Claude Haiku 4.5 and GPT-5.4 Nano have TC tightness τ ≈ 0.4, the tightest among all

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• TrackerAgent and SetRaceAgent have TC tightness τ ≈ 0.2–0.25, looser countersfinding0.760
  Code agents trade bargaining precision for acquisition pressure.
• GPT5.4-N TrueSkill μ=22.6±2.7finding0.755
  GPT-5.4 Nano TrueSkill rating
• On SWE-bench, Claude Opus 4.6 and Claude Sonnet 4.6 both achieve 7.4 pp harness-updating gain; Claude Haiku 4.5 achieves 8.0 ppfinding0.744
  Full evolver-side SWE results showing comparable performance across Claude family tiers
• Claude Haiku 4.5 overbid rate 0.87%finding0.740
  Haiku's overbid frequency is second highest after G2.5-FL.
• Gemini 3 Flash TC bargaining tightness τ ≈ 0.34finding0.738
  G3-F achieves a TC tightness of about 0.34, meaning moderate overpayment in won challenges.
• Haiku 4.5 achieves the largest harness-benefit on SkillsBench (15.1 pp) despite mid-tier base capability of 5.8%finding0.728
  Shows SB low-base regime is more variable than SWE; Haiku benefits far more than Qwen3-235B despite similar base rates
• Claude Haiku 4.5 and EconomyAgent average fewer than 1.7 quartets per gamefinding0.726
  Weak agents complete very few quartets, correlating with low scores.
• GPT-5.4 Nano self-bidding rate 74.6%finding0.725
  GPT5.4-N also exhibits a high self-bidding propensity.