Last refreshed 2026-06-04. Next refresh: weekly.
Why use Kimi K2 on GCP Vertex AI?
GCP Vertex AI offers Kimi K2 with pay-as-you-go pricing at $0.50/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Compare Kimi K2 across 3 providers to find the best fit for your use caseSetup recipe
Python + curlpip install google-cloud-aiplatformexport GOOGLE_CLOUD_PROJECT=...import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")kimi-k2Request example
import os
import vertexai
from vertexai.generative_models import GenerativeModel
# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("kimi-k2")
response = model.generate_content("Hello")
print(response.text)Gotchas
- For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
- The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.
Compare Kimi K2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.57 | $2.30 |
| AWS Bedrock | $0.50 | $2.00 |
| GCP Vertex AI | $0.50 | $2.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $2.00 |
Capabilities
About Kimi K2
Original Kimi K2 model from Moonshot AI. Moonshot discontinued the Kimi K2 series API IDs on 2026-05-25; use kimi-k2-6 as the current successor.
FAQ
What does Kimi K2 cost on GCP Vertex AI?
On GCP Vertex AI, Kimi K2 costs $0.50 per 1M input tokens and $2.00 per 1M output tokens.
What is the context window for Kimi K2 on GCP Vertex AI?
Kimi K2 supports a 262k token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Kimi K2 providers?
Kimi K2 is available from 3 providers. The cheapest input pricing is $0.50/1M tokens from AWS Bedrock.
Who created Kimi K2?
Kimi K2 was created by Moonshot AI as part of the Kimi K2 model family.
Is Kimi K2 open source?
Kimi K2 is open source under MIT according to the seed data.