---
title: "Grok 4 for Hermes Agent: Pricing, Setup, and What It's Good At"
description: "Everything you need to know about using Grok 4 with Hermes Agent. Costs $3.00/M input, $15/M output. 256K context window. Here's when to use it and when to pick something else."
date: 2026-04-17
updatedDate: 2026-09-08
image: /images/models/provider-xai-hero.jpg
keywords: "grok 4 hermes, grok 4 pricing, grok 4 review, xai hermes, grok 4 api"
category: model-guide
modelData:
  provider: "xAI"
  provider_slug: "xai"
  full_id: "xai/grok-4"
  input_cost_per_1m: 3
  output_cost_per_1m: 15
  max_input_tokens: 256000
  max_output_tokens: 256000
  features: ["function_calling", "web_search"]
  parameter_count: null
  architecture: null
  license: null
faq:
  - question: "What is the exact context window and output limit?"
    answer: "Grok 4 supports a 256K token context window for inputs and a matching 256K token limit for outputs."
  - question: "How much does it cost to run Hermes on Grok 4?"
    answer: "It costs $3.00 per 1 million input tokens and $15.00 per 1 million output tokens."
  - question: "Does it support Hermes' MCP tools?"
    answer: "Yes, it has native function_calling support which integrates directly with Hermes' MCP protocol and 47 built-in tools."
---

Current as of April 2026. Grok 4 is xAI’s heavy-duty model for agents that need to live in massive contexts without losing their minds. At $3 per million input tokens, it competes directly with GPT-4o but offers a significantly larger output window for long autonomous runs.

## Specs

| | |
|---|---|
| **Provider** | xAI |
| **Input cost** | $3.00 / M tokens |
| **Output cost** | $15 / M tokens |
| **Context window** | 256K tokens |
| **Max output** | 256K tokens |
| **Parameters** | N/A |
| **Features** | function_calling, web_search |

## What it's good at

#### Massive Output Capacity

The 256K output limit is a rarity that allows Hermes to generate massive execution logs and complex multi-step plans without hitting a ceiling.

#### Reliable Function Calling

It handles Hermes’ 47 built-in tools with high precision, rarely hallucinating arguments even when switching between Slack and Discord contexts.

#### Real-time Web Integration

Native web_search features allow the agent to verify external data before executing shell commands or posting updates to messaging platforms.

## Where it falls short

#### Premium Output Pricing

At $15 per million tokens, output is expensive for high-frequency bots that post hundreds of messages a day.

#### Verbose Responses

The model tends to be chatty, which can inflate token usage during simple autonomous tasks like monitoring a folder or checking a single API.

## Best use cases with Hermes Agent

- **Cross-Platform History Analysis** — The 256K context window is perfect for ingesting weeks of Telegram and Slack history to maintain a persistent identity across sessions.
- **Complex MCP Tool Chaining** — It excels at reasoning through long sequences of tool calls required for complex automation like server migrations via SSH.

## Not ideal for

- **Simple Notification Bots** — Using a $3/$15 model for basic 'if-this-then-that' Discord alerts is a waste of money when cheaper models exist.
- **Low-Latency Triage** — While fast, the overhead of the large model can be overkill for agents that just need to categorize incoming messages.

## Hermes Agent setup

Configure the xAI provider with your API key and ensure the model ID is set to xai/grok-4. Set your max_tokens to at least 128K to allow the agent enough room for deep reasoning during autonomous loops.

Hermes makes custom endpoints easy. Run:

```bash
hermes model
```

Choose **Custom endpoint** from the menu. Enter the base URL and model identifier when prompted:

- **Base URL:** `https://api.x.ai/v1`
- **Model:** `xai/grok-4`

Hermes stores the selection and uses it for all subsequent agent runs across whatever platforms you have wired up (Telegram, Discord, Slack, etc.). Tune `HERMES_STREAM_READ_TIMEOUT` and related env vars if you're hitting slow providers.

## How it compares

- **vs GPT-4o** — Both cost $3/$15 per million tokens, but Grok 4 offers a much larger 256K output window compared to GPT-4o's 4K or 16K limits.
- **vs Claude 3.5 Sonnet** — Sonnet has slightly better tool-use logic, but Grok 4's massive context handling is superior for agents managing months of persistent memory.
- **vs Llama 3.1 405B** — Llama is often cheaper on third-party providers, but Grok 4’s native web search and 256K output give it the edge for autonomous web-based research.

## Bottom line

Grok 4 is the current heavyweight champion for Hermes users who need an agent with a massive memory and the ability to generate long, complex autonomous logs without truncation.

<a href="https://app.haimaker.ai/sign-up?utm_source=model_guide&utm_medium=cta&utm_campaign=hermes_grok-4" class="cta-button">TRY GROK 4 IN HERMES</a>

---

*For more, see our [Hermes local-LLM setup guide](https://hermes-agent.nousresearch.com/docs/guides/local-llm-on-mac).*