KAT-Coder-Pro V1
KAT-Coder-Pro V1 is KwaiPilot's agentic coding model. It achieves a 73.4% resolve rate on SWE-Bench Verified with a context window of 256K tokens, parallel tool calling, and multi-turn support.
import { streamText } from 'ai'
const result = streamText({ model: 'kwaipilot/kat-coder-pro-v1', prompt: 'Why is the sky blue?'})What To Consider When Choosing a Provider
Zero Data Retention
AI Gateway does not currently support Zero Data Retention for this model. See the documentation for models that support ZDR.Authentication
AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
KAT-Coder-Pro V1 targets multi-turn agentic sessions. Factor context window consumption and session state into your integration planning. See https://novita.ai for methodology and benchmark details from KwaiPilot.
When to Use KAT-Coder-Pro V1
Best For
Automated issue resolution:
Pull request generation in real repositories end-to-end
Multi-file refactoring:
Refactoring workflows that span many files in one session
Parallel tool pipelines:
Agent pipelines where parallel tool calling reduces total completion time
Scale test generation:
Test case generation across existing codebases
Consider Alternatives When
General reasoning needs:
Writing or multimodal input sits outside a coding-tuned model's scope
Simple completions:
A lighter model suffices with minimal context
LiveCodeBench benchmark:
Competitive programming is the primary evaluation criterion
Conclusion
KAT-Coder-Pro V1 pairs a 73.4% SWE-Bench Verified resolve rate with parallel tool calling and multi-turn support. Use it for software engineering automation across real repository tasks. Route requests through AI Gateway for access via novita, streamlake.
FAQ
73.4% resolve rate on SWE-Bench Verified, which tests autonomous resolution of real GitHub issues.
The model issues multiple tool calls in a single inference step instead of waiting for each response sequentially. That cuts latency when several operations can run at once.
KAT-Coder-Pro V1 has a context window of 256K tokens. You can fit large codebases, multi-file diffs, and extended conversation history in a single context.
Eight task types: feature implementation, feature enhancement, bug fixing, refactoring, performance optimization, test case generation, code understanding, and configuration and deployment.
Current pricing is shown on this page. AI Gateway routes across providers, and rates may vary by provider.
Open the playground at https://ai-sdk.dev/playground/novita:kwaipilot/kat-coder-pro or call the model through AI Gateway with your provider credentials.
