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# GPT-5 solved 205 PlanBench tasks across eight domains, level with the classical planner LAMA's 204
- URL: https://aiadoption.org/data/planbench-standard-planning/
- Published: 2026-10-19T15:55:10.000Z
- Updated: 2026-10-21T06:02:51.000Z
- Description: Across eight PlanBench domains, GPT-5 solved 205 planning tasks and the classical planner LAMA 204. DeepSeek R1 solved 157 and Gemini 155. LAMA led or tied in six domains.
- Author: Manu
- Tags: Data, AI Benchmarks, Large Language Models, #chart, #ai-index-2026, #hub-benchmarks

205

PlanBench tasks GPT-5 solved across eight domains with standard descriptions; LAMA 204, DeepSeek R1 157, Gemini 155

GPT-5, tasks solved by domain

Blocksworld21

Childsnack38

Floortile10

Miconic35

Rovers14

Sokoban15

Spanner45

Transport27

## What the chart shows

PlanBench asks models to write a complete plan for a structured problem, such as stacking blocks or moving packages, with up to 45 tasks in each of eight domains. Across all eight, GPT-5 solved 205 tasks and LAMA, a classical planning program, 204\. DeepSeek R1 solved 157 and Gemini 155.

No planner led everywhere. LAMA led or tied in six domains, including all 45 Miconic tasks. GPT-5 solved all 45 Spanner tasks, against LAMA’s 15, and GPT-5 and Gemini both solved 38 Childsnack tasks.

## Key numbers

| Measure                        | Value |
| ------------------------------ | ----- |
| GPT-5, all eight domains       | 205   |
| LAMA, all eight domains        | 204   |
| DeepSeek R1, all eight domains | 157   |
| Gemini, all eight domains      | 155   |
| GPT-5, Spanner                 | 45    |
| LAMA, Miconic                  | 45    |

## How to read it

- Totals are sums across the eight domains, calculated by us from the data.
- LAMA searches systematically for a plan; the language models write plans from the problem description. The source data labels the Google model only as Gemini.
- Source study: Corrêa et al. (2025), arXiv 2511.09378.

**Source:** [Corrêa et al.](https://aiadoption.org/sources/#correa-2025-planning), 2025, via the AI Index Report 2026 (Stanford HAI), figure 2.4.9: *PlanBench: task solved on standard planning*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/planbench-standard-planning.csv?ref=aiadoption.org) · [Cite this chart](#source)