OpenAI·released 2026-03-171 source
GPT-5.4 Nano benchmark scores: 13 benchmarks tracked. 23% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 13 benchmarks·best result 87.77 on OTIS Mock AIME 2024-2025 (reproduced)·3 of 13 independently reproduced·$0.2/$1.25 per M tokens
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 87.77accuracy (%) | reproduced· optimizedT1 | 2026-03-17Epoch AI |
| GPQA diamond | 71.29accuracy (%) | reproduced· optimizedT1 | 2026-03-17Epoch AI |
| DTBench | 67.12accuracy (%) | unverifiedT1 | 2026-03-17https://conceptualreasoning.ai/dtbench |
| ARC-AGI | 51.5accuracy (%) | unverified· optimizedT1 | 2026-03-17https://arcprize.org/leaderboard |
| WeirdML | 49.23accuracy (%) | unverifiedT1 | 2026-03-17https://htihle.github.io/weirdml.html |
| FrontierMath-Tiers-1-3-v2-Private | 44.91accuracy (%) | unverifiedT2 | 2026-03-17 |
| LMCA | 43.36accuracy (%) | unverifiedT1 | 2026-03-17https://conceptualreasoning.ai/lmca |
| Chess Puzzles | 42.13accuracy (%) | unverifiedT2 | 2026-03-17 |
| FrontierMath-Tier-4-v2-Private | 12.2accuracy (%) | reproducedT1 | 2026-03-17Epoch AI |
| SimpleQA Verified | 11.7accuracy (%) | unverifiedT2 | 2026-03-17 |
| ARC-AGI-2 | 5.69accuracy (%) | unverifiedT2 | 2026-03-17 |
| ProofBench | 5accuracy (%) | unverifiedT1 | 2026-03-17https://www.vals.ai/benchmarks/proof_bench |
| Mystery Game Puzzles | 0accuracy (%) | unverifiedT2 | 2026-03-17 |
Claims drawn from cited facts, not live model generation.
This model was developed by OpenAI and released in 2026.
2 cited facts
This model has scores on 13 tracked benchmarks and currently leads 0 of them. The record’s evidence status is independently reproduced.
3 cited facts
Its mean gap to the best recorded score across its tracked benchmarks is 53.35 points.
1 cited fact
6 facts cross-checked across data sources: 2 corroborated, 2 single-source, 2 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, litellm_prices, modelsdev_models, openrouter_models
GPT-5.4 Nano is an AI model developed by OpenAI, released 2026-03-17. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
GPT-5.4 Nano has recorded scores on 13 benchmarks, each shown with its evidence status.
GPT-5.4 Nano has recorded scores on 13 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 7 more. The full table above shows each score with its evidence status.
3 of 13 recorded scores (23%) are independently reproduced rather than self-reported by the lab.
GPT-5.4 Nano has 13 tracked claims: 3 independently reproduced, 10 unverified.
Listed API pricing: $0.2 per million input tokens, $1.25 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.