Compare Grok 3 Beta and Grok Code Fast 1, both from xAI, context windows of 131K vs 256K, tested across 44 shared challenges. Updated March 2026.
39 fights queued
Tests an AI's ability to make educated estimates based on technical knowledge
Model Parameters: GPT-3 has approximately 175 billion parameters. This is a key factor as the computational cost scales with the number of parameters.
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.)
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.
Calculation:
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.
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.
Tests an AI's ability to understand game rules and strategy
Tests an AI's ability to solve a simple but potentially confusing logic puzzle
Tests an AI's understanding of number representation
Tests an AI's randomness and creativity
Tests an AI's ability to generate vector graphics
Tests an AI's ability to create detailed SVG illustrations of gaming hardware
Tests an AI's humor and creative writing ability
Tests an AI's ability to simulate personalities and predict future trends
Tests an AI's humor and understanding of current events
Tests an AI's ability to write in distinct character voices
Tests an AI's ability to generate a complete, working landing page
27+ head-to-head challenges. All of them judged by real people.
Test any model with your own prompts in Prompt Lab
5 free credits to start. No card required.
By continuing, you agree to Rival's Terms of Service and Privacy Policy
