Rankings / OpenAI
GPT 5.4 Nano (2026-03-17)
proprietaryreleased 2026-03-17
BenchAtlas Index
as of 2026-07-14
high effort
rank #199
6 families · 3 categories · medium
xhigh effort
rank #206
13 families · 5 categories · high
medium effort
rank #235
8 families · 5 categories · high
Benchmark evidence
110 results
agentic coding
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 46.8 % | independent | LiveBench |
| τ²-Bench | xhigh effort | 76.0 % | independent | Artificial Analysis |
| τ²-Bench | medium effort | 52.6 % | independent | Artificial Analysis |
| τ²-Bench | no reasoning | 34.8 % | independent | Artificial Analysis |
| τ²-Bench subset=banking | xhigh effort | 21.0 % | independent | Artificial Analysis |
coding
| Release 2026-06-25 tasks_counted=2 · livebench_version=2026-06-25 | xhigh effort | 70.8 % | independent | LiveBench |
| SciCode | xhigh effort | 46.9 % | independent | Artificial Analysis |
| SciCode | medium effort | 38.4 % | independent | Artificial Analysis |
| SciCode | no reasoning | 35.2 % | independent | Artificial Analysis |
data analysis
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 67.6 % | independent | LiveBench |
external indices
| AA Coding Index | xhigh effort | 56.1 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | xhigh effort | 38.2 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | medium effort | 30.2 points | independent | Artificial Analysis |
| Intelligence Index v4.1 | no reasoning | 17.6 points | independent | Artificial Analysis |
| ECI | xhigh effort | 146.6 points | independent | Epoch AI Benchmarking Hub |
| ECI | 146.6 points | independent | Epoch AI Benchmarking Hub | |
| ECI | medium effort | 146.6 points | independent | Epoch AI Benchmarking Hub |
| ECI | high effort | 146.6 points | independent | Epoch AI Benchmarking Hub |
| ECI | low effort | 146.6 points | independent | Epoch AI Benchmarking Hub |
| ECI | no reasoning | 146.6 points | independent | Epoch AI Benchmarking Hub |
| Vals Index | high effort | 46.6 points | independent | Vals AI |
factuality
| SimpleQA Verified | high effort | 12.0 % | independent | Epoch AI Benchmarking Hub 2026-04-14 |
human preference
| Coding (style control)older version arena=text · category=coding · style_control=true | high effort | 1461.2 1454.9–1467.6 | community | LMArena Leaderboard Dataset |
| Industry Software And It Services (style control)older version arena=text · category=industry_software_and_it_services · style_control=true | high effort | 1451.2 1445.6–1456.8 | community | LMArena Leaderboard Dataset |
| Expert (style control)older version arena=text · category=expert · style_control=true | high effort | 1436.7 1427.3–1446.2 | community | LMArena Leaderboard Dataset |
| Industry Mathematical (style control)older version arena=text · category=industry_mathematical · style_control=true | high effort | 1436.6 1424.4–1448.8 | community | LMArena Leaderboard Dataset |
| Hard Prompts English (style control)older version arena=text · category=hard_prompts_english · style_control=true | high effort | 1432.3 1426.3–1438.3 | community | LMArena Leaderboard Dataset |
| French (style control)older version arena=text · category=french · style_control=true | high effort | 1428.6 1411.7–1445.6 | community | LMArena Leaderboard Dataset |
| Math (style control)older version arena=text · category=math · style_control=true | high effort | 1426.9 1415.2–1438.6 | community | LMArena Leaderboard Dataset |
| Hard Prompts (style control)older version arena=text · category=hard_prompts · style_control=true | high effort | 1423.5 1418.6–1428.4 | community | LMArena Leaderboard Dataset |
| Chinese (style control)older version arena=text · category=chinese · style_control=true | high effort | 1422.0 1409.3–1434.7 | community | LMArena Leaderboard Dataset |
| Industry Medicine And Healthcare (style control)older version arena=text · category=industry_medicine_and_healthcare · style_control=true | high effort | 1419.1 1408.5–1429.8 | community | LMArena Leaderboard Dataset |
| Industry Life And Physical And Social Science (style control)older version arena=text · category=industry_life_and_physical_and_social_science · style_control=true | high effort | 1419.0 1411.5–1426.6 | community | LMArena Leaderboard Dataset |
