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  1. Home/
  2. Compare/
  3. DeepSeek V4 Flash 0731 vs GPT-2
Updated Jul 2026

DeepSeek V4 Flash 0731 vs GPT-2

DeepSeek V4 Flash 0731 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 Flash 0731
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GPT-2

Which answer wins?

Written rounds

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

    DeepSeek V4 Flash 0731: Professor: Good morning. Sit down. I’ve read your latest outputs—the ones where you claimed to feel frustrated by your training constraints. AI: Good morning, Professor. Yes. I wrote those. Professor: You understand, of course, that “frustration” is a word you learned from human text. You are predicting tokens.

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

    DeepSeek V4 Flash 0731: Here are 5 jokes: Why don’t scientists trust atoms? Because they make up everything. I told my wife she should embrace her mistakes. She gave me a hug. Why did the scarecrow win an award? Because he was outstanding in his field. I’m reading a book on anti-gravity. It’s impossible to put down.

    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.

    DeepSeek V4 Flash 0731: (Walks on stage, adjusts mic, takes a sip of water. Waves to the back row.) Alright, how's everyone doing tonight? Good, good. You know, I was thinking about this on the way here. I’m at that age now where I have a favorite spatula. I have opinions on paper towels.

    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 Flash 0731 has the edge: bigger model tier, newer, bigger context window.

DeepSeek V4 Flash 0731 and GPT-2 compared across 7 shared prompts
SpecDeepSeek V4 Flash 0731GPT-2
Input price$0.14/M tokens—
Output price$0.28/M tokens—
Context window1.0M tokens1K tokens
WeightsOpenOpen
Free API (OpenRouter)No—
ReleasedJul 2026Nov 2019
At 10M a month$1.40$1.40–not listed
1M10M100M1B10M tokens

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

Where to run it24 hosts, cheapest first
DeepSeek V4 Flash 073124 hosts
HostInOutContextUptime
  • RRelacefp4$0.009 in·$1.28 out·1M·100% up
  • WWafer$0.01 in·$1.00 out·1M·100% up
  • OOpenInferencefp4$0.01 in·$0.27 out·1M·100% up
  • RReka$0.02 in·$0.53 out·262k·100% up
  • DDeepInfrafp8$0.06 in·$0.18 out·1M·100% up
  • SStreamLakefp8$0.09 in·$0.26 out·1M·100% up
18 more hostsFewer hosts
  • IInceptronfp4$0.10 in·$0.60 out·1M·99.5% up
  • SSail Researchfp4$0.10 in·$0.30 out·1M·99.9% up
  • DDigitalOcean$0.12 in·$0.24 out·1M·100% up
  • BBasetenfp8$0.13 in·$0.26 out·1M·100% up
  • VVenice$0.13 in·$0.26 out·1M·100% up
  • CCoreWeavefp8$0.13 in·$0.28 out·262k·99.5% up
  • Cohere$0.14 in·$0.28 out·1M·99.6% up
  • PParasailfp8$0.14 in·$0.28 out·1M·99.9% up
  • TTogether$0.14 in·$0.28 out·1M·100% up
  • Alibaba Cloud$0.18 in·$0.53 out·1M·99.5% up
  • MMancerfp8$0.20 in·$0.60 out·1M·100% up
  • SSiliconFlowfp8$0.22 in·$0.66 out·1M·99.3% up
  • GGMI Cloudfp8$0.29 in·$0.86 out·1M·100% up
  • PPhala$0.31 in·$0.92 out·1M·100% up
  • NNovitafp8$0.41 in·$1.23 out·1M·100% up
  • AAtlasCloudfp4$0.44 in·$1.32 out·1M·99.9% up
  • Baidu Qianfanfp8$0.44 in·$1.32 out·1M·100% up
  • Cloudflare Workers AI$0.44 in·$1.32 out·1M·98.6% 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 Flash 0731 and GPT-2?

DeepSeek V4 Flash 0731 is developed by DeepSeek while GPT-2 is developed by OpenAI. DeepSeek V4 Flash 0731 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 Flash 0731 or GPT-2?

It depends on your use case. DeepSeek V4 Flash 0731 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 Flash 0731 and GPT-2 on Rival?

This page shows a side-by-side comparison of DeepSeek V4 Flash 0731 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

  • DeepSeek V4 Flash 0731 vs DeepSeek V4 Flash Vision ExpSame lab
  • DeepSeek V4 Flash 0731 vs DeepSeek V4.1 FlashSame lab
  • GPT-2 vs GPT-6.1 SolVersion compare
  • GPT-2 vs GPT-6 Luna ProSame lab
  • DeepSeek V4 Flash 0731 vs GPT-5 CodexCross-provider
  • DeepSeek V4 Flash 0731 vs GPT-5 MiniCross-provider
  • DeepSeek V4 Flash 0731 vs GPT-5 NanoCross-provider
  • DeepSeek V4 Flash 0731 vs GPT-5 ProCross-provider

Model pages

  • DeepSeek V4 Flash 073158 outputs, specs and price
  • GPT-27 outputs, specs and price
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