Last refreshed 2026-05-11. Next refresh: weekly.
Why use Kimi K2 Thinking on GCP Vertex AI?
GCP Vertex AI offers Kimi K2 Thinking with pay-as-you-go pricing at $0.60/1M 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 Thinking across 5 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-k2-thinkingRequest 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-thinking")
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 Thinking Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.60 | $2.50 |
| GCP Vertex AI | $0.60 | $2.50 |
| NVIDIA NIM | — | — |
| AWS Bedrock | $0.60 | $2.50 |
| OpenRouter | $0.60 | $2.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.60 |
| Output tokens | $2.50 |
Capabilities
About Kimi K2 Thinking
Extended thinking variant of Kimi K2 with native reasoning capabilities. 256K context.
FAQ
What does Kimi K2 Thinking cost on GCP Vertex AI?
On GCP Vertex AI, Kimi K2 Thinking costs $0.6 per 1M input tokens and $2.5 per 1M output tokens.
What is the context window for Kimi K2 Thinking on GCP Vertex AI?
Kimi K2 Thinking supports a 256,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Kimi K2 Thinking providers?
Kimi K2 Thinking is available from 5 providers. The cheapest input pricing is $0.6/1M tokens from Fireworks AI.
Who created Kimi K2 Thinking?
Kimi K2 Thinking was created by Moonshot AI as part of the Kimi K2 model family.
Is Kimi K2 Thinking open source?
Kimi K2 Thinking is not open source; the seed data lists it as proprietary.