Kimi K2 pricing for marketing copy

Quick start

Call Kimi K2 with the OpenAI Python SDK pointed at api.moonshot.cn:

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.moonshot.cn/v1",
    api_key=os.environ["MOONSHOT_API_KEY"],
)
response = client.chat.completions.create(
    model="kimi-k2",
    max_tokens=3000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0128 per call at standard rates
# Input:  $0.95/MTok
# Output: $4.00/MTok

How Kimi K2 compares on cost

Per-call cost for all models scoring 50+ on marketing copy benchmarks. Hover for details.

Cheapest viable option: Gemini 3.6 Flash at $0.0118/call (7% less, 76/100 quality).

What drives marketing copy cost

Marketing copy is generated in variants (the same brief producing many versions for testing), so cost scales with variant count rather than brief length. Requesting several variants in one call is markedly cheaper than several calls, because the brief and brand context are sent once instead of repeatedly.

For Kimi K2 specifically, that means output tokens cost 4.2x more than input, at $4.00 vs $0.95 per MTok. At this use case’s 800/3,000 token split, output accounts for 94% of the $0.0128 per-call cost.

Kimi K2 quality benchmarks for marketing copy

Benchmark data for marketing copy is pending for Kimi K2. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for Kimi K2. We recommend testing against your own evaluation criteria.

About Kimi K2

Prices from platform.kimi.ai (K2.6, read 2026-10-11). Cache hit: $0.16/MTok input. Batch API at 60% of standard rate. Not yet benchmarked, so never recommended.

Other models from Moonshot (Kimi)

You can compare Kimi K2 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