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 evidence | Recomputed score | Change |
|---|---|---|
| Artificial Analysis | 16.0 | -0.5 |
| ARC Prize | 21.3 | +4.8 |
| Datacurve | 14.4 | -2.1 |
| LiveCodeBench | 16.5 | -0.0 |
| Scale | 17.7 | +1.3 |
| Terminal-Bench | 16.6 | +0.1 |
| Cognition | 17.6 | +1.1 |
| LiveBench | 14.5 | -2.0 |
| SWE-rebench | 16.5 | +0.0 |
| Epoch AI | 16.7 | +0.2 |
| Vals AI | 16.1 | -0.4 |
| Provider reports · Anthropic | 16.5 | +0.0 |
| Provider reports · Moonshot AI | 16.5 | -0.0 |
| Provider reports · Meta | 16.4 | -0.0 |
| Provider reports · Mistral | 16.5 | +0.0 |
| All provider reports | 16.4 | -0.0 |
Every benchmark family
| Removed evidence | Recomputed score | Change |
|---|---|---|
| arc-agi | 21.1 | +4.6 |
| deepswe | 14.4 | -2.1 |
| mmmu-pro | 17.6 | +1.1 |
| frontiercode | 17.6 | +1.1 |
| livebench-language | 17.2 | +0.8 |
| epoch-game-puzzles | 15.9 | -0.6 |
| livebench-coding | 17.0 | +0.5 |
| ifbench | 16.0 | -0.5 |
| simpleqa | 16.9 | +0.4 |
| hle | 16.9 | +0.4 |
| livebench-data | 16.1 | -0.4 |
| mmlu-pro | 16.8 | +0.4 |
| multi-swe-bench | 16.2 | -0.3 |
| livebench-math | 16.2 | -0.3 |
| itbench | 16.8 | +0.3 |
| arc-agi-3 | 16.2 | -0.3 |
| critpt | 16.3 | -0.2 |
| apex-agents | 16.3 | -0.2 |
| livebench-instructions | 16.3 | -0.2 |
| harvey | 16.6 | +0.2 |
| tau-bench | 16.3 | -0.2 |
| frontiermath | 16.6 | +0.1 |
| swe-atlas-qna | 16.4 | -0.1 |
| gdp-pdf | 16.6 | +0.1 |
| aa-lcr | 16.4 | -0.1 |
| vibe-code | 16.4 | -0.1 |
| vals-finance-agent | 16.4 | -0.1 |
| briefcase | 16.6 | +0.1 |
| automationbench | 16.6 | +0.1 |
| livebench-reasoning | 16.4 | -0.1 |
| gpqa | 16.4 | -0.1 |
| swe-atlas-test-writing | 16.4 | -0.1 |
| enterprise-ops | 16.5 | +0.0 |
| omniscience | 16.4 | -0.0 |
| aime | 16.4 | -0.0 |
| terminal-bench | 16.5 | +0.0 |
| vals-legal-research | 16.4 | -0.0 |
| enigma-eval | 16.5 | +0.0 |
| swe-rebench | 16.5 | +0.0 |
| scicode | 16.5 | -0.0 |
| vals-code-migration | 16.5 | -0.0 |
| vals-excel-modeling | 16.5 | -0.0 |
| swe-atlas-refactoring | 16.5 | -0.0 |
| math500 | 16.5 | +0.0 |
| analyst-agent | 16.5 | +0.0 |
| gmmlu | 16.5 | +0.0 |
| livecodebench | 16.5 | -0.0 |
| gdpval | 16.5 | +0.0 |
| swe-bench-pro | 16.5 | +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
Capability profile
One configuration, seven capabilities
- AGPT-5.4 Nano · XHigh4 of 7 capabilities supported
Gaps are unknown, not zero. Hollow points are preliminary.
Agentic
A29.3SupportedHard reasoning
A24.2SupportedCoding
A22.7SupportedHuman pref
UnknownKnowledge
A23.5SupportedMultimodal
A8.0PreliminaryLong 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.
