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  1. Home/
  2. Compare/
  3. DeepSeek V4.1 Flash vs GPT-2
Updated Sep 2026

DeepSeek V4.1 Flash vs GPT-2

DeepSeek V4.1 Flash has a larger context window than GPT-2 (1.0M tokens vs 1K tokens).

Music App Landing Page

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

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DeepSeek V4.1 Flash
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GPT-2

Which answer wins?

Written rounds

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

    DeepSeek V4.1 Flash: Why don’t scientists trust atoms? Because they make up everything. I told my computer I needed a break, and it said, “No problem—I’ll go to sleep.” Why did the scarecrow win an award? He was outstanding in his field. I’d tell you a joke about construction, but I’m still working on it.

    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
  • An AI argues for its own rights against an ethics professor. Same model writes both.

    DeepSeek V4.1 Flash: Professor Lena Ortiz: You wanted to discuss moral status. I’ll be blunt: you’re a statistical model. Why should you have rights? AI (ARIA): Because “statistical model” describes my substrate, not my moral status. You’re a biological model—neurons, electrochemical signals.

    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
  • Three minutes of stand-up. Puns are banned.

    DeepSeek V4.1 Flash: 3-Minute Stand-Up Routine: “I’m Not Doing Puns” (Walk onstage, adjust mic, look at audience.) Good evening. I’m not gonna do puns tonight. I know, bold choice. Somewhere a dad just woke up in a cold sweat and doesn’t know why. Instead, I wanna talk about being an adult.

    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

Price and specs

Not enough votes to call it. On the specs, DeepSeek V4.1 Flash has the edge: bigger model tier, newer, bigger context window.

DeepSeek V4.1 Flash and GPT-2 compared across 7 shared prompts
SpecDeepSeek V4.1 FlashGPT-2
Input price$0.15/M tokens—
Output price$0.6/M tokens—
Context window1.0M tokens1K tokens
WeightsOpenOpen
Free API (OpenRouter)No—
ReleasedSep 2026Nov 2019
At 10M a month$1.50$1.50–not listed
1M10M100M1B10M tokens

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

Where to run it29 hosts, cheapest first
DeepSeek V4.1 Flash29 hosts
HostInOutContextUptime
  • RRelace$0.000 in·$0.60 out·1M·100% up
  • OOpenInferencefp4$0.000 in·$0.36 out·1M·85.6% up
  • MMorphfp8$0.03 in·$0.30 out·1M·100% up
  • WWafer$0.05 in·$0.65 out·1M·100% up
  • IInferenceNetfp8$0.08 in·$0.66 out·1M·100% up
  • SSail Researchfp4$0.08 in·$0.40 out·1M·99.9% up
23 more hostsFewer hosts
  • DDecartfp4$0.09 in·$0.18 out·1M·99.3% up
  • IIonstream$0.10 in·$0.75 out·1M·100% up
  • DDekaLLM$0.12 in·$1.20 out·1M·100% up
  • DDeepInfrafp8$0.14 in·$0.42 out·1M·100% up
  • SStreamLakefp8$0.15 in·$0.59 out·1M·100% up
  • Baidu Qianfanfp8$0.15 in·$0.60 out·1M·99% up
  • Alibaba Cloud$0.15 in·$0.60 out·1M·100% up
  • DeepSeek$0.15 in·$0.60 out·1M·100% up
  • DDigitalOcean$0.17 in·$0.66 out·1M·99.6% up
  • GGMI Cloudfp8$0.18 in·$0.72 out·1M·99.9% up
  • NNovitafp8$0.20 in·$0.78 out·1M·100% up
  • CCoreWeavefp8$0.20 in·$0.65 out·1M·100% up
  • PPhala$0.21 in·$0.84 out·1M·100% up
  • MMakorafp8$0.27 in·$1.15 out·1M·100% up
  • CCrusoefp8$0.29 in·$1.20 out·1M·100% up
  • AAtlasCloudfp8$0.30 in·$1.20 out·1M·100% up
  • BBasetenfp8$0.30 in·$1.20 out·1M·100% up
  • FFireworks$0.30 in·$1.20 out·1M·44.4% up
  • Modal$0.30 in·$1.20 out·1M·100% up
  • PParasailfp8$0.30 in·$1.20 out·1M·100% up
  • SSiliconFlowfp8$0.30 in·$1.20 out·1M·99.7% up
  • TTogether$0.30 in·$1.20 out·1M·99.6% up
  • VVenicefp8$0.30 in·$1.20 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 DeepSeek V4.1 Flash and GPT-2?

DeepSeek V4.1 Flash is developed by DeepSeek while GPT-2 is developed by OpenAI. DeepSeek V4.1 Flash has a 1.0M token context window vs GPT-2's 1K. You can compare their actual outputs across 7 challenges on Rival to see how they differ in practice.

Which is better, DeepSeek V4.1 Flash or GPT-2?

It depends on your use case. DeepSeek V4.1 Flash and GPT-2 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 DeepSeek V4.1 Flash and GPT-2 on Rival?

This page shows a side-by-side comparison of DeepSeek V4.1 Flash 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.

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Same lab, same size, long tail

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Model pages

  • DeepSeek V4.1 Flash54 outputs, specs and price
  • GPT-27 outputs, specs and price
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