Grok 4.3 pricing for api generation

Quick start

Call Grok 4.3 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-4.3",
    max_tokens=6000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0187 per call at standard rates
# Input:  $1.25/MTok
# Output: $2.50/MTok

How Grok 4.3 compares on cost

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

Highest-quality affordable option: Claude Haiku 4.5 at $0.0330/call (1.8x the cost, 72/100 quality). Grok 4.3 is already the cheapest choice for api generation.

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 4.3 specifically, that means output tokens cost 2.0x more than input, at $2.50 vs $1.25 per MTok. At this use case’s 3,000/6,000 token split, output accounts for 80% of the $0.0187 per-call cost.

Grok 4.3 quality benchmarks for api generation

Performance across all task types

Grok 4.3 scores by task type. API Generation highlighted.

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

About Grok 4.3

xAI publishes no release date for this model; dated to the March 4.20-generation launch whose pricing and 1M context window it shares. Priced from the live models table, which is what matters for costing traffic.

Other models from Grok

You can compare Grok 4.3 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