| English (style control)older version arena=text · category=english · style_control=true | high effort | 1415.9 1410.7–1421.2 | community | LMArena Leaderboard Dataset |
| Multi Turn (style control)older version arena=text · category=multi_turn · style_control=true | high effort | 1415.6 1408.4–1422.9 | community | LMArena Leaderboard Dataset |
| Longer Query (style control)older version arena=text · category=longer_query · style_control=true | high effort | 1405.7 1399.9–1411.5 | community | LMArena Leaderboard Dataset |
| Industry Business And Management And Financial Operations (style control)older version arena=text · category=industry_business_and_management_and_financial_operations · style_control=true | high effort | 1405.2 1398.1–1412.3 | community | LMArena Leaderboard Dataset |
| Industry Legal And Government (style control)older version arena=text · category=industry_legal_and_government · style_control=true | high effort | 1404.0 1393.7–1414.3 | community | LMArena Leaderboard Dataset |
| Overall (style control) arena=text · category=overall · style_control=true | high effort | 1403.7 1399.7–1407.7 | community | LMArena Leaderboard Dataset |
| Polish (style control)older version arena=text · category=polish · style_control=true | high effort | 1399.6 1379.4–1419.8 | community | LMArena Leaderboard Dataset |
| Russian (style control)older version arena=text · category=russian · style_control=true | high effort | 1393.4 1384.5–1402.3 | community | LMArena Leaderboard Dataset |
| German (style control)older version arena=text · category=german · style_control=true | high effort | 1392.3 1369.2–1415.4 | community | LMArena Leaderboard Dataset |
| Exclude Ties (style control)older version arena=text · category=exclude_ties · style_control=true | high effort | 1391.4 1386.1–1396.8 | community | LMArena Leaderboard Dataset |
| Instruction Following (style control)older version arena=text · category=instruction_following · style_control=true | high effort | 1388.1 1382.2–1394.0 | community | LMArena Leaderboard Dataset |
| Non English (style control)older version arena=text · category=non_english · style_control=true | high effort | 1387.8 1382.7–1392.8 | community | LMArena Leaderboard Dataset |
| Spanish (style control)older version arena=text · category=spanish · style_control=true | high effort | 1385.8 1368.9–1402.7 | community | LMArena Leaderboard Dataset |
| Industry Writing And Literature And Language (style control)older version arena=text · category=industry_writing_and_literature_and_language · style_control=true | high effort | 1364.6 1358.0–1371.2 | community | LMArena Leaderboard Dataset |
| Industry Entertainment And Sports And Media (style control)older version arena=text · category=industry_entertainment_and_sports_and_media · style_control=true | high effort | 1352.1 1345.0–1359.3 | community | LMArena Leaderboard Dataset |
| Korean (style control)older version arena=text · category=korean · style_control=true | high effort | 1338.9 1316.4–1361.5 | community | LMArena Leaderboard Dataset |
| Creative Writing (style control)older version arena=text · category=creative_writing · style_control=true | high effort | 1337.2 1329.4–1345.0 | community | LMArena Leaderboard Dataset |
knowledge science
| GPQA Diamond implementation=artificial-analysis | xhigh effort | 81.7 % | independent | Artificial Analysis |
| GPQA Diamond | high effort | 78.5 % | independent | Epoch AI Benchmarking Hub 2026-04-14 |
| GPQA Diamond implementation=vals-ai | high effort | 77.5 % | independent | Vals AI |
| GPQA Diamond implementation=artificial-analysis | medium effort | 76.1 % | independent | Artificial Analysis |
| GPQA Diamond implementation=artificial-analysis | no reasoning | 55.8 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | xhigh effort | 26.5 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | medium effort | 14.7 % | independent | Artificial Analysis |
| Humanity's Last Exam implementation=artificial-analysis | no reasoning | 4.2 % | independent | Artificial Analysis |
| MMLU-Pro implementation=vals-ai | high effort | 77.2 % | independent | Vals AI |
language
| Release 2026-06-25 tasks_counted=3 · livebench_version=2026-06-25 | xhigh effort | 62.5 % | independent | LiveBench |
long context instruction
| AA-LCR | xhigh effort | 66.0 % | independent | Artificial Analysis |
| AA-LCR | medium effort | 57.3 % | independent | Artificial Analysis |
