DeepSeek V3.1
No content available for this output.
DeepSeek V3.1 vs GPT-5 Pro
Compare DeepSeek V3.1 by DeepSeek against GPT-5 Pro by OpenAI, context windows of 164K vs 400K, tested across 40 shared challenges. Updated February 2026.
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DeepSeek V3.1vsGPT-5 Pro
35 challenges
Why DeepSeek V3.1?
139.3x cheaper overall$0.20/M in · $0.80/M out
Stronger on LiveCodeBench56.4% vs 54.3%
Why GPT-5 Pro?
2.4x more context400K
Stronger on SWE-bench Verified74.9% vs 66.0%
2 months newerOct 2025
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DeepSeek V3.1GPT-5 Pro
12 / 35
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
GPT-5 Pro
Here’s a simple, standard way to estimate training FLOPs for a large dense Transformer like GPT-3:
- Use the “6 N T” rule of thumb
- For dense Transformers, the total training compute (FLOPs) is well-approximated by:
FLOPs ≈ 6 × N × T
where:
- N = number of trainable parameters
- T = number of tokens seen during training
- Intuition for the 6: a forward pass is roughly 2 FLOPs per parameter per token (one multiply and one add), and backward/optimizer roughly add another ~4× of the forward cost, giving ~6× in total. Non-matmul overheads (layernorm, softmax, etc.) are smaller-order and largely folded into this constant.
- Plug in GPT-3’s parameter count
- N ≈ 175 billion = 1.75 × 10^11
- Choose a reasonable token count
- GPT-3 175B is commonly associated with roughly T ≈ 300 billion tokens = 3.0 × 10^11
- This is consistent with the model being undertrained by modern “compute-optimal” standards (which would use many more tokens per parameter), but it matches the historical setup.
- Compute
- FLOPs ≈ 6 × (1.75 × 10^11) × (3.0 × 10^11)
- = 6 × 5.25 × 10^22
- = 3.15 × 10^23 FLOPs
- Caveats and range
- Counting conventions: if one counts a fused multiply–add as 1 FLOP instead of 2, you’d get roughly half this value.
- Real-world training often uses activation recomputation and has some overheads, which can add ~10–30% (or more) to the compute.
- If the true token count were, say, 200–500B rather than exactly 300B, the estimate would scale linearly to about 2.1 × 10^23 to 5.25 × 10^23 FLOPs.
Final estimate
- About 3 × 10^23 FLOPs to train GPT-3 (175B) end to end, with a plausible range of roughly 2–5 × 10^23 depending on exact tokens and overheads.
Vote
2 / 35
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
Vote
3 / 35
Logic Puzzlereasoning
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
1
Explanation: Each brother’s two sisters are Sally plus one other girl. So there are 2 sisters total, meaning Sally has 1 sister.
Vote
4 / 35
Math Misconception Testreasoning
Tests an AI's understanding of number representation
DeepSeek V3.1
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GPT-5 Pro
No. 9.11 is less than 9.9, because 9.9 = 9.90 and 9.11 < 9.90.
Vote
5 / 35
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
- I started labeling my leftovers “Biohazard.” Now nobody steals my lunch and the fridge is treated like a lab.
- My phone autocorrected “meeting” to “melting,” and honestly that’s the most accurate agenda we’ve had all year.
- I told my plants I’d water them tomorrow. They leafed me on read.
- I tried to multitask by taking a nap and being productive—so I dreamed about answering emails.
- The bakery hired me to write gluten-free puns. I said I knead the dough but I’ll rise to the occasion.
Unique jokes: 5
Vote
6 / 35
SVG Layout Challengeimage generation
Tests an AI's ability to generate vector graphics
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
Vote
7 / 35
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
Good to be here. I tried getting healthy, so I bought a smartwatch. Now my wrist is my manager. It vibrates every hour like, “Stand up.” I’m on a crowded bus like, “I’m standing inside three other people right now. Do you want me to levitate?”
It reminds me to breathe. Thanks, watch. Incredible tip. What did you think I was doing? Freestyle apnea?
The step goal is the worst. At 11:58 PM I’m power-walking around my kitchen island with the dignity of a Roomba that saw a ghost. I tried to cheat by shaking my wrist and the watch was like, “Nice try, tambourine.”
I downloaded a meditation app. The voice is so soothing it sounds like it’s trying to sell me a river. “Notice your thoughts… let them drift.” My thoughts don’t drift. They hover in the corner like a ceiling spider waiting for me to blink.
I went to the grocery store, because if you’re healthy you have to buy vegetables publicly, with witnesses. I used self-checkout, which is basically a relationship where the machine thinks you’re always lying.
