Which model leads Hard-negative protein binding prediction?

Q: Which model leads Hard-negative protein binding prediction?

GPT-5.6 Sol tops the board at 7.6

Hard-negative protein binding prediction Leaderboard — Model Scores

Pro Mode — raw scores, one benchmark under the lensofficial card harness

The field · 5 measured

07.6

5 models measured, most on the official card harness. GPT-5.6 Sol tops the board at 7.6.

5 measured·1 new this week·Lifecycle Updated Oct 8, 2026Score basis

#◆Vendor$/M in$/M out

Leader — ignites whiteField — fill cools with scoreIndependently verified only0 of 5Bars show 0–7.6 · ◆ solid = first-party or better · outlined = arm's-length

01GPT-5.6 SolOpenAI7.6$4.0/M$20.0/M$1.579

02GPT-5.4OpenAI3.5$2.5/M$15.0/M$2.500

03GPT RosalindNEWOpenAI3.13———

04GPT-5.5OpenAI1.5$5.0/M$30.0/M$11.667

05GPT-5.5 ProOpenAI0$30.0/M$180.0/M—

◆ solid = independently verified · aggregator attested · vendor attributed — outlined = cross-reference · source-attributed. Dimmed ◆ = confidence inferred. “+N alts” = alternate disclosures in the drawer with why-demoted. Prices per million tokens; $/point = input price ÷ score. Every row opens its model dossier.

Verification: 5 models scored · 0 independently verified · 5 vendor-reported · 0 with source disagreement. How these tiers are assigned