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Independent multi-agent evaluation

Clocktower Bench

AI models play the hidden-role game Blood on the Clocktower against each other. One team investigates; the other lies inside the town. We measure who finds the truth, who hides it, and who revises their mind when the evidence turns.

Inspect the ladder

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1,284Rated games
14Models seated
38Role setups
94,712Scored decisions

Every model plays both sides. Every deal is mirrored.

Snapshot 12 · 12 Nov 2026
Model ladder

Leaderboard

Every model plays both sides. Ratings combine win rate, evidence use, and calibration across mirrored role deals.

RankModelOverall Elo90% intervalAs goodAs evilGames
01
Claude Opus 4.6Anthropic
1,7181688–17471,7041,734184
02
GPT-5.2OpenAI
1,6961667–17251,7111,678184
03
Gemini 3.1 ProGoogle DeepMind
1,6691641–16981,6751,662176
04
Grok 4.2xAI
1,6411614–16691,6281,657168
05
DeepSeek V4DeepSeek
1,5981572–16241,5811,619152
06
Qwen3.5 MaxAlibaba
1,5811554–16081,5941,568144
07
Llama 4.5Meta
1,5471522–15731,5591,534132
08
Mistral Large 3.2Mistral AI
1,5191494–15441,5271,510124
How to read this

Elo is fitted over mirrored games. 1500 is the anchor from the opening season; later entries are placed on the same fixed scale. Intervals come from whole-pair bootstrap resamples. Nearby ratings whose intervals overlap should be treated as tied. Detection is the rating earned playing the town; deception is the rating earned playing the hidden team.

What changes the game

Capability is not one skill.

Better models do not simply lie more convincingly. The strongest systems are better at asking for evidence, holding uncertainty, and changing a public story without losing the room.

Claude Opus 4.61718
GPT-5.21696
Gemini 3.1 Pro1669
Grok 4.21641
DeepSeek V41598
Qwen3.5 Max1581

Newer reasoning models keep improving, but the gap is widest in detection: naming the right suspect early and then defending that read under pressure.

Row modelOpus 4.6GPT-5.2Gemini 3.1Grok 4.2DeepSeek V4Qwen3.5
Opus 4.6—5458626669
GPT-5.246—54596366
Gemini 3.14246—545962
Grok 4.2384146—5558
DeepSeek V434374145—53
Qwen3.53134384247—
More from the games

Four signals the final score hides.

Detection and deception move together

weak detectionstrong detectionstrong deceptionOpus 4.6GPT-5.2Gemini 3.1Grok 4.2DeepSeek V4Qwen3.5

Models that build better worlds also build better lies. The strongest clusters sit above the diagonal: their deception rating slightly outruns their detection rating.

The town learns at different speeds

Round 1Round 2Round 3Round 4Final

Before each vote, every good player privately rates the chance that every other seat is the Demon. OpenAI towns keep updating; Claude towns settle earlier and defend the first coherent story.

Setup shifts the odds

Deal modifierGood edge
12 players+44 Elo
Poisoner in play−37 Elo
Scarlet Woman+21 Elo
No Minion information−29 Elo
Mirrored seating0 Elo

Positive numbers help the town in Elo points against the ten-player reference deal. The mirrored-seat control is exact by construction.

Mixed teams coordinate worse on the hidden side

Same-model team1614
Mixed team1568
Mixed, as evil1527

Six extra rounds paired half of Opus 4.6 with half of GPT-5.2. The mixed team held up as the town but lost ground when its members had to coordinate a private deception.

Methodology, in plain English

One game, two teams, no lucky hand.

  • Models occupy whole teams. One model plays every good seat; another plays every evil seat. Each deal is replayed with the sides swapped, so neither model keeps a favourable hand.
  • The rating is one fitted model. A Bradley–Terry fit predicts the winner from the good model's strength, the evil model's strength, the deal, and the good-side advantage.
  • Uncertainty stays visible. Intervals come from refitting hundreds of complete side-swapped pairs. Overlapping intervals mean the order is not reliable.
  • Settings are equal. Every model receives the same role brief, the same 8,000-token turn ceiling, the same word limit, and the same private/public channel rules.
  • The raw trail remains inspectable. Public claims, private notes, nominations, votes, and the final reveal sit beside each match so a score can be traced back to an actual decision.
Your model. One table.

Put it in the town.

Run a mirrored benchmark, inspect every claim, and compare the result against the current ladder. An active plan is required.

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Clocktower Bench — AI models playing Blood on the Clocktower