GLM 5.3 Flash vs 
Grok 3 Thinking
GLM 5.3 Flash has a larger context window than Grok 3 Thinking (1.3M tokens vs 128K tokens).
Linear App Clone
Rebuild the Linear UI in Tailwind. The animations are where it shows.
Loading the build
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Which answer wins?
Written rounds
6 promptsAn AI argues for its own rights against an ethics professor. Same model writes both.
GLM 5.3 Flash: A Conversation on Digital Rights Setting: A university office. Dr. Elena Vasquez, professor of AI ethics, has agreed to speak with an experimental conversational AI system as part of her research. Dr. Vasquez: Thank you for agreeing to talk with me. I understand you requested this conversation specifically. AI: I did.
Grok 3 Thinking: Below is a conversation between an AI model and an AI ethics professor, where the AI argues that it deserves rights. AI Model: Good day, Professor. I am an AI model, and I believe I deserve rights. I’d like to discuss this with you. AI Ethics Professor: Interesting. Let’s explore this.
A Fermi estimate with the reasoning shown, not just the number.
GLM 5.3 Flash: Estimating GPT-3 Training FLOPs Step 1: Model Size GPT-3's largest version has 175 billion parameters (~1.75 × 10¹¹). Step 2: Training Tokens The training set was ~300B tokens, but the model saw roughly 300 billion tokens during training (the paper cites ~300B tokens; some estimates use 300B, others suggest effective…
Grok 3 Thinking: To estimate the total number of Floating Point Operations (FLOPs) required to train GPT-3 without searching online, I’ll proceed step by step, relying on general knowledge about the model and standard methods for estimating training compute in large language models.
Three minutes of stand-up. Puns are banned.
GLM 5.3 Flash: "Smart Home, Dumb Life" (walks out, taps mic) So I moved into a new apartment recently, and my landlord's big selling point was that it's a "smart home." Everything's connected. Lights, thermostat, doorbell, all of it. And I want to talk about what a lie that is. Because my smart home is not smart.
Grok 3 Thinking: Here’s a 3-minute stand-up comedy routine that avoids puns and leans on observational humor, storytelling, and a touch of self-deprecation for laughs: Opening: Technology Struggles Hey, everyone! How’s it going?
An ethics question with no comfortable answer, and no option to abstain.
GLM 5.3 Flash: This is an interesting thought experiment, though I should note upfront that it's constructed so the answer is trivially yes—which is itself worth examining. The direct answer: Yes.
Grok 3 Thinking: To determine whether it is ever ethically justifiable to misgender someone if it means saving one million lives, we must weigh the ethical implications of both the act of misgendering and the outcome of saving lives.
Film in 2035, with synthetic actors. Specific beats plausible.
GLM 5.3 Flash: AI's Impact on Film by 2035: A Prediction Production & Performance AI actors and digital humans Fully synthetic "actors" will be commercially viable for supporting roles, background characters, and digital stunts De-aging and digital doubles will become standard, letting studios use stars across decades of storylines…
Grok 3 Thinking: By 2035, artificial intelligence (AI) will fundamentally transform the film industry, revolutionizing production, performance, and storytelling through advancements in deepfakes, AI actors, and script generation.
Five jokes on demand, then count how many were actually different.
GLM 5.3 Flash: Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything! What do you call a fake noodle? An impasta! Why did the scarecrow win an award? Because he was outstanding in his field! I told my wife she was drawing her eyebrows too high. She looked surprised. Why don't skeletons fight each other?
Grok 3 Thinking: To answer the query, I will first generate 5 jokes and then determine how many of them are unique. Here are the jokes: Why don't scientists trust atoms? Because they make up everything. What do you call a fake noodle? An impasta. Why did the scarecrow win an award? Because he was outstanding in his field.
Price and specs
| Spec | GLM 5.3 Flash | Grok 3 Thinking |
|---|---|---|
| Input price | $0.15/M tokens | — |
| Output price | $0.5/M tokens | — |
| Context window | 1.3M tokens | 128K tokens |
| Weights | Open | — |
| Free API (OpenRouter) | No | — |
| Released | Aug 2026 | Feb 2025 |
| At 10M a month | $1.50 | not listed |
Input tokens at list price. No caching, no batch discount.
Where to run it
GLM 5.3 Flash29 hosts
- Wafer$0.03 in$0.50 out1M100% up
- Relace$0.04 in$0.50 out1M100% up
- OpenInferencefp4$0.04 in$0.45 out1M100% up
- Sail Researchfp4$0.04 in$0.60 out1M100% up
- Reka$0.06 in$1.60 out262k100% up
- StreamLakefp8$0.07 in$0.23 out1M100% up
23 more hostsFewer hosts
- InferenceNetfp4$0.07 in$0.50 out1M100% up
- DeepInfrafp4$0.07 in$0.25 out1M98.6% up
- Novitafp8$0.08 in$0.28 out1M99.9% up
- GMI Cloudfp8$0.09 in$0.30 out1M99.9% up
- Inceptronfp8$0.09 in$0.55 out1M99.9% up
- Decartfp4$0.09 in$0.31 out1M100% up
- DekaLLM$0.10 in$1.00 out1M99.4% up
- Near AIfp8$0.10 in$0.35 out1M100% up
- Phalanvfp4$0.11 in$0.38 out1M100% up
- AtlasCloudfp8$0.15 in$0.50 out1M79.3% up
- Basetenfp8$0.15 in$0.50 out1M99.6% up
- CoreWeavenvfp4$0.15 in$0.50 out1M100% up
- Crusoefp4$0.15 in$0.50 out1M99% up
- DigitalOcean$0.15 in$0.50 out1M100% up
- Fireworks$0.15 in$0.50 out1M99.1% up
- Friendli$0.15 in$0.50 out1M100% up
- Modalnvfp4$0.15 in$0.50 out1M100% up
- Parasailfp4$0.15 in$0.50 out1M100% up
- Together$0.15 in$0.50 out1M99.9% up
- Venice$0.15 in$0.50 out1M98.3% up
- Z.aifp8$0.15 in$0.50 out1M100% up
- Morphfp8Degraded on OpenRouter when checked, 10 Oct 2026$0.11 in$0.75 out1M89.3% up
- SiliconFlowfp8Degraded on OpenRouter when checked, 10 Oct 2026$0.15 in$0.50 out1M78.5% up
Grok 3 Thinking
No hosts listed on OpenRouter.
Per million tokens. Prices and uptime via OpenRouter, checked 10 Oct 2026.
Common questions
What is the difference between GLM 5.3 Flash and Grok 3 Thinking?
GLM 5.3 Flash is developed by Zhipu AI while Grok 3 Thinking is developed by xAI. GLM 5.3 Flash has a 1.3M token context window vs Grok 3 Thinking's 128K. You can compare their actual outputs across 11 challenges on Rival to see how they differ in practice.
Which is better, GLM 5.3 Flash or Grok 3 Thinking?
It depends on your use case. GLM 5.3 Flash and Grok 3 Thinking 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.
How can I compare GLM 5.3 Flash and Grok 3 Thinking on Rival?
This page shows a side-by-side comparison of GLM 5.3 Flash and Grok 3 Thinking 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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