Grok-4.20 Non-Reasoning
Latency-optimized Grok 4.20 variant with a 2M-token context window, image understanding, and native tool support.
You always get the exact model you pick — we never silently route you to another.
About Grok-4.20 Non-Reasoning
Speed without the wait. Grok-4.20 Non-Reasoning is xAI's fastest production model — built for workloads where latency matters more than visible deliberation. At over 235 tokens per second, it handles real-time chat, high-volume content generation, and structured data extraction at a pace few models can match. What sets it apart further is factual accuracy: a 22% hallucination rate, the lowest recorded among leading models tested in 2026, driven by its native 4-agent cross-checking architecture that validates answers internally even when no reasoning trace is shown. Users consistently praise its speed and reliability for customer-facing APIs and live news commentary through its Harper agent integration with X data. The trade-off is real: skip chain-of-thought and you skip explainability — debugging a complex logical failure means working without breadcrumbs. Complex coding tasks also draw criticism; community consensus is that it trails Claude-family models for code generation. For teams building production systems that demand throughput and factual grounding over step-by-step transparency, Grok-4.20 Non-Reasoning delivers a compelling balance.
Best for
- Real-time conversational AI and customer-facing chat APIs where sub-200ms response times are required
- High-throughput content generation — blog posts, product descriptions, summaries — at production scale
- Structured data extraction and classification via tool-calling in API-driven workflows
- Live news analysis and event commentary using the Harper agent's real-time X (Twitter) data integration
- Fact-sensitive research and report generation where hallucination rate is a key selection criterion
Specifications
| Provider | xAI |
|---|---|
| Released | 2026-03 |
| Intelligence | High |
| Speed | Fast |
| Context window | 2,000,000 tokens |
| Knowledge cutoff | November 2024 + live X |
| Input price | $1.25 / 1M tokens |
| Output price | $2.50 / 1M tokens |
| Request cost | 1 premium request |
| Plan tier | Premium |
| Input | Text, Image |
| Output | Text |
| Features | 10M TPM · 1,800 RPM, Cached input: $0.20 / 1M tokens, Higher context pricing applies above 200K context, Structured outputs, web search, X search, function calling, and code execution supported |
| API endpoints | v1/chat/completions, v1/responses, v1/batch |
| Model ID | grok-4.20-beta-0309-non-reasoning |
Frequently asked questions
Pricing ranges from $1.25–$2.00 per 1M input tokens and $2.50–$6.00 per 1M output tokens depending on tier. Cached input is $0.20 per 1M tokens. Check xAI's current documentation, as pricing has shifted since the March 2026 launch.
The official xAI spec for the non-reasoning variant lists 1 million tokens. Some sources cite 2M for the full Grok 4.20 architecture, but 1M is the conservative documented figure for this specific model.
Multi-step logical reasoning is a documented weakness — a long-context reasoning score of 18% and limited chain-of-thought transparency make it a poor fit for problems that require auditable step-by-step logic. Community feedback also highlights gaps in complex code generation.
The reasoning variant runs extended chain-of-thought and is better suited for difficult logical or mathematical problems. This non-reasoning variant disables that process entirely, trading explainability for significantly higher output speed and lower cost per token.
Yes. The Harper agent provides live integration with X (Twitter) data, allowing the model to draw on real-time event feeds. Its base knowledge cutoff is November 2024.
Teams building latency-sensitive production systems — streaming APIs, real-time chat, live content pipelines — who need strong factual accuracy but do not require visible reasoning traces or complex multi-step logical outputs.