Grok 4.6
grok-4.6Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by [Grok 4.7](/x-ai/grok-4.7). Built by xAI.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$6.00
per 1M tokens · Standard
Input limit
500K
tokens
Output limit
450K
tokens
Input formats
Output formats
Grok 4.6 price history
2 price records since 9/25/2026
Grok 4.6 cost calculator
$70/month
Standard pricing
Overview
What is Grok 4.6?
Grok 4.6 is a text & reasoning and vision model from xAI. Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by [Grok 4.7](/x-ai/grok-4.7). Its 500K context window and $2.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Grok 4.6 benchmarks & speed
How Grok 4.6 scores on standardized evaluations, and where it lands among every model we track.
44.3
Intelligence Index
73tok/s
Output speed
Reasoning
GPQA Diamond
94.9%
Graduate-level scientific reasoning · top 1%
HLE
42.9%
Humanity's Last Exam · top 13%
Coding
SciCode
56.5%
Python for scientific computing · top 22%
Latency & design
- Time to first token
- 27.8s
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Grok 4.6 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.50
Per 1M tokens
Capabilities
Grok 4.6 Tools
Tools available when using Grok 4.6 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 44.3) position it for demanding production work.
- 500K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
