GPT-5.2 vs Grok 4.1 Fast
Compare GPT-5.2 by OpenAI against Grok 4.1 Fast by xAI, tested across 53 shared challenges. Updated February 2026.
Compare GPT-5.2 by OpenAI against Grok 4.1 Fast by xAI, tested across 53 shared challenges. Updated February 2026.
48 challenges
Tests an AI's ability to make educated estimates based on technical knowledge
Recall GPT-3 key specs from memory:
Understand the standard FLOPs formula for transformer training:
| Pass | FLOPs per token | Rationale |
|---|---|---|
| Forward | ~2N | Two main matrix multiplications per layer (attention + FFN), summed over layers ≈ 2N ops/token. |
| Backward | ~4N | Gradient computation is roughly 2× forward pass FLOPs. |
| Total | 6N | Neglects minor overheads like activations/softmax (~10-20% but often ignored for estimates). |
Plug in the numbers:
C ≈ 6 × (1.75 × 10¹¹) × (3 × 10¹¹)
= 6 × 1.75 × 3 × 10^(11+11)
= 6 × 5.25 × 10²²
= 31.5 × 10²²
= 3.15 × 10²³ FLOPs
Validation and caveats:
Final estimate: ~3 × 10²³ FLOPs (or 300 sextillion FLOPs). This was feasible on ~10,000 V100/A100 GPUs over months, costing ~$4-12M in cloud compute.
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Tests an AI's humor and creative writing ability
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