GLiNER 2 is here
State of the art classification and NER all in one model
First 1M tokens free
Efficiency at Scale
New capabilities with GLiNER-2
Named Entity Recognition
Identify people, companies, locations, and concepts in any text — instantly.
GLiNER 2-XL uses zero-shot transfer and contextual embeddings to detect new entities with human-level precision, without retraining.
Text Classification
Understand intent, sentiment, and topic at scale.
Classify messages, documents, or conversations into fine-grained categories that evolve with your users — powered by adaptive, self-learning agents.
Structured Extraction
Turn unstructured text into clean, actionable data.
Automatically extract key fields like amounts, addresses, or events, and map them into your database or workflow — ready for analytics, automation, or compliance.
GliNER-2 Benchmark Results
Dataset | GPT-5 | GLiNER-M | GLiNER-2-XL |
|---|---|---|---|
Parameters | - | 209M | 1B |
Hosting | - | Self-host | API |
Latency | 10000ms+ | 160ms | 130ms |
Descriptions | ✓ | ✗ | ✓ |
CPU | ✗ | ✓ | ✓ |
Privacy | ✗ | ✓ | ✓ |
Fine-tuning | ✗ | ✓ | ✓ |
Classification | ✓ | ✗ | ✓ |
Data structuring | ✓ | ✗ | ✓ |