Gemini 3.8 Flash coding benchmark

How Gemini 3.8 Flash performed

Gemini 3.8 Flash by Google 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 Gemini 3.8 Flash returned, captured at 960 × 540 and 30 fps, with no organizer edits to the code.

In this Gemini 3.8 Flash coding test the model produced 11,345 output tokens, including provider-reported reasoning (rank 15 of 46 by output tokens), and the known API cost was $0.0441 (rank 21 of 45, cheapest first). Is Gemini 3.8 Flash 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 Gemini 3.8 Flash vs Gemini 4 Argon and Gemini 3.5 Flash-Lite below, or open the AI model comparison to play up to four models on one synchronized timeline.