Moonshot AI
Moonshot AI

Kimi K2 0711 pricing & price history

toolsmoonshotai/kimi-k2

Kimi K2 0711 by Moonshot AI costs $0.57 per 1M input tokens and $2.30 per 1M output tokens, with a 131K token context window.

$0.57Input / 1M tokens
$2.30Output / 1M tokens
131KContext window
—Intelligence index

Price history

$0.00$1.32$2.64 2026-09-24today input /1M output /1M

No price changes since tracking began on 2026-09-24. We check every 10 minutes.

Cost calculator

Cheaper alternatives to Kimi K2 0711

ModelInputOutputContextIntel.
Z.ai (Zhipu)
GLM 5.3 Flash
Z.ai (Zhipu)
$0.0399$0.07841M27.8compare
$0.0434$0.301M—compare
$0.022$0.401M—compare
$0.098$0.291M28.6compare
Meta Llama
Llama 4 Scout
Meta Llama
$0.10$0.301.3M—compare
$0.14$0.281.1M26.7compare
$0.18$0.18164K—compare
$0.10$0.501M36.5compare

Using a relay or third-party API?

Check for free whether it really serves Kimi K2 0711: output fingerprint, tokenizer and billing evidence, results in 1–3 minutes.

Check authenticity →

About Kimi K2 0711

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

FAQ

How much does Kimi K2 0711 cost?

Kimi K2 0711 by Moonshot AI costs $0.57 per 1M input tokens and $2.30 per 1M output tokens, with a 131K token context window. A typical request with 2,000 input and 500 output tokens costs about $0.0023.

What is the context window of Kimi K2 0711?

Kimi K2 0711 supports up to 131,072 tokens of context and up to 98,304 output tokens per request.

Has Kimi K2 0711’s price changed?

No price changes recorded since ModelBank started tracking it on 2026-09-24.

Is Kimi K2 0711 being deprecated?

No retirement date has been announced for Kimi K2 0711 as of 2026-11-12.

What are cheaper alternatives to Kimi K2 0711?

Cheaper options include GLM 5.3 Flash ($0.0399/$0.0784), DeepSeek V4 Flash 0731 ($0.0434/$0.30), DeepSeek V4.1 Flash ($0.022/$0.40), DeepSeek V4.1 Flash 1017 ($0.098/$0.29).