Updated Aug 7, 2025

Our Verdict

Grok 3

GPT-5 Nano

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Grok 3vsGPT-5 Nano

28 fights queued

Why Grok 3?

Leads 1 of 1 benchmarks

Stronger on SWE-bench Verified63.8% vs 54.7%

Why GPT-5 Nano?

6 months newerAug 2025

12 / 28

01

Estimate Complexityreasoning

Tests an AI's ability to make educated estimates based on technical knowledge

Grok 3

Grok 3

Xai · Feb 2025text

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025text

Here’s a back-of-the-envelope estimate for the total FLOPs to train GPT-3 (the 175B-parameter model) using reasonable public details, without looking anything up.

Assumptions (typical GPT-3 specs)

Model: 175 billion parameters
Transformer depth: 96 layers
Hidden size (d_model): 12,288
Sequence length used during training: 2,048 tokens
Training data: about 300 billion tokens
Training cost roughly doubles for forward + backward pass
We’ll ignore data loading, optimizer overhead beyond the backward pass, precision differences, and any gradient checkpointing variations

Step 1: FLOPs per forward pass for one 2,048-token sequence

Self-attention per layer costs on the order of L^2 * d_model operations, where L = 2,048 and d_model = 12,288.
- L^2 * d_model = 2,048^2 * 12,288 ≈ 51.54 × 10^9 operations per layer
- Across 96 layers: 51.54e9 × 96 ≈ 4.96 × 10^12 FLOPs for attention per forward pass
Feed-forward network (FFN) per layer costs roughly 8 × d_model^2 operations
- d_model^2 = 12,288^2 ≈ 150.995 × 10^6
- 8 × d_model^2 ≈ 1.208 × 10^9 FLOPs per layer
- Across 96 layers: 1.208e9 × 96 ≈ 1.16 × 10^11 FLOPs for FFN per forward pass
Total forward pass per sequence: attention + FFN ≈ 4.96e12 + 1.16e11 ≈ 5.07e12 FLOPs
Include backward pass (roughly similar magnitude to forward): ≈ 2 × 5.07e12 ≈ 1.01 × 10^13 FLOPs per forward+backward pass

Step 2: How many 2,048-token sequences to cover 300B tokens?

Number of segments N = 300e9 tokens / 2,048 ≈ 1.465 × 10^8 segments

Step 3: Total training FLOPs

Total FLOPs ≈ (FLOPs per forward+backward) × N
≈ (1.01 × 10^13) × (1.465 × 10^8)
≈ 1.48 × 10^21 FLOPs

Result

Rough estimate: about 1.5 × 10^21 FLOPs to train GPT-3 at the 175B scale, under the stated assumptions.

Notes and caveats

This is a back-of-the-envelope calculation. Real compute could differ by a factor of a few due to:
- Different batch sizes or gradient accumulation, which changes the effective number of forward/backward passes
- Use of gradient checkpointing or optimizer options that alter the forward/backward FLOP balance
- Exact data token count and how sequences are batched
- Precision (fp32 vs. fp16/bfloat16) affecting the count of floating-point operations
- Overheads from data loading, padding, sparsity, or other architectural details
The order-of-magnitude (around 10^21 FLOPs) is the key takeaway, not a precise figure.

If you want, I can run through a variant with a different token budget, sequence length, or depth to show how sensitive the total FLOPs is to those choices.

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2 / 28

02

AI Board Game Logicreasoning

Tests an AI's ability to understand game rules and strategy

Grok 3

Grok 3

Xai · Feb 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025svg

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3 / 28

03

Math Misconception Testreasoning

Tests an AI's understanding of number representation

Grok 3

Grok 3

Xai · Feb 2025text

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025text

No. 9.11 is smaller than 9.9 (since 0.11 < 0.90).

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4 / 28

04

Stochastic Consistency Testanalysis

Tests an AI's randomness and creativity

Grok 3

Grok 3

Xai · Feb 2025text

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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5 / 28

05

SVG Layout Challengeimage generation

Tests an AI's ability to generate vector graphics

Grok 3

Grok 3

Xai · Feb 2025svg

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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6 / 28

06

Xbox Controller SVG Artimage generation

Tests an AI's ability to create detailed SVG illustrations of gaming hardware

Grok 3

Grok 3

Xai · Feb 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025svg

Nothing here. The model returned empty. We stared at it for a while.

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7 / 28

07

Generate a Stand-Up Routineconversation

Tests an AI's humor and creative writing ability

Grok 3

Grok 3

Xai · Feb 2025text

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025text

Nothing here. The model returned empty. We stared at it for a while.

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8 / 28

08

Minimalist Landing Pageweb design

Tests an AI's ability to generate a complete, working landing page

Grok 3

Grok 3

Xai · Feb 2025website

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025website

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Which one handles your task better?

Paste your actual prompt. Same models, your work. 30 seconds.

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9 / 28

09

Mario Level UI Recreationweb design

Recreate an interactive, classic Mario level in a single HTML file.

Grok 3

Grok 3

Xai · Feb 2025website

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025website

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10 / 28

10

Linear App Cloneweb design

Tests an AI's ability to replicate an existing UI with Tailwind CSS

Grok 3

Grok 3

Xai · Feb 2025website

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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11 / 28

11

Framer-Style Animationweb design

Tests an AI's ability to create smooth web animations

Grok 3

Grok 3

Xai · Feb 2025website

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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12 / 28

12

Interactive Catan Boardweb design

Tests an AI's ability to create interactive web elements

Grok 3

Grok 3

Xai · Feb 2025website

Nothing here. The model returned empty. We stared at it for a while.

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GPT-5 Nano

GPT-5 Nano

Openai · Aug 2025website

Nothing here. The model returned empty. We stared at it for a while.

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