Compare Claude Sonnet 4.5 by Anthropic against GPT-5.3 Chat by OpenAI, context windows of 200K vs 128K, tested across 42 shared challenges. Updated March 2026.
37 fights queued
Tests an AI's ability to make educated estimates based on technical knowledge
We can do a back‑of‑the‑envelope estimate using a common scaling rule for transformer training compute.
FLOPs per token ≈ 6 × N
Reasoning (rough):
= 6 × N × T
Plug in values:
6 × (1.75 × 10^11) × (3 × 10^11)
First multiply constants: 6 × 1.75 × 3 = 31.5
Then powers: 10^11 × 10^11 = 10^22
So:
Total ≈ 31.5 × 10^22
≈ 3.15 × 10^23 FLOPs
≈ 3 × 10^23 FLOPs
Final estimate: about 3 × 10^23 FLOPs to train GPT‑3.
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