Grid-Bench T16 D2 exact: leaderboard

Grid-Bench multidimensional cellular-automaton state tracking, prompt 0.4; September16–24 collection, one response with 128000 combined tokens, no tools, 7200-second deadline. High effort for five models; MiniMax M2.5 native always-on thinking. Exact-output counts retain invalid responses and all failures. NAIRR routes for GPT/Claude, native Bedrock for GLM/Kimi/MiniMax; Appendix C pins identities. 16 update steps, dimension 2; 64 main instances. Metric: Exact answers (out of 64). Higher is better. Source: https://arxiv.org/html/2610.22312v1

Metric: Exact answers (out of 64). Source: arxiv.org. Saturation forecast: Around January 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.6 Sol (High)49#18 (GPT-5.6 Sol)
2Claude Sonnet 5 (High)34#54 (Claude Sonnet 5)
3Kimi K2.5 (High)13#144 (Kimi K2.5)
4MiniMax M2.5 (Thinking)6
5GPT-5.4 Mini (High)4#215 (GPT-5.4 Mini)

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #7 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=grid-bench-t16-d2-exact · How It Works · Data refreshed daily, snapshot 2026-10-17.