Moonshot AI Kimi · LLM API pricing

Kimi K2 Instruct API pricing: cheapest provider

4 providers sell Kimi K2 Instruct. DeepInfra is cheapest; the most expensive charges 1.7× as much for the same model.

  • Cheapest$0.875per 1M · DeepInfra
  • Input · output$0.50 / $2.00per 1M tokens
  • Price gap1.7×across 4 providers
  • Context131Kmax tokens
$0.875 DeepInfra1.7× spread$1.50 Together AI
Already paying for Kimi K2 Instruct? Check if you overpay →

Standard list prices in USD from each provider's pricing page · last price change Sep 28, 2026 · How we collect and rank prices

Ranked for your volume

Kimi K2 Instruct monthly cost by provider

Change the monthly tokens and the ranking updates instantly, using each provider's standard list price.

More requirements: caching, context, features, provider

Share this page URL to keep your scenario. 4 of 4 providers meet these assumptions.

ProviderEstimated / monthInput / 1MOutput / 1MContext
1
DeepInfraInference provider - lowest for your volumePricing page
$9.00$0.50$2.00131,072
2
Novita AIInference providerPricing page
$10.30$0.57$2.30131,072
3
Fireworks AIInference providerPricing page
$11.00$0.60$2.50131,072
4
Together AIInference providerPricing page
$16.00$1.00$3.00Not listed

Order depends on listed price for your volume only. No provider pays for its position.

Input volume includes the cached share, not an additional token volume. This is a list-price estimate, not a quote: cache-write charges, cache eligibility/TTL, batch discounts, long-context surcharges, regional pricing and taxes are excluded. Check the provider's terms for your workload before switching.

Price history

The cheapest price has not changed since tracking started on Sep 28, 2026: $0.875 per 1M tokens at DeepInfra. All price changes

Switch to the cheapest provider

Switch to DeepInfra

Already using the OpenAI SDK? Change the base URL, key and model name:

from openai import OpenAI
import os

client = OpenAI(
    base_url="https://api.deepinfra.com/v1/openai",
    api_key=os.environ["DEEPINFRA_API_KEY"],
)
response = client.chat.completions.create(
    model="moonshotai/Kimi-K2-Instruct",
    messages=[{"role": "user", "content": "Hello"}],
)
Base URL from DeepInfra's API docs, model name from the open pricing datasets. Check the model page in DeepInfra's docs before you switch production traffic.

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