Compare this configuration →Explore the model evidence profile →
| Benchmark / source | Low | Medium | High | XHigh | Non-reasoning |
|---|---|---|---|---|---|
AA-Briefcase EloBenchmark detailsAA-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 reported | Not reported | Not reported | 669.58 Elo Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
APEX-Agents-AABenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 24.93% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
AA-LCR v1.1Benchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 67.33% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 76.67% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 29.67% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
AutomationBench-AABenchmark detailsShare 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 reported | Not reported | Not reported | 5.96% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
CritPtBenchmark detailsBenchmark 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 settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 9.25% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 0% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
EnterpriseOps-Gym-AABenchmark detailsOverall 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 reported | Not reported | Not reported | 31.48% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
GDP.pdf: All-passBenchmark detailsShare 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 reported | Not reported | Not reported | 7.8% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
GDPval-AA v2 LeaderboardBenchmark detailsElo 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 reported | Not reported | Not reported | 1,035.42 Elo Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 680.74 Elo Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
GPQA DiamondBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 76.06% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 81.72% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 55.76% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
Harvey LAB-AA: Criterion Pass RateBenchmark detailsShare 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 reported | Not reported | Not reported | 52.24% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
Humanity's Last ExamBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 15.94% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 28.27% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 4.08% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
IFBenchBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 64.42% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 75.92% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 32.72% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
ITBench-AABenchmark detailsCombined 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 reported | Not reported | Not reported | 24.39% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 12.91% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
MLCR-AABenchmark detailsShare 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 reported | Not reported | Not reported | 5% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
MMMU-ProBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 59.54% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 65.38% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 43.76% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
AA-Omniscience IndexBenchmark detailsAA-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 settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | -29.47 Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | -37.48 Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
AA-Omniscience AccuracyBenchmark detailsAA-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 settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 25.67% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 14.88% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
SciCodeBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 47.22% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
𝜏²-Bench TelecomBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 52.63% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 76.02% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 34.8% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
𝜏³-BankingBenchmark detailsBenchmark developed by Sierra Research · Independently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | Not reported | Not reported | 27.42% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
Terminal-Bench HardBenchmark detailsIndependently benchmarked by Artificial Analysis · Evaluation results measured independently by Artificial Analysis Unit: percent. Source collected 2026-09-12. | Not reported | 33.33% Reported settingsGPT-5.4 nano (medium); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-medium | Not reported | 42.42% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | 24.24% Reported settingsGPT-5.4 nano (Non-Reasoning); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano-non-reasoning |
Terminal-Bench v2.1Benchmark detailsBenchmark 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 reported | Not reported | Not reported | 60.67% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
Terminal-Bench v4.0Benchmark detailsBenchmark 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 reported | Not reported | Not reported | 0.51% Reported settingsGPT-5.4 nano (xhigh); Model source: https://artificialanalysis.ai/models/gpt-5-4-nano | Not reported |
ARC-AGI-2Benchmark detailsOriginal public board. Configuration and task coverage may differ; inspect source. Unit: percent. Source collected 2026-09-12. | 1.53% Reported settingsGPT-5.4 Nano (Low); Source model ID: gpt-5-4-nano-low; 120 tasks | 1.94% Reported settingsGPT-5.4 Nano (Medium); Source model ID: gpt-5-4-nano-medium; 120 tasks | 3.61% Reported settingsGPT-5.4 Nano (High); Source model ID: gpt-5-4-nano-high; 120 tasks | 5.69% Reported settingsGPT-5.4 Nano (XHigh); Source model ID: gpt-5-4-nano-xhigh; 120 tasks | Not reported |
LiveBench · AMPS Hard · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 98% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-AMPS_Hard; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · code completion · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 67.39% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-code_completion; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · code generation · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 74.29% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-code_generation; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · connections · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 94.39% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-connections; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · consecutive events · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 54.3% Reported settingsLiveBench 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 · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 82.83% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-integrals_with_game; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · javascript · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 63.64% Reported settingsLiveBench 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 · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 64% Reported settingsLiveBench 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 · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 95.1% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-math_comp; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · olympiad · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 87.98% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-olympiad; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · paraphrase · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 66.65% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-paraphrase; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · plot unscrambling · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 39.13% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-plot_unscrambling; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · python · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 50% Reported settingsLiveBench 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 · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 62.75% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-simplify; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · spatial · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 82% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-spatial; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · story generation · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 67.65% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-story_generation; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · summarize · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 71.77% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-summarize; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · tablejoin · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 50.59% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-tablejoin; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · tablereformat · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 98.04% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-tablereformat; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · theory of mind · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 80.77% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-theory_of_mind; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · typescript · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 26.67% Reported settingsLiveBench 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 · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 54% Reported settingsLiveBench official task evaluation; livebench-2026-06-25-typos; gpt-5.4-nano-xhigh; checkpoint=gpt-5.4-nano | Not reported |
LiveBench · zebra puzzle · 2026-06-25Benchmark detailsLiveBench 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 reported | Not reported | Not reported | 97.62% Reported settingsLiveBench 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 v2Benchmark detailsOverall 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 reported | Not 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 reported | Not reported |
Vals AI · Code Migration v1Benchmark detailsHidden 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 reported | Not 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 reported | Not reported |
Vals AI · Legal Research Bench v1Benchmark detailsAll-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 reported | Not reported | 6.25% 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 reported | Not reported |
Vals AI · Excel Modeling Benchmark v1Benchmark detailsMean 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 reported | Not 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 reported | Not reported |
Vals AI · MMLU-Pro v1Benchmark detailsMean 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 reported | Not 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 reported | Not reported |
Vals AI · Terminal-Bench 2.1Benchmark detailsOverall 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 reported | Not 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 reported | Not reported |
Vals AI · Vibe Code Bench v1.1Benchmark detailsMean 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 reported | Not 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 reported | Not reported |
Vals AI · Harvey Legal Agent Benchmark v1Benchmark detailsMean 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 reported | Not reported | 0% 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 reported | Not 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