RankingEffort benchmarks

GPT-5.4 Nano effort benchmarks

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

GPT-5.4 Nano

80 measured results · 5 reported effort labels · 55 benchmark/harness combinations. Model evidence and sources →

Capability score evidence

GPT-5.4 Nano · XHigh: 16.5 overall comparison score. Meets the overall evidence requirements.

Which sources carry the weight?
  • Artificial Analysis · 40.6% direct comparison weight · independent
  • ARC Prize · 33.6% direct comparison weight · independent
  • LiveBench · 25.8% 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 Analysis16.0-0.5
ARC Prize21.3+4.8
Datacurve14.4-2.1
LiveCodeBench16.5-0.0
Scale17.7+1.3
Terminal-Bench16.6+0.1
Cognition17.6+1.1
LiveBench14.5-2.0
SWE-rebench16.5+0.0
Epoch AI16.7+0.2
Vals AI16.1-0.4
Provider reports · Anthropic16.5+0.0
Provider reports · Moonshot AI16.5-0.0
Provider reports · Meta16.4-0.0
Provider reports · Mistral16.5+0.0
All provider reports16.4-0.0
Every benchmark family
Removed evidenceRecomputed scoreChange
arc-agi21.1+4.6
deepswe14.4-2.1
mmmu-pro17.6+1.1
frontiercode17.6+1.1
livebench-language17.2+0.8
epoch-game-puzzles15.9-0.6
livebench-coding17.0+0.5
ifbench16.0-0.5
simpleqa16.9+0.4
hle16.9+0.4
livebench-data16.1-0.4
mmlu-pro16.8+0.4
multi-swe-bench16.2-0.3
livebench-math16.2-0.3
itbench16.8+0.3
arc-agi-316.2-0.3
critpt16.3-0.2
apex-agents16.3-0.2
livebench-instructions16.3-0.2
harvey16.6+0.2
tau-bench16.3-0.2
frontiermath16.6+0.1
swe-atlas-qna16.4-0.1
gdp-pdf16.6+0.1
aa-lcr16.4-0.1
vibe-code16.4-0.1
vals-finance-agent16.4-0.1
briefcase16.6+0.1
automationbench16.6+0.1
livebench-reasoning16.4-0.1
gpqa16.4-0.1
swe-atlas-test-writing16.4-0.1
enterprise-ops16.5+0.0
omniscience16.4-0.0
aime16.4-0.0
terminal-bench16.5+0.0
vals-legal-research16.4-0.0
enigma-eval16.5+0.0
swe-rebench16.5+0.0
scicode16.5-0.0
vals-code-migration16.5-0.0
vals-excel-modeling16.5-0.0
swe-atlas-refactoring16.5-0.0
math50016.5+0.0
analyst-agent16.5+0.0
gmmlu16.5+0.0
livecodebench16.5-0.0
gdpval16.5+0.0
swe-bench-pro16.5+0.0
What evidence is missing from the fit?

Across all collected settings for this model: 81 observations, 77 contributing, 0 matched without graph weight and 4 excluded. Counts do not establish rank eligibility.

  • 3 · Benchmark family or source protocol has not been reviewed
  • 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-5.4 Nano · 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-5.4 Nano · XHigh · Agentic: 29.3 · SupportedGPT-5.4 Nano · XHigh · Hard reasoning: 24.2 · SupportedGPT-5.4 Nano · XHigh · Coding: 22.7 · SupportedGPT-5.4 Nano · XHigh · Knowledge: 23.5 · SupportedGPT-5.4 Nano · XHigh · Multimodal: 8.0 · PreliminaryGPT-5.4 Nano · XHigh · Long context: 24.3 · Preliminary

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

  • Agentic

    A29.3Supported
  • Hard reasoning

    A24.2Supported
  • Coding

    A22.7Supported
  • Human pref

    Unknown
  • Knowledge

    A23.5Supported
  • Multimodal

    A8.0Preliminary
  • Long context

    A24.3Preliminary

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.

