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Model details
Grok 4.20 (Non-Reasoning)
Grok 4.20 Non-Reasoning is the speed-oriented sibling in xAI's March 2026 Grok 4.20 family, deliberately positioned as a direct-response counterpart to the chain-of-thought variant. Rather than spending tokens on visible deliberation, it is engineered to answer quickly and follow instructions tightly, producing precise, truthful outputs with what xAI describes as the lowest hallucination rate on the market alongside strict prompt adherence. It is multimodal on the input side, accepting text, images, and PDF documents, and emits plain text, while supporting function calling and structured outputs so it can plug into agentic workflows, retrieval pipelines, and tool-using applications without the overhead of an explicit reasoning trace.
Within the broader Grok 4.2 generation, this non-reasoning release inherits the family's emphasis on instruction following, honesty, calibration, and multimodal understanding, trading the long chain-of-thought behavior of the reasoning edition for latency and determinism. xAI frames it as an enterprise-ready general-purpose assistant that handles research, analysis, coding, and complex professional tasks in single-agent or multi-agent settings, while Oracle's documentation highlights its industry-leading speed and agentic tool-calling support as core design choices. Practically, the model fits use cases where low latency, low hallucination, and faithful instruction following matter more than step-by-step explanation, such as high-throughput chat assistants, structured data extraction from documents and images, tool-augmented workflows, and cost-sensitive production deployments that want Grok 4.2-quality outputs without paying for reasoning tokens.
Quick Info
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- xAI
- Model key
- grok-4.20-0309-non-reasoning
- Release date
- Mar 9, 2026
- Last updated
- Mar 9, 2026
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $1.25
- Output token cost
- $2.50
Limits
- Output tokens
- 30,000 tokens
- Context window
- 1,000,000 tokens
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