Grok 4.6 pricing for code generation

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=4000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0280 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 code generation benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0440/call (-57% less, 93/100 quality).

What drives code generation cost

Cost here is dominated by output, not input: the model writes far more than you ask. A prompt with a short spec and a few reference files runs 2K input, but a complete module comes back at 4K output or more, so a model's output rate matters roughly twice as much as its input rate. The biggest saving is not a cheaper model: it is caching the system prompt and coding standards you resend on every call.

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 2,000/4,000 token split, output accounts for 86% of the $0.0280 per-call cost.

Grok 4.6 quality benchmarks for code generation

Benchmark data for code generation 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. Code Generation 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