Grok 4.6 pricing for chatbot

Quick start

Call Grok 4.6 with the OpenAI Python SDK pointed at api.x.ai:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.x.ai/v1",
    api_key=os.environ["XAI_API_KEY"],
)
response = client.chat.completions.create(
    model="grok-4.6",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0100 per call at standard rates
# Input:  $2.00/MTok
# Output: $6.00/MTok

How Grok 4.6 compares on cost

Per-call cost for all models scoring 50+ on chatbot benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.001600/call (84% less, 85/100 quality).

What drives chatbot cost

Conversational cost compounds: every turn resends the history, so the tenth message in a thread costs several times the first. Cost grows with the square of conversation length unless you cache the prefix or truncate history. Prompt caching is not an optimization here, it is the difference between a viable and an unviable unit economic.

For Grok 4.6 specifically, that means output tokens cost 3.0x more than input, at $6.00 vs $2.00 per MTok. At this use case’s 2,000/1,000 token split, output accounts for 60% of the $0.0100 per-call cost.

Grok 4.6 quality benchmarks for chatbot

Benchmark data for chatbot is pending for Grok 4.6. Test against your own evaluation suite before moving to production.

Performance across all task types

Grok 4.6 scores by task type. Chatbot highlighted.

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

About Grok 4.6

Other models from Grok

You can compare Grok 4.6 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions