XAI MODEL GUIDE
Grok 4.6 API
xAI's flagship model for coding, AI agent workflows, knowledge work, long-running tool use, and visual interaction.
Multi-file coding, web and X research, long-source analysis, and code-execution workflows.
Batch-dependent pipelines, unlimited transcript growth, or simple high-volume requests that need no search or tools.
Choosing and integrating
Grok 4.6 API pricing breakdown
Grok 4.6 (grok-4.6) is billed by token usage. Prices below are USD per 1M tokens. LLMFly AI rates already include the 0.4x group multiplier; do not apply it again. Provider reference prices are separate. These rates come from the site's Model Plaza snapshot; confirm live catalog and account rates before calling.
Example: a request with 10,000 uncached input tokens and 1,000 output tokens costs approximately $0.0104 in LLMFly AI token charges. This excludes cache writes, tools, retries, and other additional fees.
- Platform and provider prices use their own input-token tiers. Do not apply provider long-context multipliers to platform prices.
- Not listed does not mean free. Account for cache reads, cache writes, and uncached input in their respective billing categories.
- Token cost = tokens in each billing category × its price per million ÷ 1,000,000. Add tools and other charges separately.
| Price source | Input tokens per request | Input | Output | Cache write | Cache read | 1h cache write |
|---|---|---|---|---|---|---|
| LLMFly AI | 0 < tokens ≤ 199,999 | $0.8 | $2.4 | Not listed | $0.2 | Not listed |
| LLMFly AI | 199,999 < tokens | $1.6 | $4.8 | Not listed | $0.4 | Not listed |
| Provider reference | 0 < tokens ≤ 199,999 | $2 | $6 | Not listed | $0.5 | Not listed |
| Provider reference | 199,999 < tokens | $4 | $12 | Not listed | $1 | Not listed |
When Grok 4.6 is the right candidate
Grok 4.6 combines long context, configurable reasoning, search, and code execution. That makes it relevant for workflows requiring several actions and fresh external information, not every ordinary chat request.
- Multi-file coding, debugging, and repository analysis.
- Research agents combining web and X search.
- Long-form knowledge work across large source sets.
- Multi-step workflows using code execution and functions.
Standard and long-context pricing thresholds
| Input size | Pricing behavior | Recommended action |
|---|---|---|
| ≤ 200K | Standard vendor pricing | Still curate input and test caching |
| > 200K | Higher long-context pricing | Compact history and retrieve relevant passages first |
| Long agent loops | Resent history grows cost | Use cache affinity and context compaction |
Choose web search, X search, or no search
| Mode | Use for | Control |
|---|---|---|
| Web search | Current web facts and public sources | Preserve citations and check dates |
| X search | Real-time X discussion and signals | Separate opinion, rumor, and verified fact |
| No search | Stable knowledge and private context | Do not imply the answer is current |
Design context for long-running agents
- Keep task state, key decisions, and unfinished actions instead of every raw log.
- Separate stable instructions from dynamic conversation so caching can be measured.
- Extract conclusions and traceable references from large tool results.
- Set tool-turn limits, timeouts, and explicit stop conditions.
Choose Responses or Chat Completions
xAI publishes both Responses and Chat Completions access. Use the protocol your application needs and the LLMFly AI route exposes; do not assume tool fields behave identically.
curl https://app.llmfly.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMFLY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "grok-4.6",
"messages": [{"role": "user", "content": "Summarize the tradeoffs in three bullets."}],
"stream": false
}'Validate search and tools before launch
- Test no-tool, web search, X search, code execution, and function calling separately.
- Record sources, tool errors, loop count, and total task cost.
- Validate unsupported legacy sampling fields and image preprocessing.
- Define degraded answers and stop conditions when a tool is unavailable.
Grok 4.6 constraints and wrong-fit workloads
- Requests above the published 200K long-context threshold use higher vendor pricing.
- Fresh internet or X information requires the corresponding search tool.
- Batch API support is not published for Grok 4.6.
- Validate image preprocessing, unsupported legacy sampling fields, and route-specific tool behavior before launch.
Grok 4.6 specification sources and usage notes
Specifications, tools, and context pricing were checked against xAI Grok 4.6 documentation: https://docs.x.ai/developers/models/grok-4.6. Confirm endpoints, search tools, and rates in LLMFly AI Model Plaza.
Frequently asked questions
What is the Grok 4.6 context window?
xAI publishes a 500K context window, with a higher long-context pricing tier above 200K input tokens.
When should I use web search versus X search?
Use web search for public web facts and formal sources; use X search for real-time X discussion, while separating opinion from verified facts.
Does Grok 4.6 support the Batch API?
The current vendor page does not publish Batch API support for this model, so do not depend on it without verification.
How do long agents control growing cost?
Use cache affinity, context compaction, summarized tool results, and explicit loop limits.
Does LLMFly AI expose every xAI tool?
Not necessarily. Confirm the route and endpoint in Model Plaza and test each required tool.
Test Grok 4.6 with your own task
Create an API key, confirm the model ID, and start with a small representative request.