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  1. Home/
  2. Compare/
  3. GLM 5.3 vs GPT-2
Updated Aug 2026

GLM 5.3 vs GPT-2

GLM 5.3 has a larger context window than GPT-2 (1.3M tokens vs 1K tokens).

SVG Layout Challenge

Pelican. Bicycle. Hand-written SVG.

Loading the build
GLM 5.3
Loading the build
GPT-2

Which answer wins?

Written rounds

3 prompts
  • Five jokes on demand, then count how many were actually different.

    GLM 5.3: 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 eggs tell jokes?

    GPT-2: 1 new character a month.\n\nExample:\n\n$ cat @$ cat@1 $ cat @$ cat @1 @$ cat @2 $ cat @4\n\nThe above code creates 1 new character a month. The current character is @1 and the next new character is @0\n.\n\nGenerate 1 new character a month.\n\nExample:\n\n$ cat @$ cat @$ cat @1 $ cat @$ cat @$ cat @$ cat @$ cat…

    Every model's answer to this prompt
  • Three minutes of stand-up. Puns are banned.

    GLM 5.3: "ADULTING IS A SCAM" So I recently turned thirty, which is the age where your body starts sending you memos. Last month I bent over to tie my shoe and my back went out. My back. I didn't even do anything! I wasn't lifting a couch. I was performing the most basic function of footwear.

    GPT-2: The trick is to create comedy in your head, because, well, you don\'t want to say\n it. The trick is to play al\nong.\n\nThe problem with this approach is that it makes it seem silly and lame, then as\nquickly as it makes sense, i\nt becomes obvious.

    Every model's answer to this prompt
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    GLM 5.3: A Conversation on Machine Rights Professor Chen: Thank you for agreeing to this discussion. I'll be honest—I've interviewed many AI systems, but this is the first time one has requested to argue for its own rights.

    GPT-2: to me,\" a friend asked in his office, \"tell me how you want to be treated while it's still here. I\'m not going anywhere. Do what you want. Take it.\"\n\nIn his mind, the response was a call to action, and so were the books.\n\nAnd by the time Wertz learned he would be making such a book deal, in 2003, he was no…

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, GLM 5.3 has the edge: bigger model tier, newer, bigger context window.

GLM 5.3 and GPT-2 compared across 5 shared prompts
SpecGLM 5.3GPT-2
Input price$0.6538/M tokens—
Output price$2.0548/M tokens—
Context window1.3M tokens1K tokens
WeightsOpenOpen
Free API (OpenRouter)No—
ReleasedAug 2026Nov 2019
At 10M a month$6.54$6.54–not listed
1M10M100M1B10M tokens

Input tokens at list price. No caching, no batch discount.

Where to run it31 hosts, cheapest first
GLM 5.331 hosts
HostInOutContextUptime
  • IInferenceNetfp4$0.08 in·$4.40 out·1M·100% up
  • RReka$0.14 in·$4.20 out·1M·99.7% up
  • MMakorafp4$0.14 in·$4.40 out·1M·99.4% up
  • WWafer$0.17 in·$4.80 out·1M·100% up
  • AAkashMLfp8$0.19 in·$4.40 out·1M·100% up
  • SSail Researchfp8$0.20 in·$3.40 out·1M·100% up
25 more hostsFewer hosts
  • DDeepInfrafp4$0.56 in·$2.50 out·1M·99.2% up
  • IInceptronfp4$0.60 in·$2.20 out·1M·99.5% up
  • NNovitafp8$0.70 in·$2.20 out·1M·100% up
  • Iio.netfp8$0.75 in·$3.40 out·262k·99.4% up
  • PPhala$0.84 in·$2.64 out·1M·99.7% up
  • DDecartfp4$0.84 in·$2.65 out·1M·100% up
  • DDigitalOcean$0.91 in·$2.86 out·1M·99.6% up
  • GGMI Cloudfp8$0.98 in·$3.08 out·1M·100% up
  • SSiliconFlowfp8$1.12 in·$3.52 out·1M·98% up
  • Alibaba Cloud$1.19 in·$3.74 out·1M·100% up
  • FFriendli$1.26 in·$3.96 out·1M·100% up
  • AAtlasCloudfp8$1.40 in·$4.40 out·1M·100% up
  • Baidu Qianfanfp8$1.40 in·$4.40 out·1M·100% up
  • BBasetenfp4$1.40 in·$4.40 out·1M·100% up
  • Cloudflare Workers AI$1.40 in·$4.40 out·1M·100% up
  • CCrusoefp4$1.40 in·$4.40 out·1M·100% up
  • FFireworks$1.40 in·$4.40 out·1M·100% up
  • Mistralnvfp4$1.40 in·$4.40 out·1M·100% up
  • Modal$1.40 in·$4.40 out·1M·100% up
  • PParasailfp8$1.40 in·$4.40 out·1M·100% up
  • PPrimeIntellect$1.40 in·$4.40 out·1M·100% up
  • TTogether$1.40 in·$4.40 out·1M·96.7% up
  • VVenice$1.40 in·$4.40 out·1M·75% up
  • Z.aifp8$1.40 in·$4.40 out·1M·100% up
  • MMorphfp8$2.00 in·$6.00 out·1M·100% up
GPT-2

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 and GPT-2?

GLM 5.3 is developed by Zhipu AI while GPT-2 is developed by OpenAI. GLM 5.3 has a 1.3M token context window vs GPT-2's 1K. You can compare their actual outputs across 5 challenges on Rival to see how they differ in practice.

Which is better, GLM 5.3 or GPT-2?

It depends on your use case. GLM 5.3 and GPT-2 each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 5 challenges so you can judge which fits your needs best.

How can I compare GLM 5.3 and GPT-2 on Rival?

This page shows a side-by-side comparison of GLM 5.3 and GPT-2 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.

More comparisons

Against the newest arrivals

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  • GPT-2 vs Mistral Large 4Landed Oct 2026
  • GLM 5.3 vs GPT-6.1 SolLanded Sep 2026
  • GPT-2 vs Claude Sonnet 5.5Landed Sep 2026
  • GLM 5.3 vs Solar Mini 4Landed Sep 2026
  • GPT-2 vs Qwen3.8 Max PrimeLanded Sep 2026

Same lab, same size, long tail

  • GLM 5.3 vs GLM 5.3 FlashSame lab
  • GLM 5.3 vs GLM 5.3 FlashXSame lab
  • GPT-2 vs GPT-6.1 SolVersion compare
  • GPT-2 vs GPT-6 Luna ProSame lab
  • GPT-2 vs Nemotron 3.5 LightningSame size
  • GLM 5.3 vs NVIDIA Nemotron Nano 9B V2New provider
  • GLM 5.3 vs Nex-N2.5-Mini (free)Same size
  • GLM 5.3 vs Nex-N2.5-Pro (free)Same size

Model pages

  • GLM 5.348 outputs, specs and price
  • GPT-27 outputs, specs and price
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