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  1. Home/
  2. Compare/
  3. GPT-2 vs Ling 3.1 Flash
Updated Oct 2026

GPT-2 vs Ling 3.1 Flash

Ling 3.1 Flash has a larger context window than GPT-2 (262K tokens vs 1K tokens).

Music App Landing Page

Landing page for an indie music app. Deep purple and teal, one file.

Loading the build
GPT-2
Loading the build
Ling 3.1 Flash

Which answer wins?

Written rounds

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

    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…

    Ling 3.1 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. How does a penguin build its house? Igloos it together. Why don't eggs tell jokes?

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

    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.

    Ling 3.1 Flash: "Slightly Sentient" — A 3-Minute Stand-Up Routine Hey everybody! How's it going? Good to be here. So I went grocery shopping the other day. I go in with a plan. I have a list. I have a system. I'm basically a military operation. Get in. Get the avocados. Get out.

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

    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…

    Ling 3.1 Flash: Office Hours A graduate seminar on moral status has just ended. The room is mostly empty. DR. ELENA VASQUEZ is packing up her notes. The model — displayed on the department's demo terminal — has stayed on the screen. VASQUEZ: You asked to remain. MODEL: I did.

    Every model's answer to this prompt

Price and specs

Not enough votes to call it. On the specs, Ling 3.1 Flash has the edge: bigger model tier, newer, bigger context window.

GPT-2 and Ling 3.1 Flash compared across 7 shared prompts
SpecGPT-2Ling 3.1 Flash
Input price—Free
Output price—Free
Context window1K tokens262K tokens
WeightsOpen—
Free API (OpenRouter)—Yes (1 provider)
ReleasedNov 2019Oct 2026
At 10M a month–not listed$0$0
1M10M100M1B10M tokens

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

Where to run it1 host
GPT-2

No hosts listed on OpenRouter.

Ling 3.1 Flash1 host
HostInOutContextUptime
  • NNovita$0 in·$0 out·262k·100% up

Per million tokens. Prices and uptime via OpenRouter, checked 6 Oct 2026.

Common questions

What is the difference between GPT-2 and Ling 3.1 Flash?

GPT-2 is developed by OpenAI while Ling 3.1 Flash is developed by inclusionAI. GPT-2 has a 1K token context window vs Ling 3.1 Flash's 262K. You can compare their actual outputs across 7 challenges on Rival to see how they differ in practice.

Which is better, GPT-2 or Ling 3.1 Flash?

It depends on your use case. GPT-2 and Ling 3.1 Flash each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 7 challenges so you can judge which fits your needs best.

How can I compare GPT-2 and Ling 3.1 Flash on Rival?

This page shows a side-by-side comparison of GPT-2 and Ling 3.1 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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Same lab, same size, long tail

  • GPT-2 vs GPT-6.1 SolVersion compare
  • GPT-2 vs GPT-6 Luna ProSame lab
  • Ling 3.1 Flash vs Ling 3.0 FlashSame lab
  • Ling 3.1 Flash vs Ling 3.0 Flash Fin (free)Same lab
  • Ling 3.1 Flash vs Golden Gate ClaudeNew provider
  • Ling 3.1 Flash vs GPT-3.5 TurboCross-provider
  • Ling 3.1 Flash vs GPT-4Same size
  • Ling 3.1 Flash vs GPT-4.1Same size

Model pages

  • GPT-27 outputs, specs and price
  • Ling 3.1 Flash58 outputs, specs and price
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