UnifyBench

RankingEffort benchmarks

GPT-5.5 Pro effort benchmarks

Compare measured Low, Medium, High and other settings. Every number keeps its source.

GPT-5.5 Pro

5 measured results · 2 reported effort labels · 4 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

GPT-5.5 Pro · XHigh: 65.5 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?
  • ARC Prize · 59.7% direct comparison weight · independent
  • Artificial Analysis · 20.9% direct comparison weight · independent
  • Epoch AI · 19.3% direct comparison weight · independent

These shares describe the comparisons entering the fit, not fractions of the final score.

How sensitive is this score?

Remove one evaluator or family and refit the graph against the same overall panel. Values use the matching dataset audited 2026-09-12. These are sensitivity checks, not confidence intervals; ranking eligibility may also change.

Removed evidenceRecomputed scoreChange
Artificial Analysis66.1+0.6
ARC Prize65.5+0.0
Datacurve63.2-2.3
LiveCodeBench65.5+0.0
Scale66.4+0.9
Terminal-Bench65.5-0.0
Cognition66.6+1.1
LiveBench65.9+0.4
SWE-rebench65.3-0.2
Epoch AI64.6-0.9
Vals AI65.2-0.3
Provider reports · Anthropic65.5-0.0
Provider reports · Moonshot AI65.4-0.1
Provider reports · Meta65.5-0.0
Provider reports · Mistral65.5+0.0
All provider reports65.3-0.2
Every benchmark family
Removed evidenceRecomputed scoreChange
deepswe63.2-2.3
critpt67.0+1.5
frontiercode66.6+1.1
simpleqa66.5+1.0
frontiermath64.7-0.8
arc-agi-364.8-0.7
mmmu-pro66.2+0.6
ifbench65.1-0.4
tau-bench65.2-0.3
aime65.7+0.2
epoch-game-puzzles65.3-0.2
hle65.7+0.2
omniscience65.3-0.2
mmlu-pro65.7+0.2
multi-swe-bench65.3-0.2
livebench-instructions65.7+0.2
aa-lcr65.3-0.2
swe-atlas-qna65.3-0.2
scicode65.7+0.2
swe-rebench65.3-0.2
gdp-pdf65.7+0.1
harvey65.4-0.1
swe-atlas-test-writing65.4-0.1
livebench-language65.6+0.1
livebench-coding65.4-0.1
vibe-code65.4-0.1
arc-agi65.4-0.1
terminal-bench65.4-0.1
livecodebench65.4-0.1
livebench-reasoning65.4-0.1
vals-legal-research65.4-0.1
swe-atlas-refactoring65.4-0.1
apex-agents65.6+0.1
livebench-data65.6+0.1
enigma-eval65.5-0.1
math50065.5-0.1
gpqa65.6+0.0
vals-finance-agent65.5-0.0
gmmlu65.5-0.0
vals-excel-modeling65.5-0.0
vals-code-migration65.5-0.0
analyst-agent65.5+0.0
itbench65.5-0.0
automationbench65.5-0.0
livebench-math65.5+0.0
enterprise-ops65.5+0.0
briefcase65.5+0.0
gdpval65.5+0.0
swe-bench-pro65.5+0.0
What evidence is missing from the fit?

Across all collected settings for this model: 6 observations, 5 contributing, 0 matched without graph weight and 1 excluded. Counts do not establish rank eligibility.

  • 1 · No reviewed effort for this catalog observation; any separately collected effort measurement is counted separately
Inspect every observation and exclusion →

Capability profile

One configuration, seven capabilities

Comparison score · 0–100
GPT-5.5 Pro · XHigh capability radarComparison scores from 0 to 100. Unknown capabilities have no point; lines stop at gaps. Hollow points are preliminary. Exact values and support labels follow the chart.AgenticHard reasoningCodingHuman prefKnowledgeMultimodalLong context50100GPT-5.5 Pro · XHigh · Hard reasoning: 69.0 · Supported

Gaps are unknown, not zero. Hollow points are preliminary.

  • Agentic

    Unknown

  • Hard reasoning

    A69.0Supported

  • Coding

    Unknown

  • Human pref

    Unknown

  • Knowledge

    Unknown

  • Multimodal

    Unknown

  • Long 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.

Compare this configuration →Explore the model evidence profile →

These are published benchmark scores. Supported effort estimates also appear on the Capability leaderboard. Results from different harnesses occupy different rows. Missing cells stay unknown; no scores are copied between effort levels.

Benchmark / sourceHighXHigh
CritPtArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by Argonne and UIUC, with contributions from 60+ researchers globally · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

Unit: percent. Source collected 2026-09-12.

Not reported
30.57%
Reported settings

GPT-5.5 Pro (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-5-pro

ARC-AGI-2ARC Prize · v2 Semi-Private
Benchmark details

Original public board. Configuration and task coverage may differ; inspect source.

Unit: percent. Source collected 2026-09-12.

84.58%
Reported settings

GPT-5.5 Pro (High); Source model ID: gpt-5-5-pro-2026-04-23-high; 120 tasks

84.16%
Reported settings

GPT-5.5 Pro (XHigh); Source model ID: gpt-5-5-pro-2026-04-23-xhigh; 120 tasks

Epoch · FrontierMath Tier 4 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code
Benchmark details

Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation.

Unit: percent. Source collected 2026-09-12.

Not reported
78.05%
Reported settings

Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-5.5-pro_xhigh; run=SFKXCPUu73mwxMoUotiZM2; mean accuracy; https://epoch.ai/data/benchmarks.csv

Epoch · FrontierMath Tiers 1–3 · v2.0.0Epoch AI · Epoch AI Inspect; task 2.0.0; scorer verification_code
Benchmark details

Epoch AI internal evaluation. Mean accuracy under the published setting; exact task version and scorer stay separate. Related tasks share a family budget. Data by Epoch AI, CC BY. FrontierMath was developed with OpenAI funding and unequal access to part of the question set; this result is from Epoch's evaluation.

Unit: percent. Source collected 2026-09-12.

Not reported
87.72%
Reported settings

Epoch AI Inspect; task 2.0.0; scorer verification_code; model=gpt-5.5-pro_xhigh; run=LSKDetgzyVojru45w7RJhf; mean accuracy; https://epoch.ai/data/benchmarks.csv

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 · 7,424 results across 240 models · Collected 2026-09-12