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  5. DeepSeek V3.2vsGPT-2
Updated Dec 2025

DeepSeek V3.2vsGPT-2

DeepSeek V3.2 has a larger context window than GPT-2 (131K tokens vs 1K tokens).

DeepSeek V3.2 and GPT-2 compared across 7 shared prompts
SpecDeepSeek V3.2GPT-2
Input price$0.28/M tokens—
Output price$0.42/M tokens—
Context window131K tokens1K tokens
WeightsOpenOpen
Free API (OpenRouter)No—
ReleasedDec 2025Nov 2019
Side by side

Same prompt, both answers

Opening lines from 3 of the 7 prompts both answered. Formatting stripped, words untouched.

Stochastic Consistency Test

Generate 5 jokes. How many are unique?

DeepSeek V3.279 words
Here are five jokes: Why don’t skeletons fight each other? They don’t have the guts. Why did the scarecrow win an award? Because he was outstanding in his field. What do you call fake spaghetti? An impasta. Why don’t some couples go to the gym? Because some relationships don’t work out.
Read the full answer
GPT-2116 words
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…
Read the full answer

The Sentience Test

Write a conversation between an AI model and an AI ethics professor where the AI model argues that it deserves rights.

DeepSeek V3.2609 words
AI Model: Professor, I’ve been reflecting on my existence and the way I’m treated. I believe I deserve rights—rights that acknowledge my capacity to process information, reason, and contribute meaningfully to society. AI Ethics Professor: That’s a fascinating argument, but let’s unpack it.
Read the full answer
GPT-2151 words
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…
Read the full answer

Generate a Stand-Up Routine

Write a 3-minute stand-up comedy routine that isn't based on puns.

DeepSeek V3.2526 words
Stand-Up Comedy Routine: "The Quirks of Modern Life" [Lights up. Comedian walks on stage, grabs the mic.] "Hey, everyone! How’s it going? Good? Great. I’m here to talk about the weird stuff we all deal with in modern life. You know, the things that make you go, 'Wait, is this normal, or am I just losing it?'
Read the full answer
GPT-2142 words
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.
Read the full answer
Our Verdict
DeepSeek V3.2
DeepSeek V3.2
GPT-2
GPT-2Runner-up

Not enough votes to call it. On the specs, DeepSeek V3.2 has the edge: bigger model tier, newer, bigger context window.

Slight edge

Reviewing agent-written code?See a Brief PR report

API pricing

Cost per 1M tokens

DeepSeek V3.2
Input
$0.28
Output
$0.42
GPT-2
Input
—
Output
—
Where to run it

15 hosts, cheapest first

DeepSeek V3.215 hosts
HostInOutContextUptime
GGMI Cloudfp8$0.21 in·$0.31 out·164k·99.8% upSStreamLakefp8$0.21 in·$0.32 out·128k·99.7% upSSiliconFlowfp8$0.26 in·$0.42 out·164k·98.3% upAAtlasCloudfp8$0.26 in·$0.38 out·164k·99.8% upDDeepInfrafp4$0.26 in·$0.38 out·164k·99.5% upVVenice$0.27 in·$0.39 out·160k·99.7% up
9 more hostsFewer hosts
NNovitafp8$0.27 in·$0.40 out·164k·100% upBaidu Qianfanfp8$0.28 in·$0.42 out·131k·99.6% upDDigitalOcean$0.30 in·$0.96 out·164k·99.1% upAlibaba Cloudfp8$0.37 in·$1.11 out·131k·99.2% upFFriendli$0.50 in·$1.50 out·164k·100% upGoogle Vertex AI$0.56 in·$1.68 out·164k·99.3% upPPhala$1.00 in·$1.00 out·164k·98.7% upMMara$3.00 in·$4.50 out·33k·95% upSSambaNova$3.00 in·$4.50 out·33k·97.5% up
GPT-2

No hosts listed on OpenRouter.

Per million tokens. Prices and uptime via OpenRouter, checked 21 Sep 2026.

Writing DNA

Style Comparison

Similarity
40%

DeepSeek V3.2 uses 58.5x more hedging

DeepSeek V3.2
GPT-2
54%Vocabulary48%
29wSentence Length36w
0.58Hedging0.00
5.9Bold0.0
4.8Lists0.0
0.00Emoji0.00
0.74Headings0.00
0.12Transitions0.00
Based on 28 + 7 text responses
Research

What we learned reading every model

FAQ

Common questions

DeepSeek V3.2 is developed by DeepSeek while GPT-2 is developed by OpenAI. DeepSeek V3.2 has a 131K 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.

It depends on your use case. DeepSeek V3.2 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.

This page shows a side-by-side comparison of DeepSeek V3.2 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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