RankingEffort benchmarks
o3-pro
5 measured results · 5 effort settings · 3 benchmark/harness combinations
Change model
Capability profile
One configuration, seven capabilities
- Ao3-pro · Reasoning0 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
UnknownHard reasoning
A21.6PreliminaryCoding
UnknownHuman pref
UnknownKnowledge
UnknownMultimodal
UnknownLong context
Unknown
Each profile belongs to the named configuration. Capability scores use a shared panel for all axes, distinct from the overall ranking panel; they are not accuracy percentages or direct head-to-head wins.
Capability score evidence
o3-pro · Reasoning: 13.1 overall comparison score. Needs 3 benchmark families, 2 independently measured families
Which sources carry the weight?
- Artificial Analysis · 100.0% direct comparison weight · independent of the model provider
Which benchmark families carry the weight?
- GPQA · 100.0% direct comparison weight
These shares describe direct comparison weight, not fractions of the final score or confidence. Source balancing does not give every family equal weight or remove correlations between overlapping sources.
What evidence is missing from the fit?
Across all collected settings for this model: 7 observations, 4 contributing, 0 matched without graph weight and 3 excluded. Counts do not establish rank eligibility.
- 1 · Effort is not identified
- 1 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
- 1 · Supporting evidence outside the reviewed capability core
Benchmark results
| Benchmark / source | Low | Medium | High | Reasoning | Unspecified |
|---|---|---|---|---|---|
GPQA DiamondBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-10-18. | Not reported | Not reported | Not reported | 84.55% Reported settingso3-pro; Reported effort: reasoning; Model source: https://artificialanalysis.ai/models/o3-pro; Mode from evaluator isReasoning metadata; effort budget not specified | Not reported |
ARC-AGI-2Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-10-18. | 2.05% Reported settingso3-Pro (Low); Source model ID: o3-pro-2025-06-10-low; 120 tasks | 1.94% Reported settingso3-Pro (Medium); Source model ID: o3-pro-2025-06-10-medium; 120 tasks | 4.86% Reported settingso3-Pro (High); Source model ID: o3-pro-2025-06-10-high; 120 tasks | Not reported | Not reported |
ThinkingBox-BenchBenchmark detailsTask-weighted pass@1 on 507 stateful business workflows, 20 trials each. The stored score is the published overall from the 3 October 2026 blog. Display only. Excluded from weighted Overall. Unit: percent. Source collected 2026-10-18. | Not reported | Not reported | Not reported | Not reported | 19.31% Reported settingso3-pro; ThinkingBox sandbox; shared prompts, tools, simulated user, and executable terminal-state checks; pass@1; 20 trials on each of 507 tasks; published task-weighted overall 19.31. Retail 37.70 (98); Auto insurance 2.95 (100); Travel 17.31 (104); Neobank 24.28 (104); Consulting 14.60 (101). Blog post 2026-10-03. The post does not name a reasoning-effort dial. The August 2026 paper excluded 636 o3-pro system/harness-error trials and published 20.60 overall. This October row is the blog figure and does not restate that exclusion. Display only. Excluded from weighted Overall. |
What these comparisons mean
Each source reports its own effort labels. Matching labels do not establish equal compute budgets or identical fallback behavior. Open Reported settings to inspect the exact model name, agent and task coverage. Multiple results at one level remain visible rather than selecting the best. Source-reported None or Non-reasoning labels are not treated as evidence that an API supports those settings.
These measurements use their own dated source collection. The leaderboard fits identified configurations jointly; it contains no pooled model ratings. Explicit thinking budgets are separate configurations. Read the methodology.
Download all effort benchmark results · 8,916 results across 259 models · Collected 2026-10-18