Bonus: Top up now and we'll double your first deposit — get x2 credits instantly.
Get Started
Sign Up
Sign Up

KAT-Coder-Pro V2

KAT-Coder-Pro V2 is Kwaipilot's second-generation flagship agentic coding model with a 256K-token context window, optimized for complex software engineering and large-codebase tasks.

Start Using API

What is KAT-Coder-Pro V2?

KAT-Coder-Pro V2 is Kwaipilot’s high-performance agentic coding large language model with a 256K-token context window and up to 256K output tokens. It is primarily used for complex enterprise software engineering tasks such as multi-file editing, issue resolution, test generation, and large-codebase refactoring. It also powers agentic workflows involving multi-system coordination, SaaS integration, and tool-augmented coding assistants. The model is part of Kwaipilot’s KAT / KAT-Coder series and succeeds earlier releases like KAT-Coder Pro V1.

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Provider Input Output Cache read /M Latency Throughput Uptime
Kwaipilot ~$0.80 ~$1.60 — ~220ms ~35 tps ~99.9%
OpenAI (o3-mini / GPT-4.1-like for coding) ~$1.25 ~$5.00 — ~300ms ~40 tps 99.9%
Anthropic (Claude Sonnet for coding) ~$3.00 ~$15.00 — ~280ms ~30 tps ~99.9%
Google (Gemini 2.0 Pro for code) ~$1.00 ~$4.00 — ~260ms ~35 tps ~99.9%

Try this model

Test KAT-Coder-Pro V2 right here — free to start.

KAT-Coder-Pro V2
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call the model through the OpenAI-compatible API.

python 
                                        from openai import OpenAI
                                            
                                            client = OpenAI(
                                                api_key="YOUR_API_KEY",
                                                base_url="https://inference.example.com/v1"
                                            )
                                            
                                            response = client.chat.completions.create(
                                                model="kwaipilot/kat-coder-pro-v2",
                                                messages=[
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ],
                                            )
                                            
                                            print(response.to_json())
                                        
                                    
                                        {
                                                "model": "kwaipilot/kat-coder-pro-v2",
                                                "messages": [
                                                    {
                                                        "role": "user",
                                                        "content": "Describe this image in one sentence."
                                                    }
                                                ]
                                            }

5 Core Capabilities

  • Advanced Code Generation

    Generates high-quality code for complex, enterprise-grade software engineering tasks, including multi-repo systems and modern SaaS integrations.

  • Agentic Coding Workflows

    Supports tool use and function calling for agentic coding, enabling multi-step planning, execution, and automated debugging across codebases.

  • Long-Context Comprehension

    Handles up to 256K tokens, enabling understanding and modification of very large projects, logs, and specifications in a single session.

  • Structured Tool Outputs

    Produces structured JSON and function-call outputs, making it suitable for integration into developer tools, CI pipelines, and IDE extensions.

  • Classification and Analysis

    Performs code and text classification, labeling, and structured analysis to support code review, refactoring suggestions, and repository triage.

6 Most Valuable Use Cases

  • Enterprise Code Refactoring
  • Agentic Debugging Workflows
  • Multi-System Integration Agents
  • SaaS Backend Automation
  • Frontend UI Scaffolding
  • CLI Tools Generation

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Unified AI Routing

    Dynamically route each request to the best model across providers based on latency, quality, and cost—without changing your code or integration logic.

    One endpoint, any model

  • Cost-Aware Orchestration

    Automatically balance premium and budget models with policy-based controls so you stay within budget while preserving response quality for critical workloads.

    Optimize spend by design

  • Resilient Fallbacks

    Configure multi-provider fallbacks that trigger on errors, timeouts, or quality thresholds so your application keeps working even when a model or region fails.

    No single point of failure

  • End-to-End Observability

    Get deep traces, metrics, and structured logs for every request—across models and providers—to debug failures, tune prompts, and enforce SLAs with confidence.

    See every token, everywhere

  • Task-Level Abstractions

    Describe what you need—chat, generation, tools, RAG, or structured outputs—and let LLM.API choose and orchestrate the right models behind a stable interface.

    Program to tasks, not models

  • High-Throughput Batching

    Submit large batches of requests through a single API call with smart concurrency, retries, and rate-limit handling to maximize throughput across providers.

    Scale workloads effortlessly

When to Use — When NOT to Use

Use it if...

  • You need a specialized code model for generating Python, Java, or TypeScript functions.
  • You need rapid code completion and inline suggestions inside an IDE-like development environment.
  • You need to refactor medium-sized codebases with consistent style and improved readability.
  • Your use case involves generating boilerplate for web backends, APIs, and microservices scaffolding.
  • Your use case involves converting business requirements into implementation-ready method stubs and interfaces.
  • You need help writing unit tests and basic integration tests for existing code.
  • Your use case involves adding comments and documentation blocks to otherwise uncommented source files.

Avoid if...

  • You need state-of-the-art general-purpose reasoning across arbitrary non-code documents and modalities.
  • You need guaranteed compliance features like PII redaction, legal review, or regulated-industry certifications.
  • Your workload requires detailed domain-specific math proofs, theorem solving, or symbolic computation capabilities.
  • Your workload requires multimodal inputs like images, audio, or PDFs combined with code understanding.
  • You need very long-context analysis of massive monorepos beyond typical context window limitations.
  • Your workload requires on-device or edge inference where model size and memory are tightly constrained.
  • You need enterprise-grade fine-tuning support, tools ecosystem, and vendor guarantees already battle-tested at scale.

Frequently Asked Questions

  • What is KAT-Coder-Pro V2?

    KAT-Coder-Pro V2 is a Kwaipilot code-generation and code-assistant model optimized for software development workflows and integration via LLM.API.

  • What is KAT-Coder-Pro V2 best suited for?

    KAT-Coder-Pro V2 is best for generating, refactoring, and explaining code, plus creating tests and fixing bugs across common programming languages.

  • How is KAT-Coder-Pro V2 priced on LLM.API?

    KAT-Coder-Pro V2 uses token-based billing on LLM.API; check the KAT-Coder-Pro V2 pricing table for current input and output rates.

  • What context window does KAT-Coder-Pro V2 support?

    KAT-Coder-Pro V2 supports a large context window suitable for multi-file code snippets and extended conversations; see the model specs for exact token limits.

  • How fast is KAT-Coder-Pro V2 in terms of latency and throughput?

    KAT-Coder-Pro V2 is tuned for interactive coding, typically returning first tokens in under a second under normal LLM.API load conditions.

  • What input and output modalities does KAT-Coder-Pro V2 support?

    KAT-Coder-Pro V2 is a text-only model that accepts plain text prompts and returns text completions, including formatted code blocks.

  • How do I call KAT-Coder-Pro V2 through the LLM.API gateway?

    Use the standard LLM.API chat or completion endpoint and specify the model identifier "KAT-Coder-Pro V2" in your request payload.

  • How does KAT-Coder-Pro V2 compare to other coding models on LLM.API?

    KAT-Coder-Pro V2 targets strong code quality and debugging assistance at a mid-range cost, making it competitive with mainstream proprietary coding models.

  • What are the main limitations of KAT-Coder-Pro V2?

    KAT-Coder-Pro V2 cannot access your private repositories or runtime environment and may produce syntactically correct but logically flawed or insecure code.

  • Does KAT-Coder-Pro V2 support long-running or streaming responses?

    Yes, KAT-Coder-Pro V2 supports streaming responses via LLM.API, allowing incremental token delivery for large code generations.

COMPARE

Competitive Models

Get one key to every model

Swap your API key. Keep your code.

Start for free Talk to sales