Kimi K3 is now available through Vivgrid’s OpenAI-compatible API, with a 1M-token context window, multimodal input, tool calling, and support for demanding coding and agent workflows.
Vivgrid has officially added Kimi K3 to its global model platform, giving developers and AI teams a new option for long-context reasoning, software engineering, and agentic applications.
The model is available under the ID kimi-k3 and can be accessed through Vivgrid’s unified Chat Completions API.
Teams already using OpenAI-compatible SDKs can integrate Kimi K3 without building a separate client or changing their existing request format.
Built for Long-Context Work
Kimi K3 supports a context window of up to one million tokens and output of up to 128,000 tokens.
This allows developers to include significantly more source code, documentation, logs, specifications, and task history in a single request.
For large software projects, that can make it easier to analyze dependencies across files, review entire repositories, debug complex systems, and maintain context throughout longer engineering tasks.
Instead of splitting a project across many disconnected prompts, teams can keep more relevant information available to the model throughout the workflow.
Designed for Coding and AI Agents
Kimi K3 supports text and image input, as well as tool and function calling.
These capabilities make it suitable for applications that need to interact with:
Code repositories
Terminals and testing environments
Internal APIs
Databases
Browsers
Technical documents
Visual inputs
Potential use cases include repository-wide code review, large-scale refactoring, multi-service debugging, technical research, and long-running coding agents.
OpenAI-Compatible Integration
Kimi K3 is available through Vivgrid’s standard endpoint:
POST /v1/chat/completions
Developers only need to set the model field to kimi-k3.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "kimi-k3",
"messages": [
{
"role": "user",
"content": "Review this project and identify the highest-risk architectural issues."
}
],
"stream": true
}'
This unified interface allows teams to test and deploy Kimi K3 alongside other models while keeping authentication, billing, usage tracking, and monitoring within the same Vivgrid environment.
Pricing
Kimi K3 is available on Vivgrid at the following rates per one million tokens:
Input: US$3.00
Cached input: US$0.30
Output: US$15.00
Cached input pricing can reduce costs for applications that repeatedly reuse large prompts, codebases, reference documents, or persistent project context.
Available Now
Kimi K3 is now available to Vivgrid users through the API and Vivgrid Console.
The launch expands Vivgrid’s model catalog with a high-capability option for developers building coding assistants, autonomous agents, technical research systems, and production AI applications.
Teams already working with OpenAI-compatible APIs can begin testing Kimi K3 without redesigning their application stack.
Explore Kimi K3 on Vivgrid:
https://vivgrid.com/docs/models/kimi-k3
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