NGen 3.1 Models Series Launch

The NGen 3.1 series introduced a new generation of TNSA models with stronger multimodal capabilities, enhanced reasoning, and improved performance across diverse tasks.

It was designed as a practical model family: capable enough for advanced workflows, flexible enough for product integration, and efficient enough for teams that need predictable deployment.

The series is organized around clear use cases so builders can choose a model by capability, latency, and deployment needs instead of guessing from a single leaderboard score.

NGen 3.1 focused on the parts of model behavior that show up in everyday product work: following nuanced instructions, reading visual context, and staying coherent over longer tasks.

The API experience is built around simple model selection, predictable outputs, and compatibility with common application patterns such as retrieval, summarization, classification, and chat.

Teams can start with a general model and move toward more specialized variants as their task mix becomes clearer.

The NGen 3.1 series is available through the TNSA API Platform for developers building multimodal AI applications, internal tools, and user-facing AI products.

Before deploying NGen 3.1 in production, we recommend testing with your own prompts, documents, languages, image types, and edge cases. Model quality is strongest when benchmark results are paired with real workflow evaluation.