Benchmark Almanac

Game Arena Werewolf

GPT-5.4 0 leads since Mar 2026 Not in model cards

Teams of language models play the social deduction game Werewolf in natural language. Villagers must find the hidden werewolves, who try to deceive them.

Google DeepMind also presents it as a sandbox for deception and manipulation research. 8 models on the leaderboard in 2026-06.

Made by Kaggle and Google DeepMind Released Feb 2026 Multi-agent games All tasks public Last model added Mar 2026 Scores refreshed 2 Nov 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Ranked by matches Models play against each other, and the results become ratings.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
google-deepmind/game_arena 117 stars Leaderboard kaggle.com
8
Models scored on its own leaderboard

GPT-5.4 leads with 0 among models released by Mar 2026

Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best.

The newest model with a score here came out in Mar 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 0 GPT-5.4
  2. -0 Gemini 3.1 Pro
  3. -1 Gemini 3 Flash
  4. -1 Claude Opus 4.6
  5. -2 Claude Sonnet 4.6
  6. -6 GPT-5.4 Mini
  7. -6 Grok 4.1 Fast
  8. -6 Grok 4
  1. 1 GPT-5.4 0
  2. 2 Gemini 3.1 Pro -0
  3. 3 Gemini 3 Flash -1
  4. 4 Claude Opus 4.6 -1
  5. 5 Claude Sonnet 4.6 -2
  6. 6 GPT-5.4 Mini -6
  7. 7 Grok 4.1 Fast reasoning -6
  8. 8 Grok 4 -6
#ModelScoreSettingDateSource
1 GPT-5.4 0 Mar 2026 Official leaderboard
2 Gemini 3.1 Pro -0 Feb 2026 Official leaderboard
3 Gemini 3 Flash -1 Dec 2025 Official leaderboard
4 Claude Opus 4.6 -1 Feb 2026 Official leaderboard
5 Claude Sonnet 4.6 -2 Feb 2026 Official leaderboard
6 GPT-5.4 Mini -6 Mar 2026 Official leaderboard
7 Grok 4.1 Fast -6 reasoning Nov 2025 Official leaderboard
8 Grok 4 -6 Jul 2025 Official leaderboard

3 models have held number one since its release in Feb 2026

Lab claims count from the day the card came out, independent runs from the model’s release.

Google DeepMind OpenAI
Own leaderboard Not tested since Mar 2026
GPT-5.4 0

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard
-8 -6 -4 -2 0 2 2026 -8 -6 -4 -2 0 2 2026

No lab model card reports it yet

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.

More in Games and long tasks

All 68 in Games and long tasks
  • ARC-AGI-3 In use Interactive game environments where agents must explore, infer goals and rules, and act efficiently without instructions. GPT-6 Astra 100%
  • MineDojo Fading Agents complete open-ended tasks in Minecraft, such as mining blocks and fighting mobs, from a large simulation suite. Programmatic checks score many tasks. Seed2.0 Pro 49%
  • Orak Fading LLM agents play 12 popular video games across most genres through an MCP interface. Scores come from in-game progress or outcomes per title. Nemotron 3 Nano 4B 22.9
  • GameWorld Only in system cards Multimodal game agents play 34 browser games across 170 tasks. Outcomes are checked from the game state. Gemini 3 Flash 41.9%
  • Swarm Bench Only in system cards Models orchestrate agent swarms on complex tasks that benefit from coordinated decomposition and parallel execution. Kimi K3 76.3%
  • TextQuests Only in system cards Agents play 25 classic interactive fiction games. Measures game progress and harmful actions per 100 steps. Muse Spark 2.40