xAI
Best Overall
1M-context model for instruction-driven work and tool calling, with configurable reasoning that can be disabled.
At a glance
API model ID: grok-4.3
Capabilities & boundaries
Tool support requires the appropriate API integration; a supported tool is not automatically active in every chat.
The current model card lists none, low, medium, high and xhigh, with low as the default. None switches reasoning off. Some older overview prose lists only four levels; use the current model card when checking availability, and evaluate the cost and latency of each setting on your workload.
Put it to work
Original examples from EZ Ai Assist. Adapt these to your task and the features available in your workspace.
Workflow 01
Convert a long policy document into traceable review steps.
Using the policy document below, produce a checklist for reviewing this proposed workflow. For every item, cite the section that creates the requirement, state the evidence a reviewer should inspect, and mark it required or advisory only when the source supports that distinction. Flag contradictory or missing requirements rather than inventing a rule.
Workflow 02
Find gaps between a specification and the proposed implementation.
Compare these numbered requirements with the design document. Create a table with requirement ID, supporting design section, coverage status and an acceptance test. Mark unsupported claims as unverified. Identify dependencies and the smallest clarification needed for each gap, without expanding the product scope.
Workflow 03
Use multiple screenshots as evidence without assuming hidden interactions.
Compare these screenshots from the same product. Identify inconsistent labels, spacing, hierarchy and status messaging that are visible in the images. Group repeated issues and suggest minimal changes that preserve the existing branding. For anything requiring keyboard or interactive testing, describe the check instead of claiming the screenshot proves the behavior.
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 | $1.25 | $2.50 |
| Cached input | $0.20 | $0.40 |
| Output | $2.50 | $5.00 |
| 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 combines a 1M-token context, tool calling, structured outputs and configurable reasoning. Document-heavy extraction and instruction-driven work are useful evaluation cases. Test it against representative inputs rather than treating the context size as a quality ranking.
Yes. The current card lists none, low, medium, high and xhigh; low is the default. None disables reasoning. Older overview prose lists fewer levels, so confirm the card and exact endpoint before relying on a setting.
No. The model card establishes a 1,000,000-token context window, not a separate output allowance. A maximum output limit and training cutoff are not verified in the reviewed sources. App limits may be smaller.
The card lists text and image input, text output and structured outputs. You can request schema-shaped results through the appropriate integration, but the data and claims still require validation.
The standard rates below 200,000 prompt tokens are $1.25 input, $0.20 cached input and $2.50 output per million. At or above 200,000, all three rates double for the request. Tools and reasoning usage also matter.
Yes. xAI lists Batch API support and a 20% token discount for this model. Batch is asynchronous, not an interactive speed option; eligibility and request details should be checked before integration.
No. It documents xAI API behavior and prices, not a promise of identical EZ Ai Assist controls, tools or limits. Check the app and plan details before building a workflow around a particular capability.
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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