BEAKER - Trajectory Planning: leaderboard

Offline multimodal chemical-laboratory execution QA, with 1,000 expert-authored items across eleven tasks. Published task score (0–100). BEAKER v1, single-turn standardized QA; original-resolution images; short/mid videos 8/32 frames, long videos 128 frames in32grids; temperature0.7 when configurable. MCQ accuracy, affordance IoU, exp(-mean discrete Frechet distance/0.40) trajectory score, expert-semantic fill-in correctness, each scaled0–100. Overall uses expert weights0.25/0.15/0.35/0.25; experimentation image/video weights2:5. Source checkpoint/effort ambiguity is retained.

Metric: Published task score (0–100). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 28 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.7 (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)48.9
2GPT-5.5 (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)47.2
3Claude Sonnet 4.6 (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)46.3
4GPT-5.4 (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)46.1
5Gemini 2.5 Pro (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)44.4
6Grok 4.20 (Reasoning) (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)43.3
7MiMo-V2-Omni (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)42.6
8Kimi K2.5 (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)42.5
9Kimi K2.6 (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)41.8
10Qwen 3.6 Plus (Benchmark Sweep Run: source=BEAKER; single-turn; temperature=0.7 when configurable; image=original; video=8/32/128frames; checkpoint and effort as published)41.1

Interactive version: theaggregate.ai/benchmark?slug=beaker-trajectory-planning · How It Works · Data refreshed daily, snapshot 2026-11-06.