Grok 4.6 pricing for security review

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=2500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0270 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 security review benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0370/call (-37% less, 96/100 quality).

What drives security review cost

Security review is the code task where quality is worth paying for: a missed vulnerability costs more than the entire year's inference bill. Input is large (the code plus the threat context) and output is moderate. This is the clearest case on this list for choosing a top-ranked model over the cheapest viable one, and for not batching away the latency you need in CI.

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 6,000/2,500 token split, output accounts for 56% of the $0.0270 per-call cost.

Grok 4.6 quality benchmarks for security review

Benchmark data for security review 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. Security Review 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