xAI flagship frontier model with 500k context, real-time reasoning, and prompt caching
grok-4.6| Scenario | Input Tokens | Output Tokens | Uncached Cost | With Prompt Caching |
|---|---|---|---|---|
| Short Chat Query | 1,000 | 500 | $0.00500 | $0.00350 |
| Document Summarization | 10,000 | 2,000 | $0.0320 | $0.0170 |
| Codebase & Context Analysis | 100,000 | 20,000 | $0.3200 | $0.1700 |
| Batch Corpus Processing | 1,000,000 | 100,000 | $2.60 | $1.10 |
Ideal for production workloads demanding flagship capabilities, deep context depth (500k tokens), and reliability from xAI. Excellent when predictable tokenomics and prompt caching support are paramount.
If your use-case requires sub-second streaming latency or ultra-high frequency classification at micro-cent pricing, consider lighter budget options such as Gemini Flash-Lite or Claude Haiku. For deep formal logic, consider dedicated reasoning models like o3.
For Grok 4.6, 1 million input tokens costs $2.00, while 1 million output tokens costs $6.00. If using prompt caching, repetitive input prefixes are discounted to $0.50 per million.
Grok 4.6 features a maximum context window of 500,000 tokens (~375,000 words), with a maximum output limit of 131,072 tokens per completion.
Grok 4.6 utilizes the xAI Byte-level BPE (~131k vocabulary). Token counting on TokenMath runs client-side to ensure maximum privacy.
Yes. Grok 4.6 supports prompt caching with a cached input rate of $0.50/1M (saving up to 75% on repeated input context).