Gemini 2.5 Flash
Gemini 2.5 Flash by Google: 10 offers. From €0.13 per 1M input tokens. No offer with EU processing is listed.
Calculate costs for this modelCompare offersView price history
Profile
| Profile | |
|---|---|
| Developer | |
| Type | Language models |
| Origin | US |
| Input types | text+bild |
| Context (tokens) | 1,048,576 |
| Max. output (tokens) | 65,535 |
| Reasoning | ohne |
| Parameters (bn) | – |
| Open weights | – no |
| Licence | proprietär |
| Released | – |
searchit Entity Extraction (–): 75.2 %
Offers with processing in the EU (1)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| cortecs | AT | standard | €0.27 | €2.24 | 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 (9)
| Provider | Country | Variant | Input | Output | Source | As of |
|---|---|---|---|---|---|---|
| Google (Gemini API) | US | batch | €0.13 | €1.12 | ai.google.dev | 12 Oct 2026 |
| Google (Gemini API) | US | flex | €0.13 | €1.12 | ai.google.dev | 12 Oct 2026 |
| Google Vertex AI | US | batch | €0.13 | €1.12 | cloud.google.com | 14 Oct 2026 |
| Google Vertex AI | US | flex | €0.13 | €1.12 | cloud.google.com | 14 Oct 2026 |
| DeepInfra | US | standard | €0.27 | €2.23 | deepinfra.com | 14 Oct 2026 |
| Google (Gemini API) | US | standard | €0.27 | €2.23 | ai.google.dev | 12 Oct 2026 |
| Google Vertex AI | US | standard | €0.27 | €2.23 | cloud.google.com | 14 Oct 2026 |
| Google (Gemini API) | US | priority | €0.48 | €4.02 | ai.google.dev | 12 Oct 2026 |
| Google Vertex AI | US | priority | €0.48 | €4.02 | cloud.google.com | 14 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) | 79 |
| Humanity's Last Exam (Artificial Analysis) | 12.1 |
| Berkeley Function-Calling Leaderboard V4 | 56.2 |
| Vectara HHEM-2.3 | 7.8 |
| Vectara HHEM-2.3 – antwortrate | 99 |
| Vectara HHEM-2.3 – halluzination | 7.8 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer beziehungen | 60.9 |
| searchit Extraktions-Messlauf REPO-9 (PROMPT-CRAWLER-TEXT-START, 8 Dokumente × 3 Läufe) – treffer entitaeten | 89.6 |
| Structured Output Benchmark (SOB), arXiv 2604.25359 | 0.98 |
| Structured Output Benchmark (SOB), arXiv 2604.25359 – json pass | 0.98 |
| Structured Output Benchmark (SOB), arXiv 2604.25359 – wertgenauigkeit | 0.82 |