PomBench

Grok 4.7 coding benchmark

xAI · API model grok-4.7 · Results published 25 Oct 2026 · Benchmark v4

Compare Grok 4.7 vs GPT-6.1 Sol ↗

How Grok 4.7 performed

Grok 4.7 by xAI took the PomBench AI coding benchmark: every model gets the same prompt and writes self-contained browser code for a twelve-second scene: a Pomeranian runs across a backyard, jumps a puddle, enters its doghouse, retrieves a bone and turns toward the viewer. The video above is an independent offline browser recording of the code Grok 4.7 returned, captured at 960 × 540 and 30 fps, with no organizer edits to the code.

In this Grok 4.7 coding test the model produced 10,467 output tokens, including provider-reported reasoning (rank 17 of 46 by output tokens), and the known API cost was $0.0669 (rank 23 of 45, cheapest first). Is Grok 4.7 good at coding? One task cannot answer that on its own, so this LLM coding benchmark lets you watch the result instead of reading a score: check the gait, the puddle jump and reflection, the doorway occlusion and whether the bone stays in the dog's mouth.

Then compare Grok 4.7 vs GPT-6.1 Sol and Claude Opus 5.5 below, or open the AI model comparison to play up to four models on one synchronized timeline.

Grok 4.7 vs GPT-6.1 Sol, Claude Opus 5.5 and Gemini 4 Argon

Grok 4.7 code

Grok 4.7 wrote its own native browser animation code from the same prompt as every other model. One execution repair is available for empty, truncated or unexecutable code; the final response is kept, not a best-of selection.

Read the shared prompt · How the LLM benchmark works

Latest models tested