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Model details

grok-4-1-fast-non-reasoning

Grok 4.1 Fast Non-Reasoning is positioned as a streamlined companion to the broader Grok 4.1 family, deliberately trading deep chain-of-thought reasoning for speed and efficiency. Third-party documentation consistently attributes the model to xAI and frames it as the lightweight, non-reasoning counterpart to xAI's "best agentic tool-calling model," with a 2,000,000-token context window that makes it well suited to long-running workflows. By skipping the heavier reasoning layer, it is intended to deliver responsive text generation and summarization while still supporting the tool-calling behavior that defines the Grok 4.1 family.

In practice, the model is shaped for high-throughput, latency-sensitive scenarios where raw responsiveness matters more than multi-step deliberation. Available documentation describes it as a strong fit for customer-support automation, bulk content creation, and fast conversational responses, with tool integration, file handling, and temperature control available to steer outputs. Both text and image inputs are supported, producing text outputs, and the combination of a multi-million-token context with a non-reasoning focus makes it a practical choice for agents that need to process large documents or transcripts and act quickly on them rather than reason carefully through them.

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Provider
Jiekou.AI
Model key
grok-4-1-fast-non-reasoning
Release date
Jan 1, 2026
Last updated
Jan 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.18
Output token cost
$0.45

Limits

Output tokens
2,000,000 tokens
Context window
2,000,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Coverage

A Medium editorial by Balthasar dated August 5, 2026 frames Grok 4.1 Fast as a tool-calling model with a claimed 2-million-token context window and an Agent Tools API that bundles real-time X search, web search, code execution, uploaded-document search, and Model Context Protocol connections. The article states that on The piece shifts the engineering question from whether the model can call tools to who controls the loop when tool calls multiply, citing cost, data exposure, and failure handling as core concerns for production deployment. It treats the centralized hosted-tools stack as a convenience that also concentrates decisions a

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