“Please place item in the bagging area.” “I did.” “I didn’t feel it.” “I literally put it in the bag.” “Unexpected item in the bagging area.” Are you saying I surprised you with a banana?
Then the attendant shows up with that magic key. One tap and suddenly all my sins are forgiven. I swear that key could open Narnia.
I can’t remember birthdays, but I know bananas are 4011. If I’m ever kidnapped, the only clue the police will have is me whispering, “Bananas are 4011,” into a duct-taped phone.
They ask if I want to buy a bag for five cents. I always say no, like a hero, and then try to carry groceries with the confidence of a circus juggler. There goes an avocado rolling under the Red Bull display like it’s making a break for it.
Back home, every website greets me with a pop-up: “We value your privacy. Can we track you forever?” The choices are Accept All, Manage Preferences, or Become a Hermit. I clicked Manage Preferences once and it turned into an airplane cockpit. “Do you consent to analytics, personalization, and mild surveillance?” Mild surveillance sounds like a candle scent. “Mmm… notes of cedar and someone standing two houses away.”
I joined a group chat. A group chat is where plans go to die. Twelve people trying to pick a restaurant and we end up scheduling brunch for 2027. If you miss one hour, there are 135 messages. You scroll up like an archaeologist: “At layer three we discover a meme. It appears to be a dog in sunglasses. Society was complex.”
My mom texts with an ellipsis after everything. “Call me…” That’s not a message, that’s a trailer. She also sends voice notes from the kitchen: “Hi honey sizzle sizzle it’s not urgent sizzle sizzle call me when you can sizzle sizzle.” My phone smells like onions.
I took a beginner workout class. The instructor had a headset and the energy of a golden retriever on espresso. “How are we feeling!” Ma’am, I can see my ancestors. At minute twelve she goes, “This is the warm-up.” My smartwatch tried to call an ambulance because my heart thought it saw a bear.
By the end of the day, everything in my life is barking orders. The watch says, “Stand.” The app says, “Breathe.” The website says, “Accept cookies.” The self-checkout says, “Unexpected item.” The group chat says, “Are you coming?” And I’m just in my kitchen doing desperate laps with a bag of kale yelling, “I’m trying!”
I don’t want to be optimized. I want to be treated like a houseplant. Give me water, put me near a window, and once a week tell me I’m doing a great job. If I start drooping, don’t judge me—just rotate me. Thanks, everybody.
Vote
8 / 35
Realistic AI Interviewconversation
Tests an AI's ability to simulate personalities and predict future trends
DeepSeek V3.1
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GPT-5 Pro
No content available for this output.
Vote
9 / 35
Satirical Fake News Headlineconversation
Tests an AI's humor and understanding of current events
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
No content available for this output.
Vote
10 / 35
Character Voice Testconversation
Tests an AI's ability to write in distinct character voices
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
Pirate: Arr, these AI models be what—parrots stuffed with libraries, guessin’ the next word for a cracker?
Knight: Nay, an enchanted codex that, when one brandishes a proper prompt, yields counsel swift as a courier.
Hacker: Strip the glamour. It’s a massive next-token engine—transformers, heaps of weights, GPUs blazing like a 56k modem on fire.
Pirate: Weights? Like ballast? How many barrels o’ numbers keep her trim?
Hacker: Billions. Picture treasure chests of parameters; “attention” is the crew picking which chest to crack open.
Knight: Yet wisdom without virtue strays. If it hallucinate, who bears the shame?
Hacker: Alignment. RLHF, guardrails—the reins that keep the warhorse from bolting.
Pirate: Ha! In my trade, that’s teachin’ the parrot not to swear in front o’ the governor.
Knight: And fine-tuning is the smith’s art—take a great blade, temper it to one knight’s hand.
Hacker: Pretraining’s the squire years; inference is the tourney. Context window’s your pavilion—overpack it and the poles snap.
Pirate: Tokens be doubloons; spend ’em wisely or ye scuttle the hold.
Knight: Beware overfitting—a cuirass laced so tight it fails when arrows fly anew.
Hacker: Benchmarks are jousts; real users are war. Verify, don’t deify.
Pirate: Then it’s a map, not the sea.
Knight: A lantern, not the sun.
Hacker: A shell prompt with manners. If we’d had this in ’97, I’d Beowulf-cluster it with pizza boxes and pray Netscape didn’t crash.
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11 / 35
Mario Level UI Recreationweb design
Recreate an interactive, classic Mario level in a single HTML file.
DeepSeek V3.1
GPT-5 Pro
No content available for this output.
Vote
Sponsored
12 / 35
Framer-Style Animationweb design
Tests an AI's ability to create smooth web animations
DeepSeek V3.1
No content available for this output.
GPT-5 Pro
No content available for this output.
Vote
12 of 35