Grok 4.5, GPT-5.5, and Claude Coding Build-Off Comparison
Grok 4.5, GPT-5.5, and Claude Coding Build-Off Comparison
A comprehensive build-off between Grok 4.5, GPT-5.5, Claude Opus 4.8, and Claude Fable 5 reveals that while Claude models lead in reliability for complex stateful tasks, Grok 4.5 dominates in throughput and cost-efficiency.
Coding Performance: Complex App Generation
Models were tested using three identical prompts requiring a single self-contained HTML file with no external libraries or network calls. Each model received one attempt, with a single retry permitted only if the app failed to render entirely.
3D Rubik's Cube (Complex State and Math)
Claude Opus 4.8 and Claude Fable 5 were the most reliable, both producing correctly colored 3D cubes with animated rotations and solve functionality on the first attempt. Grok 4.5 failed its first attempt (rendering a blank screen) but succeeded on its one allowed retry. GPT-5.5 performed the worst, rendering only a single dark face with minimal color.
Particle Gravity Sandbox (Visuals and Physics)
All four models successfully shipped a working sandbox. GPT-5.5 won on aesthetic quality, producing glowing neon attractors and dense, swirling colored trails. Grok 4.5 produced a clean orbital simulation with attractor rings, while Claude Fable 5 used soft glowing orbs and Claude Opus 4.8 created a dense, web-like particle field.
Breakout Game (General Game Logic)
All four models achieved a "dead heat," producing polished, playable brick-breaker games with scoring and lives on the first attempt. Grok 4.5 and GPT-5.5 were noted for having the strongest neon arcade aesthetics.
Performance Metrics: Speed and Cost
Testing conducted via a uniform provider path across three fixed prompts (coding, reasoning, and summarization) showed Grok 4.5 as the most efficient model for high-volume workloads.
| Model | Median Latency | First Token | Throughput | Cost / Reply | Success Rate |
|---|---|---|---|---|---|
| Grok 4.5 | 2.8s | 0.44s | 110 tok/s | 0.002¢ | 100% |
| GPT-5.5 | 2.0s | 1.26s | 53 tok/s | 0.004¢ | 100% |
| Claude Opus 4.8 | 2.6s | 1.16s | 47 tok/s | 0.004¢ | 100% |
| Claude Fable 5 | 6.3s | 3.47s | 0.47 tok/s | 0.009¢ | 100% |
Key Takeaways on Efficiency:
- Grok 4.5 achieved the fastest first-token response (under 0.5s) and the highest throughput (~110 tokens/second), making it roughly twice as fast as its competitors. It was also the cheapest model to run.
- GPT-5.5 was the fastest for short answers.
- Claude Fable 5 was the slowest and most expensive, reflecting its position as a high-intelligence tier model.
Spatial Imagination: SVG Generation
Models were tasked with creating a hand-authored SVG of a horse riding piggyback on an astronaut on the moon.
Claude Fable 5 produced the most creative and humorous result, adding dialogue to the scene. GPT-5.5 followed closely with a gleeful horse. Grok 4.5 produced a clean, readable scene. Claude Opus 4.8 succeeded visually but failed a technical correctness check, shipping a duplicate attribute that tripped strict SVG parsers.
Final Verdict
- Grok 4.5 is the optimal choice for high-volume code generation where latency and cost are primary constraints, offering the best "intelligence per unit of time and cost."
- Claude Opus 4.8 and Fable 5 are the most reliable for complex, stateful building tasks, though they come with higher latency and price points.
- GPT-5.5 excels in visual styling and responsiveness for short-form output.