xAI
Coding and agentic model with 500K context, structured outputs, and four reasoning effort levels.
At a glance
API model ID: grok-4.6
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
Reasoning cannot be disabled. The supported levels are low, medium, high and xhigh. Use focused evaluations to find the least expensive effort that meets your accuracy needs; xhigh may spend more time and tokens on the task.
Unsupported settings: none.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Make prioritization traceable to evidence rather than ticket wording.
Review the engineering tickets and impact notes below. Group duplicates, distinguish reproducible bugs from feature requests, and prioritize work by user impact, confidence and dependency order. Cite the ticket IDs behind each decision. For the top five items, write a clear acceptance criterion and identify the evidence still needed before implementation.
Workflow 02
Use logs to form testable hypotheses without inventing execution results.
Analyze the deployment logs and configuration diff I provide. Build a timeline, identify the earliest meaningful failure, and rank three possible causes with supporting and contradicting evidence. Suggest read-only checks that distinguish the causes. Do not change infrastructure or claim a root cause is confirmed without the necessary evidence.
Workflow 03
Capture implementation boundaries and open questions for the next engineer.
Turn these implementation notes into a technical handoff. Cover the current behavior, key interfaces, affected files, verification already performed and known gaps. Label proposed work separately from completed work. Finish with a short checklist another engineer can follow to reproduce the result and decide whether it is ready to release.
Developer reference
These are global xAI API reference prices, not EZ Ai Assist subscription prices.
View EZ Ai Assist plans| Token type | < 200,000prompt tokens | ≥ 200,000prompt tokens |
|---|---|---|
| Input | $2.00 | $4.00 |
| Cached input | $0.50 | $1.00 |
| Output | $6.00 | $12.00 |
| Usage | Rate and unit |
|---|---|
| Web Search | $5.00per 1,000 calls |
| X Search: posts | $5.00per 1,000 posts fetched |
| X Search: profiles | $10.00per 1,000 profiles fetched |
| Code execution | $5.00per 1,000 calls |
Common questions
It is a coding, agentic-task and knowledge-work model with configurable reasoning. It can be useful for a maintained workflow you have already evaluated. Compare it with 4.7 using the same tasks, checks and tool configuration rather than assuming equal task performance.
The documented context window is 500,000 tokens. A separate maximum output and training cutoff were not verified in the reviewed card. Context capacity is not an output guarantee or a promise of the same allowance in EZ Ai Assist.
Low, medium, high and xhigh are documented, with high as the default. Reasoning cannot be disabled. Higher effort can mean more latency and billed tokens; measure whether the improvement matters for your task.
Yes: the card lists text/image input, text output and structured outputs. A structured format helps downstream processing but does not make the content correct. Validate the schema and factual values before acting on them.
No. Custom function calling and server-side tools require the correct integration and enabled tools. Do not treat API support as permission to perform actions or as evidence that an EZ Ai Assist chat has those tools connected.
Below 200,000 prompt tokens, standard input, cached input and output cost $2, $0.50 and $6 per million tokens. At the threshold, each rate doubles for the request. Reasoning usage, tools and processing choices can add cost.
Its model card says Batch API is not supported. Do not copy version-specific behavior from 4.7, including its default encrypted reasoning return, into a 4.6 integration without checking documentation. EZ Ai Assist features are verified separately.
Check the source
Specifications and API prices checked on . Example prompts and workflow advice are editorial guidance from EZ Ai Assist.
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