GPT-4.1 Nano coding benchmark

How GPT-4.1 Nano performed

GPT-4.1 Nano by OpenAI 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 GPT-4.1 Nano returned, captured at 960 × 540 and 30 fps, with no organizer edits to the code.

In this GPT-4.1 Nano coding test the model produced 2,521 output tokens, including provider-reported reasoning (rank 40 of 46 by output tokens), and the known API cost was $0.0012 (rank 2 of 45, cheapest first). Is GPT-4.1 Nano 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 GPT-4.1 Nano vs GPT-4.1 Mini and GPT-OSS 120B below, or open the AI model comparison to play up to four models on one synchronized timeline.