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 / sourceLowMediumHighXHighNon-reasoning
AA-Briefcase EloArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

AA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
669.58 Elo
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
APEX-Agents-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
24.93%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
AA-LCR v1.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
67.33%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
76.67%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

29.67%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

AutomationBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of task objectives completed with no guardrail violations · Higher is better · Benchmark developed by Zapier · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
5.96%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
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
5.14%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
9.25%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

0%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

EnterpriseOps-Gym-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Overall task success rate across all eight enterprise domains (oracle tool mode) · Benchmark developed by ServiceNow Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
31.48%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
GDP.pdf: All-passArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of attempts where every atomic criterion passed · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
7.8%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
GDPval-AA v2 LeaderboardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Elo rating for performance on real-world work tasks · Anchored to a human baseline of 1,000 · Higher is better · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
1,035.42 Elo
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

680.74 Elo
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

GPQA DiamondArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
76.06%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
81.72%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

55.76%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

Harvey LAB-AA: Criterion Pass RateArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of atomic pass/fail rubric criteria the deliverables satisfy, graded by a single LLM judge · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
52.24%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
Humanity's Last ExamArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
15.94%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
28.27%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

4.08%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

IFBenchArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
64.42%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
75.92%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

32.72%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

ITBench-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Combined public and private Site Reliability Engineering (SRE) tasks · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
24.39%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

12.91%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

MLCR-AAArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Share of tasks judged accurate, complete, and concise · Expert + compound (hard) sets · Benchmark developed by Wisedocs · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
5%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
MMMU-ProArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
59.54%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
65.38%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

43.76%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

AA-Omniscience IndexArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

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

Not reported
-18.03
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
-29.47
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

-37.48
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

AA-Omniscience AccuracyArtificial Analysis · 6000 questions; 1 attempt; correct-answer share; GPT-5.6 Luna medium grader
Benchmark details

AA-Omniscience Accuracy (higher is better) measures the proportion of correctly answered questions out of all questions, regardless of whether the model chooses to answer · Evaluation results measured independently by Artificial Analysis

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

Not reported
21.9%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
25.67%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

14.88%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

SciCodeArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
47.22%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
𝜏²-Bench TelecomArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
52.63%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
76.02%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

34.8%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

𝜏³-BankingArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
27.42%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
Terminal-Bench HardArtificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reported
33.33%
Reported settings

GPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium

Not reported
42.42%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

24.24%
Reported settings

GPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning

Terminal-Bench v2.1Artificial Analysis · Artificial Analysis published evaluation; see source for benchmark-specific settings
Benchmark details

Benchmark developed by the Laude Institute and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
60.67%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
Terminal-Bench v4.0Artificial Analysis · mini-SWE-agent v2.4.6; 66 tasks; pass@1 averaged over 3 repeats; 500 steps; task timeout up to 8 hours
Benchmark details

Benchmark developed by the Laude Institute, Stanford, and open-source contributors · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis

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

Not reportedNot reportedNot reported
0.51%
Reported settings

GPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano

Not reported
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.

1.53%
Reported settings

GPT-5.4 Nano (Low); Source model ID: gpt-5-4-nano-low; 120 tasks

1.94%
Reported settings

GPT-5.4 Nano (Medium); Source model ID: gpt-5-4-nano-medium; 120 tasks

3.61%
Reported settings

GPT-5.4 Nano (High); Source model ID: gpt-5-4-nano-high; 120 tasks

5.69%
Reported settings

GPT-5.4 Nano (XHigh); Source model ID: gpt-5-4-nano-xhigh; 120 tasks

Not reported
LiveBench · AMPS Hard · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
98%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · code completion · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
67.39%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-code_completion; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · code generation · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
74.29%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-code_generation; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · connections · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
94.39%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-connections; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · consecutive events · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
54.3%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-consecutive_events; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · integrals with game · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
82.83%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · javascript · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
63.64%
Reported settings

LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-javascript; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · logic with navigation · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
64%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-logic_with_navigation; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · math comp · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
95.1%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-math_comp; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · olympiad · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
87.98%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-olympiad; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · paraphrase · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
66.65%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-paraphrase; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · plot unscrambling · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
39.13%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · python · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
50%
Reported settings

LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-python; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · simplify · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
62.75%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-simplify; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · spatial · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
82%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-spatial; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · story generation · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
67.65%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-story_generation; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · summarize · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
71.77%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-summarize; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · tablejoin · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
50.59%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-tablejoin; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · tablereformat · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
98.04%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-tablereformat; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · theory of mind · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
80.77%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · typescript · 2026-06-25LiveBench · LiveBench Mini-SWE-Agent, 250-step limit
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
26.67%
Reported settings

LiveBench Mini-SWE-Agent, 250-step limit; livebench-2026-06-25-typescript; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · typos · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
54%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-typos; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
LiveBench · zebra puzzle · 2026-06-25LiveBench · LiveBench official task evaluation
Benchmark details

LiveBench 2026-06-25 task snapshot. Task scores stay separate and related tasks share their reviewed family budget. Explicit checkpoint and effort labels only.

