Seclai

Seclai

Grok 4.1 Fast Non-Reasoning

LLM
xAI

xAI's fast non-reasoning model with 2M context. Supports function calling, structured outputs, and live search.

Context tokens

2,097,152

Output tokens

131,072

Schema

OpenAI-compatible chat format. We handle the model and stream parameters.

Schema documentation

Capabilities

Tool use
Structured output
OpenAI API

Supported tools

  • Seclai Content Tools

    Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.

  • Seclai Knowledge Base

    Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.

  • Seclai Memory Banks

    Manage persistent memory across agent runs. Includes tools for listing memory banks, writing entries, searching memory via semantic similarity, and loading entries in chronological order. Supports two memory types: 'conversation' (speaker-attributed turns) and 'general' (freeform text). Use key to organize entries by topic, session, or user.

Pricing

TypeCreditsUnits
Input2.66Credits per 1k tokens
Output6.65Credits per 1k tokens
Cache hit0.67Credits per 1k tokens

Variants

No variants available for this model.

Try This Model

Write a prompt and experiment with Grok 4.1 Fast Non-Reasoning in the playground. You can compare it with other models side by side.