Moonshot AI (Kimi)

Kimi K2 Thinking

Type
language model
Context
262K tokens
Max output
262K
Released
7 November 2025
Knowledge cutoff
January 2025
API string
novita/kimi-k2-thinking
Weights
open

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
NanoGPT $0.3 $1.2 31 Jul 2026
OpenCode Zen $0.4 $2.5 31 Jul 2026
Kilo Code $0.47 $2 31 Jul 2026
Vercel $0.47 $2 31 Jul 2026
Helicone $0.48 $2 31 Jul 2026
io.net $0.55 $2.25 31 Jul 2026
alibaba-cn $0.574 $2.294 31 Jul 2026
302.AI $0.575 $2.3 31 Jul 2026
moonshotai-cn $0.6 $2.5 31 Jul 2026
novita-ai $0.6 $2.5 31 Jul 2026
meganova $0.6 $2.6 31 Jul 2026
Amazon Bedrock bedrock/us-east-1/moonshotai.kimi-k2-thinking $0.6 $2.5 31 Jul 2026
Baseten $0.6 $2.5 31 Jul 2026
Fireworks AI $0.6 $2.5 31 Jul 2026
Google Vertex AI $0.6 $2.5 31 Jul 2026
Hugging Face $0.6 $2.5 31 Jul 2026
LLM Gateway $0.6 $2.5 31 Jul 2026
Merge Gateway $0.6 $2.5 31 Jul 2026
Moonshot AI $0.6 $2.5 31 Jul 2026
Novita AI $0.6 $2.5 31 Jul 2026
OpenRouter $0.6 $2.5 31 Jul 2026
ZenMux $0.6 $2.5 31 Jul 2026
Cortecs $0.656 $2.731 31 Jul 2026
Amazon Bedrock bedrock/ap-south-1/moonshotai.kimi-k2-thinking $0.71 $2.94 31 Jul 2026
Amazon Bedrock bedrock/ap-northeast-1/moonshotai.kimi-k2-thinking $0.73 $3.03 31 Jul 2026
gmi $0.8 $1.2 31 Jul 2026
crusoe $2.5 $2.5 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

A single provider appears several times if it sells this model under different identifiers and at different prices — for example, at different weight precision. The identifier is shown next to the name. Identical offers that arrived from two sources under different spellings are merged into one row.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
WeirdML — unusual machine learning tasks 42.79 % WeirdML Leaderboard
Terminal-Bench — working in the command line 35.7 % · with a tuned harness Terminal-Bench v2 Leaderboard
APEX-Agents 4.1 %