Grok 4.6 pricing for pr 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=3000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0340 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 pr review benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0460/call (-35% less, 96/100 quality).

What drives pr review cost

A pull request review carries the diff, the surrounding context, and often the PR description (heavy input, moderate output). Cost scales with PR size rather than with how much the model says, so the expensive reviews are the ones nobody wants to read anyway. Splitting large PRs is a cost control as much as an engineering practice.

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 8,000/3,000 token split, output accounts for 53% of the $0.0340 per-call cost.

Grok 4.6 quality benchmarks for pr review

Benchmark data for pr 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. PR 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