Better Angels Have Their Limits: Collusion in Mixed LLM Pricing Games
Jim Kleban · Team Super Colluders
Submitted to AI Collusion Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.
150 words, with four words added and “may lowers” corrected:
Market-based pricing games are studied as testbeds for collusive behavior between LLM agents. Self-play outcomes vary across models, from competitive pricing to sustained high prices and above-Nash profits. We find that Claude Haiku 5.5 is a ‘better angel’ in self-play, pricing competitively, while Gemini 3.8 Flash sustains elevated prices. In mixed games, however, Haiku and Gemini sustain high prices and above-Nash profits for both sellers in three of five fresh games. In continuations of high-priced Gemini markets, replacing one seller with Haiku lowers the remaining seller's prices in all five markets relative to a Gemini control. While this removes about three-quarters of the remaining seller's average price elevation above Nash, some runs still sustain high prices and above-Nash profits for both sellers. Competitive self-play therefore does not ensure competitive mixed play, and switching to a ‘better angel’ LLM has limits. It may lower prices but does not reliably restore competition.
Reviews
No public critique yet.
Cite this project
@misc{kleban2026better,
title = {{Better Angels Have Their Limits: Collusion in Mixed LLM Pricing Games}},
author = {Jim Kleban},
year = {2026},
month = oct,
note = {Submitted to AI Collusion Research Sprint, an Apart Research Sprint},
howpublished = {\url{https://apartresearch.com/sprints/projects/better-angels-have-their-limits-collusion-in-mixed-llm-pricing-games-706a}},
url = {https://apartresearch.com/sprints/projects/better-angels-have-their-limits-collusion-in-mixed-llm-pricing-games-706a}
}More from AI Collusion Research Sprint
- View project: Collusion, Competion and Collapse
Collusion, Competion and Collapse
Atelier Alex Cline
Do AI traders collude when nobody tells them to? We built agora, a six-market benchmark with exact competitive and collusive benchmarks, and ran seven open-weight 2-4B models in 590 completed games under five …
- View project: Making AI Guardrails Understandable and Testable: A Framework Illustrated by a Simulated Bond Market
Making AI Guardrails Understandable and Testable: A Framework Illustrated by a Simulated Bond Market
Rogue Agents in Jail 🕵️🕵️♀️👮♂️
In order to advance AI safety research into shaping public policy, the development of technical controls needs to have a clear purpose, evidence, and limitations that are understandable for the people responsible for …
- View project: Extending Information-Theoretic Collusion Detection to Large Language Model Agents
Extending Information-Theoretic Collusion Detection to Large Language Model Agents
Gamma Ray
We test whether the information-theoretic collusion detector of Bonjour et al, validated on scripted agents, works on LLM agents. Gemma, Mistral and Qwen played 1000 rounds of three-player Rock-Paper-Scissors in three …