GPT-5.4 nano
GPT-5.4 nano by OpenAI: 4 offers. From €0.089 per 1M input tokens, with EU processing from €0.18.
Calculate costs for this modelCompare offersView price history
Profile
| Profile | |
|---|---|
| Developer | OpenAI |
| Type | Language models |
| Origin | US |
| Input types | text+bild |
| Context (tokens) | 400,000 |
| Max. output (tokens) | 128,000 |
| Reasoning | ohne |
| Parameters (bn) | – |
| Open weights | – no |
| Licence | proprietär |
| Released | – |
searchit Entity Extraction (24 Sept 2026): 26.9 %
Offers with processing in the EU (1)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| Azure OpenAI | US | global | €0.18 | €1.12 | azure.microsoft.com | 13 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
Offers outside the EU (3)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| OpenAI | US | batch | €0.089 | €0.56 | developers.openai.com | 12 Oct 2026 |
| OpenAI | US | flex | €0.089 | €0.56 | developers.openai.com | 12 Oct 2026 |
| OpenAI | US | standard | €0.18 | €1.12 | developers.openai.com | 12 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
AI Act
Whether the developer has signed the Code of Practice for general-purpose AI models: unknown. What this means is explained under “EU and AI Act”. EU processing and AI Act
Benchmarks
| Benchmarks | |
|---|---|
| GPQA Diamond (Artificial Analysis) | 76.1 |
| Humanity's Last Exam (Artificial Analysis) | 15.9 |
| ARC-AGI-2 (ARC Prize Foundation) | 1.5 |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 68.89 |
| FrontierMath Tiers 1-3 v2 (Epoch AI) | 20.35 |
| SimpleQA Verified (Epoch AI) | 11.7 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) | 74.9 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – kosten je seite | 0.21 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 gesamt | 74.9 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 kurz | 77.4 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 lang | 35.8 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value f1 mittel | 76.4 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value precision gesamt | 77.8 |
| ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction (arXiv:2607.29677) – value recall gesamt | 75.1 |
| Vectara HHEM-2.3 | 3.1 |
| Vectara HHEM-2.3 – antwortrate | 100 |
| Vectara HHEM-2.3 – halluzination | 3.1 |
| LiveBench (Aufgabensatz 2026-01-08) | 48.7 |
| MMMU-Pro (llm-stats-Abzug, Rang 1..50 von 69) | 0.66 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen | 11.8 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten | 41.9 |