Kimi K3.1 Pro coding benchmark
Moonshot AI · API model kimi-k3.1-pro · via OpenRouter · Results published 25 Oct 2026 · Benchmark v4
How Kimi K3.1 Pro performed
Kimi K3.1 Pro by Moonshot AI 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 Kimi K3.1 Pro returned, captured at 960 × 540 and 30 fps, with no organizer edits to the code.
In this Kimi K3.1 Pro coding test the model produced 20,154 output tokens, including provider-reported reasoning (rank 10 of 46 by output tokens), and the known API cost was $0.2058 (rank 35 of 45, cheapest first). Is Kimi K3.1 Pro 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. This run was served through OpenRouter with one fixed upstream provider and fallbacks disabled.
Then compare Kimi K3.1 Pro vs Kimi K3 and Claude Opus 5.5 below, or open the AI model comparison to play up to four models on one synchronized timeline.
Kimi K3.1 Pro vs Kimi K3, Claude Opus 5.5 and Gemini 4 Argon
- Kimi K3.1 Pro vs Kimi K3: 20,154 vs 22,590 output tokens; known API cost $0.2058 vs $0.3452. Watch side by side
- Kimi K3.1 Pro vs Claude Opus 5.5: 20,154 vs 8,093 output tokens; known API cost $0.2058 vs $0.1751. Watch side by side
- Kimi K3.1 Pro vs Gemini 4 Argon: 20,154 vs 51,473 output tokens; known API cost $0.2058 vs $0.5770. Watch side by side
Kimi K3.1 Pro code
Kimi K3.1 Pro 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.