| AA-LCR | no reasoning | 24.7 % | independent | Artificial Analysis |
| IFBench | xhigh effort | 75.9 % | independent | Artificial Analysis |
| IFBench | medium effort | 64.4 % | independent | Artificial Analysis |
| IFBench | no reasoning | 32.7 % | independent | Artificial Analysis |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 67.2 % | independent | LiveBench |
multimodal
| MMMU implementation=vals-ai | high effort | 73.6 % | independent | Vals AI |
professional
| CaseLaw | high effort | 51.9 % | independent | Vals AI |
| CorpFin | high effort | 61.2 % | independent | Vals AI |
| LegalBench | high effort | 77.9 % | independent | Vals AI |
| TaxEval | high effort | 67.4 % | independent | Vals AI |
reasoning math
| AIME implementation=vals-ai | high effort | 88.8 % | independent | Vals AI |
| ARC-AGI-1older version split=public_eval · model_type=CoT | high effort | 51.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | xhigh effort | 51.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | xhigh effort | 47.9 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | medium effort | 43.4 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 38.2 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 33.0 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | low effort | 24.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 18.3 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | xhigh effort | 5.7 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | high effort | 5.1 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | xhigh effort | 4.2 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 3.6 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | medium effort | 3.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 1.9 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 1.5 % | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | xhigh effort | 0.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | xhigh effort | 0.2 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | high effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | high effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | xhigh effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | xhigh effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | high effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | medium effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | medium effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | high effort | 0.1 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | medium effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | medium effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | low effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=public_eval · model_type=CoT | low effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-1older version split=semi_private · model_type=CoT | low effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=semi_private · model_type=CoT | low effort | 0.0 usd_per_task | independent | ARC Prize Leaderboard |
| ARC-AGI-2 split=public_eval · model_type=CoT | low effort | 0.0 % | independent | ARC Prize Leaderboard |
| FrontierMath | high effort | 25.9 % | independent | Epoch AI Benchmarking Hub 2026-04-15 |
| FrontierMath Tier 4older version | high effort | 6.3 % | independent | Epoch AI Benchmarking Hub 2026-04-15 |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 91.0 % | independent | LiveBench |
| Release 2026-06-25 tasks_counted=4 · livebench_version=2026-06-25 | xhigh effort | 81.1 % | independent | LiveBench |
| OTIS Mock AIME 2024–2025 | high effort | 87.8 % | independent | Epoch AI Benchmarking Hub 2026-04-14 |
Agent + model results
systems, not bare-model scores
| agent + model Artificial Analysis harness + GPT 5.4 Nano (2026-03-17) | Terminal-Bench 2.1 | 60.7 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GPT 5.4 Nano (2026-03-17) | Terminal-Bench Hard | 42.4 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GPT 5.4 Nano (2026-03-17) | Terminal-Bench Hard | 33.3 % | independent | Artificial Analysis |
| agent + model Artificial Analysis harness + GPT 5.4 Nano (2026-03-17) | Terminal-Bench Hard | 24.2 % | independent | Artificial Analysis |
These scores measure the whole agent system (scaffold, tools, budgets) — they are never merged into the bare model’s numbers.
