AI Battle > Rankings > Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)

Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) — Placements in 11 Rankings (2026)

Claude Opus 5 (Adaptive Reasoning, Xhigh Effort), published by Anthropic, appears in 11 of the 129 datasets AI Battle tracks. Its strongest published placement is #4 of 20 in AA-Briefcase Rubric Pass Rate by File Type (Normalized).

Last updated: . Every placement below comes from the named public dataset; AI Battle joins them by slug and changes nothing else.

All placements for Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)

RankingRankValue
AA-Briefcase Rubric Pass Rate by File Type (Normalized)#4 of 200.92
AA-Briefcase Elo#4 of 201625
GDPval-AA v2 Leaderboard#4 of 201708
Humanity's Last Exam: Score#8 of 200.54
Humanity's Last Exam: Output Tokens per Task#11 of 20760
AA-Briefcase Tool Calls Breakdown, Avg per Task#11 of 2049.8
Mean Turns per Task#12 of 2090.9
GDPval-AA v2: Average Turns per Task#13 of 2050.7
Time per Task#18 of 2034.3
Humanity's Last Exam: Time per Task#19 of 204.12
GDPval-AA v2: Output Tokens per Task#19 of 2044454

Price vs intelligence

intelligence index →input price / 1M → $4.00
Each dot is a model, joined by AI Battle from two public datasets — the intelligence index ranking and the published input pricing ranking. Every published value is shown as-is, no averaging. The dashed line is the value frontier: no model above or to the right of it offers a lower input price at its intelligence level.

How to read this profile

Each row is a separate measurement in a separate dataset — the position reflects the metric of that ranking, and a higher number is not "better" for every dataset (times and prices are costs). AI Battle deliberately does not average placements into a single score: datasets differ in coverage, so a total would hide more than it shows.

Raw data

Machine-readable profile: /data/models/claude-opus-5-xhigh.json.

Method

Placements, joins and this page are computed by AI Battle from public datasets — see the methodology for sources, limitations and corrections.