GPT-4o
GPT-4o by OpenAI: 5 offers. From €1.12 per 1M input tokens. No offer with EU processing is listed.
Calculate costs for this modelCompare offersView price history
Profile
| Profile | |
|---|---|
| Developer | OpenAI |
| Type | Language models |
| Origin | US |
| Input types | text+bild |
| Context (tokens) | 128,000 |
| Max. output (tokens) | 16,384 |
| Reasoning | ohne |
| Parameters (bn) | 440 |
| Open weights | – no |
| Licence | proprietär |
| Released | – |
searchit Entity Extraction (24 Sept 2026): 24.8 %
Offers with processing in the EU (1)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| cortecs | AT | standard | €2.39 | €9.55 | api.cortecs.ai | 14 Oct 2026 |
€ per 1M tokens. Source: providers' pricing pages, read and checked by searchit. As of 14 Oct 2026.
Offers outside the EU (4)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| OpenAI | US | batch | €1.12 | €4.47 | developers.openai.com | 12 Oct 2026 |
| OpenAI | US | standard | €2.23 | €8.94 | developers.openai.com | 12 Oct 2026 |
| Venice.ai | US | standard | €2.80 | €11.17 | docs.venice.ai | 14 Oct 2026 |
| OpenAI | US | fast | €3.80 | €15.19 | 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) | 52.1 |
| Humanity's Last Exam (Artificial Analysis) | 2.3 |
| ARC-AGI-2 (ARC Prize Foundation) | 0 |
| OTIS Mock AIME 2024-2025 (Epoch AI) | 6.4 |
| FrontierMath Tiers 1-3 v2 (Epoch AI) | 0.4 |
| SimpleQA Verified (Epoch AI) | 26 |
| SWE-bench Verified (Epoch AI) | 31 |
| Vectara HHEM-2.3 | 9.6 |
| Vectara HHEM-2.3 – antwortrate | 93.8 |
| Vectara HHEM-2.3 – halluzination | 9.6 |
| LiveBench (Aufgabensatz 2026-01-08) | 55.33 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) | 0.74 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – doc micro | 0.52 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – f1 micro | 0.96 |
| LLMStructBench: Benchmarking Large Language Model Structured Data Extraction (arXiv:2602.14743) – score | 0.74 |
| MMMU-Pro (llm-stats-Abzug, Rang 1..50 von 69) | 0.6 |
| MÖVE (Bundesdruckerei), arXiv 2606.13111 | 0.76 |
| MÖVE (Bundesdruckerei), arXiv 2606.13111 – qa | 0.69 |
| MÖVE (Bundesdruckerei), arXiv 2606.13111 – themen | 0.64 |
| MÖVE (Bundesdruckerei), arXiv 2606.13111 – zusammenfassung | 0.76 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen | 11 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten | 38.5 |
| MMLU-Pro (TIGER-Lab Leaderboard) | 74.7 |