Embedding Models
Convert text to dense vectors for semantic search, clustering, and retrieval-augmented generation. Available via the POST /embeddings endpoint.
Showing 3 of 3 models
| Token-by-token output via Server-Sent Events. Suitable for low-latency, real-time UI. | Function / tool calling (OpenAI-compatible). The model can return structured tool invocations. | Accepted values of the reasoning_effort parameter, from the platform model datasheet. "-": no values are published for this model. See the Reasoning Control guide. | Where the response reports the number of reasoning tokens in the usage object: completion_tokens_details.reasoning_tokens, usage.reasoning_tokens, or not reported (the model reasons, but the response carries no count). "-": the model has no reasoning. | Price per million prompt tokens served from the prefix cache: 15% of the normal input price. T-Cloud-hosted models only — cached pricing for external providers will be added later. | ||||||||||
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| BGE-M3 | | Hosted on T-Cloud Public — Telekom's sovereign infrastructure in Germany. | Text | Vector | ✗ | ✗ | 8K | - | - | €0.05 | €0.05 | €0.0075 | EssentialProfessionalAgentic | |
| Jina Embeddings v2 Base DE | | Hosted on T-Cloud Public — Telekom's sovereign infrastructure in Germany. | Text | Vector | ✗ | ✗ | 8K | - | - | €0.05 | €0.05 | €0.0075 | EssentialProfessionalAgentic | |
| Ada Text Embedding | | Hosted on Microsoft Azure (EU regions). | Text | Vector | ✗ | ✗ | 8K | - | - | €0.11 | €0.11 | n/a | EssentialProfessionalAgentic | |
| No models match the current filters. | ||||||||||||||