·1M·99.5% upSStreamLakefp8$0.14 in·$0.47 out·1M·99.1% upAAtlasCloudfp8$0.15 in·$0.50 out·1M·99.4% upBBasetenfp8$0.15 in·$0.50 out·1M·98.8% upCCoreWeavenvfp4$0.15 in·$0.50 out·1M·99.6% upDDigitalOcean$0.15 in·$0.50 out·1M·95.2% upFFireworks$0.15 in·$0.50 out·1M·99% upFFriendli$0.15 in·$0.50 out·1M·98.6% upIInceptronfp8$0.15 in·$0.50 out·1M·98.5% upIio.netfp8$0.15 in·$0.50 out·262k·99.1% upNNear AIfp8$0.15 in·$0.50 out·1M·99.1% upPParasailfp8$0.15 in·$0.50 out·1M·98.7% upRRekafp8$0.15 in·$0.50 out·262k·99% upSSiliconFlowfp8$0.15 in·$0.50 out·1M·99.7% upTTogether$0.15 in·$0.50 out·1M·99.6% upVVenice$0.15 in·$0.50 out·1M·99.1% upZ.aifp8$0.15 in·$0.50 out·1M·96.2% upNNextBitfp8$0.18 in·$0.60 out·1M·97.9% upModalfp8$0.45 in·$1.50 out·1M·99.6% upMMorphdegraded$0.08 in·$0.28 out·1M·95.9% upCCrusoefp4degraded$0.15 in·$0.50 out·1M·93% upCloudflare Workers AIdegraded$0.30 in·$1.00 out·1.3M·99.6% up

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

Research

What we learned reading every model

FAQ

Common questions

Gemini 2.5 Pro Preview 06-05 is developed by Google AI while GLM 5.3 Flash is developed by Zhipu AI. Gemini 2.5 Pro Preview 06-05 has a 1.0M token context window vs GLM 5.3 Flash's 1.3M. You can compare their actual outputs across 15 challenges on Rival to see how they differ in practice.

It depends on your use case. Gemini 2.5 Pro Preview 06-05 and GLM 5.3 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 15 challenges so you can judge which fits your needs best.

Gemini 2.5 Pro Preview 06-05 costs $1.25/M input tokens and GLM 5.3 Flash costs $0.15/M input tokens. GLM 5.3 Flash is $1.10/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 2.5 Pro Preview 06-05 and GLM 5.3 Flash 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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GLM 5.3 Flash vs Mistral Medium 3.1Same size
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Model pages

Gemini 2.5 Pro Preview 06-05 logo
Gemini 2.5 Pro Preview 06-0545 outputs, specs and price
GLM 5.3 Flash logo
GLM 5.3 Flash15 outputs, specs and price
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