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

Not reportedNot reportedNot reported
97.62%
Reported settings

LiveBench official task evaluation; livebench-2026-06-25-zebra_puzzle; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano

Not reported
Vals AI · Finance Agent v2Vals AI · Vals FAB v2 shared six-tool harness; two-hour task limit
Benchmark details

Overall weighted rubric accuracy, averaged over three runs on 450 tasks. Dealbreaker failures and timeouts score zero. Related categories and all-pass scores are not additional votes. Three-model judge panel; private test set.

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

Not reportedNot reported
38.22%
Reported settings

{"checkpoint":"gpt-5.4-nano-2026-03-17","evaluatorModel":"openai/gpt-5.4-nano-2026-03-17","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}

Not reportedNot reported
Vals AI · Code Migration v1Vals AI · Vals Code Migration shared agent harness
Benchmark details

Hidden behavior-test pass rate, equally weighted across 40 repositories (30 CLI and 10 COBOL-to-Java). Anti-cheat failures score zero. Code-quality ratings and language splits are not additional votes.

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

Not reportedNot reported
14.47%
Reported settings

{"checkpoint":"gpt-5.4-nano-2026-03-17","evaluatorModel":"openai/gpt-5.4-nano-2026-03-17","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}

Not reportedNot reported
Vals AI · Legal Research Bench v1Vals AI · Vals Legal Research shared five-tool harness; three-hour task limit
Benchmark details

All-pass accuracy on 208 private legal research tasks. Every expert rubric check must pass; GPT-5.4 judges responses. Partial-credit scores and practice-area splits are not additional votes.

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

Not reportedNot reportedNot reportedNot reported
Vals AI · Excel Modeling Benchmark v1Vals AI · Vals EMB shared workbook agent harness; 3.5-hour task limit
Benchmark details

Mean of seven equally weighted task categories. Template submissions use recalculated Excel cell accuracy; scratch submissions use rubric checks judged by GPT-5.4 Mini XHigh. Partial credit does not mean task completion.

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

Not reportedNot reported
44.75%
Reported settings

{"checkpoint":"gpt-5.4-nano-2026-03-17","evaluatorModel":"openai/gpt-5.4-nano-2026-03-17","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}

Not reportedNot reported
Vals AI · MMLU-Pro v1Vals AI · Vals MMLU-Pro five-shot chain-of-thought; regex answer grading
Benchmark details

Mean accuracy across 14 subjects under Vals five-shot prompting. Subject splits share one family and are not additional votes. Vals labels this benchmark archived; it is historical corroboration, not ongoing frontier evaluation.

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

Not reportedNot reported
77.17%
Reported settings

{"checkpoint":"gpt-5.4-nano-2026-03-17","evaluatorModel":"openai/gpt-5.4-nano-2026-03-17","sourceUpdatedOn":"2026-09-01","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}

Not reportedNot reported
Vals AI · Terminal-Bench 2.1Vals AI · Vals Terminus 2 harness; pass@1 on 89 tasks
Benchmark details

Overall task pass rate under the shared Terminus 2 configuration. All task tests must pass. Difficulty splits share one family. Fable 5 and Opus 5 mixed-checkpoint fallback runs are excluded.

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

Not reportedNot reported
41.57%
Reported settings

{"checkpoint":"gpt-5.4-nano-2026-03-17","evaluatorModel":"openai/gpt-5.4-nano-2026-03-17","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":null}

Not reportedNot reported
Vals AI · Vibe Code Bench v1.1Vals AI · Vals modified OpenHands harness; five hours or 1,000 turns per app
Benchmark details

Mean app test pass rate on the canonical v1.1 test set. Browser Use executes workflow tests; each test requires at least 90% of its substeps. Automated judging can introduce error. Alternate agents are excluded.

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

Not reportedNot reported
26.1%
Reported settings

{"checkpoint":"gpt-5.4-nano-2026-03-17","evaluatorModel":"openai/gpt-5.4-nano-2026-03-17","sourceUpdatedOn":"2026-09-10","reasoning_effort":"high","compute_effort":null,"reasoning":null,"temperature":null,"top_p":null,"max_output_tokens":128000,"verbosity":null,"provider":"OpenAI","harness":"OpenHands"}

Not reportedNot reported
Vals AI · Harvey Legal Agent Benchmark v1Vals AI · Vals Harvey held-out legal file-work protocol; internet disabled
Benchmark details

Mean task resolution across two judges (GPT-5.5 Medium and Sonnet 4.6), requiring every criterion to pass. Criteria pass rates and practice-area splits do not add votes. Shared Harvey family; Fable 5 fallback run excluded.

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

Not reportedNot reportedNot reportedNot reported
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