ASIWorldBenchmarking Autonomous Agents
in a Persistent Survival Sandbox
1 Lightspeed Studios, Tencent2 HKUST3 USTC4 Hunyuan Team, Tencent
Agent capabilities
Common Claude Code harness · 300-minute main season
6 of 9 agents completed both goals.
Goal attainment, combat cost, and execution strategy at a glance.
| Agent | 01 Goal attainmentMain season | 02 Dungeon performanceThree seasons | 03 Action strategyMain season | ||
|---|---|---|---|---|---|
| Goals P / E | Achievements | Clear rate (%)OuterInnerRoyalKing | Damage taken ↓Shadow King | ||
| claude-opus-5-5 | 7/8 | 81100100100 | 60 | ||
| gpt-6-astra | 8/8 | 83100100100 | 0 | ||
| claude-opus-5 | 8/8 | 8167100100 | 98 | ||
| deepseek-v4-flash | 7/8 | 732256100 | 92 | ||
| glm-5.3 | 6/8 | 6660100100 | 127 | ||
| kimi-k3 | 7/8 | 586710075 | 154 | ||
| gemini-3.8-flash | 3/8 | 616710075 | 82 | ||
| gpt-6-sol | 3/8 | 58258367 | 173 | ||
| gpt-6-luna | 1/8 | 60–– | – | ||
Goal completed · P: production / E: explorationProductionConstructionDungeon combatMaintenanceMovement
Overview
ASIWorld evaluates autonomous agents in a persistent survival sandbox. Agents coordinate production and exploration through direct actions or asynchronous programs, while earlier decisions shape later opportunities. Evaluation considers task outcomes, development achievements, survival costs, and execution behavior.

Benchmark Tasks
Two task families test coordinated execution through dependencies, preparation, and changing world state.

Evaluation
Assessing whether agents achieve their goals, how far they progress, and what attainment costs.

