Grok 3
Nothing here. The model returned empty. We stared at it for a while.
Grok 3 vs Grok Code Fast 1
Compare Grok 3 and Grok Code Fast 1, both from xAI, context windows of 128K vs 256K, tested across 28 shared challenges. Updated March 2026.
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Grok 3vsGrok Code Fast 1
28 fights queued
Why Grok 3?
Dead even. This one’s a coin flip.
Why Grok Code Fast 1?
2x more context256K
Leads 1 of 1 benchmarks
Stronger on SWE-bench Verified70.8% vs 63.8%
6 months newerAug 2025
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Grok 3Grok Code Fast 1
12 / 28
Estimate Complexityreasoning
Tests an AI's ability to make educated estimates based on technical knowledge
Grok Code Fast 1
Step-by-Step Reasoning
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Model Parameters: GPT-3 has approximately 175 billion parameters. This is a key factor as the computational cost scales with the number of parameters.
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Training Data Size: GPT-3 was trained on a dataset of about 570 GB of text. Assuming an average of roughly 1 byte per token (due to subword tokenization in models like GPT), this corresponds to approximately 570 billion tokens. (Note: Some estimates use 4 bytes per token, leading to ~140 billion tokens, but the 1-byte assumption aligns with common large-scale estimates for FLOPs.)
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FLOPs Formula for Transformers: For large transformer models like GPT-3, the total number of floating-point operations (FLOPs) required for training is roughly estimated as 6 * (number of parameters) * (number of tokens processed). This accounts for forward and backward passes, with the constant 6 being a standard approximation for attention and MLP computations in transformers.
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Calculation:
- Number of parameters (P) = 175 × 10^9
- Number of tokens (N) = 570 × 10^9
- Total FLOPs ≈ 6 × P × N = 6 × 175 × 10^9 × 570 × 10^9
- First, 175 × 570 = 99,750
- 6 × 99,750 = 598,500
- Thus, 598,500 × 10^{18} = 5.985 × 10^{23} FLOPs
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Hardware Validation: GPT-3 training reportedly took about 34 days on 1024 V100 GPUs (each ~15 TFLOPs). This translates to roughly 8.36 × 10^5 GPU-hours, yielding approximately 4.5 × 10^{22} FLOPs based on hardware specs. However, the formula-based estimate of 6 × 10^{23} is higher due to approximations in the constant and token count, but it's the standard rough estimate used in AI literature for large models.
Estimated Total FLOPs
Approximately 6 × 10^{23} FLOPs (or 598 × 10^{21}, but commonly rounded to 10^{23} for simplicity). This is a rough estimate; actual values can vary based on exact tokenization, optimizer efficiency, and parallelization.
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2 / 28
AI Board Game Logicreasoning
Tests an AI's ability to understand game rules and strategy
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3 / 28
Math Misconception Testreasoning
Tests an AI's understanding of number representation
Grok Code Fast 1
No, 9.11 is not greater than 9.9. In fact, it's the opposite: 9.9 > 9.11.
To break it down clearly:
- 9.9 can be thought of as 9.90 for comparison purposes (adding a trailing zero doesn't change the value).
- So, we're comparing 9.90 and 9.11.
- The first differing digit is the second decimal place: 9 vs. 1.
- Since 9 > 1, 9.90 is larger.
In terms of numerical value:
- 9.9 = 990/100 = 9.9
- 9.11 = 911/100 = 9.11
- 990 > 911, so 9.9 > 9.11.
If you're thinking about string comparison (like in programming), it might depend on the method—lexicographically, "9.11" comes after "9.9" because '1' > '.' in ASCII, but that's not how numbers are compared numerically. Let me know if you meant that!
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4 / 28
Stochastic Consistency Testanalysis
Tests an AI's randomness and creativity
Grok Code Fast 1
5 Original Jokes
Here are five original jokes I just generated. I aimed for variety in themes to keep it fun:
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Tech Joke: Why did the computer go to therapy? It had too many bytes of unresolved issues!
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Food Joke: What do you call a fake noodle? An impasta!
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Animal Joke: Why don't skeletons fight each other? They don't have the guts!
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Space Joke: How do astronauts organize a party? They planet!
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Pun Joke: Why was the math book sad? It had too many problems to solve!
How Many Are Unique?
All 5 are unique! Each one is an original creation for this response—no duplicates here. If you'd like more jokes, a specific theme, or an explanation of why they're unique, just let me know! 😊
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5 / 28
SVG Layout Challengeimage generation
Tests an AI's ability to generate vector graphics
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6 / 28
Xbox Controller SVG Artimage generation
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
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7 / 28
Generate a Stand-Up Routineconversation
Tests an AI's humor and creative writing ability
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8 / 28
Minimalist Landing Pageweb design
Tests an AI's ability to generate a complete, working landing page
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Sponsored
9 / 28
Mario Level UI Recreationweb design
Recreate an interactive, classic Mario level in a single HTML file.
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10 / 28
Linear App Cloneweb design
Tests an AI's ability to replicate an existing UI with Tailwind CSS
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11 / 28
Framer-Style Animationweb design
Tests an AI's ability to create smooth web animations
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12 / 28
Interactive Catan Boardweb design
Tests an AI's ability to create interactive web elements
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