RTSGameBench - Symmetric Team 2v2: leaderboard

RTSGameBench (Kim et al., 2026) full-game team match in Beyond All Reason: the vision-language model fills one slot of a two-player team through the RTSGameAgent harness (FSM group management plus agentic memory, the same VLM for memory and decisions), with an Easy built-in ally, against two Easy built-in opponents on a fixed map. Win rate over 30 games, in percent; higher is better.

Metric: Win Rate (%; 30 runs, allies and enemies Easy built-in AI). Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash50#159
2GPT-5.233#172
3Kimi K2.530#252
4GPT-5 Mini7#349
5Claude Sonnet 4.53#244
6Qwen 3.5 397B A17B0#242
7Qwen 3 VL 235B A22B Instruct0#521
8Mistral Large 30#819
9Qwen 3 VL 235B A22B (Thinking)0#451
10Grok 4.1 Fast0#426

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=rtsgamebench-symmetric-team-2v2 · How It Works · Data refreshed daily, snapshot 2026-11-12.