Grok Build 0.1 pricing for api generation

Quick start

Call Grok Build 0.1 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-build-0.1",
    max_tokens=6000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0150 per call at standard rates
# Input:  $1.00/MTok
# Output: $2.00/MTok

How Grok Build 0.1 compares on cost

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

Cheapest viable option: Claude Sonnet 5 at $0.0660/call (-340% less, 93/100 quality).

What drives api generation cost

Endpoint generation is the most output-heavy code task tracked here: 3K in for the spec, 6K out for handlers, types, validation, and error paths. Output pricing is therefore the whole ballgame, and the gap between a flagship and a mid-tier model at 6K output tokens compounds fast across a large API surface. Generating one resource at a time costs less than one giant multi-resource prompt.

For Grok Build 0.1 specifically, that means output tokens cost 2.0x more than input, at $2.00 vs $1.00 per MTok. At this use case’s 3,000/6,000 token split, output accounts for 80% of the $0.0150 per-call cost.

Grok Build 0.1 quality benchmarks for api generation

Benchmark data for api generation is pending for Grok Build 0.1. Test against your own evaluation suite before moving to production.

Performance across all task types

Grok Build 0.1 scores by task type. API 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 Build 0.1

xAI's coding-specialised model and the cheapest Grok row on output. Released in early access; xAI publishes release notes at month granularity only.

Other models from Grok

You can compare Grok Build 0.1 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