Claude Sonnet 5.5

ANTHROPIC

Claude Sonnet 5.5

NewCommercial use5 credits / request

Try chat

Send multi-turn messages with the same model and gateway as production API calls.

Request parameters

OpenAI-compatible chat/completions request body fields.

FieldTypeRequired
modelstringYes
messages{ role, content }[]Yes

Output examples

Typical generation previews (actual output varies by prompt).

Preview

Preview

Features

Core capabilities for this model on the ModKie gateway.

Claude Messages integration

Claude Messages integration

Send standard chat messages through ModKie; the gateway maps the Claude response to the OpenAI chat completion format.

Pricing

Credits apply per successful chat completion.

Shared API

5 credits / request

≈ $0.03 USD ($0.01 USD/credit at pack rate)

Token-based upstream billing. Kie's API response includes credits consumed; actual cost depends on request usage.

Quickstart

Three steps from API key to your first chat completion.

  1. 1

    Create an API key

    Create a ModKie API key in Settings.

  2. 2

    Send a chat request

    Call POST /api/gateway/chat/completions with model claude-sonnet-5-5 and a messages array.

  3. 3

    Read the response

    Read choices[0].message.content from the OpenAI-compatible response.

Example chat completions request

curl -X POST https://modkie.com/api/gateway/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "provider": "kie",
  "model": "claude-sonnet-5-5",
  "messages": [
    {
      "role": "user",
      "content": "Hello, introduce yourself in one sentence."
    }
  ]
}'

Read assistant text from choices[0].message.content in the JSON response. Credits apply per successful completion.

FAQ

Why ModKie for this model

ModKie is more than API relay — deploy, fine-tune, and register custom endpoints on the same gateway.

Unified gateway

One API key and jobs contract across marketplace and self-hosted models.

Playground

Validate payloads in-browser before shipping to production.

RunPod self-host

Deploy HuggingFace or custom workers and route traffic through ModKie.

Train & register

Fine-tune vision models and register weights back into the gateway.

Deployment help

Work with our team on model landing, integration, and production rollout.

Who it's for

  • Developers — Ship features fast with Playground, docs, and predictable async billing.
  • Enterprise teams — Standardize providers behind one contract, usage dashboard, and webhooks.
  • Fine-tune & own weights — Train custom models and expose them with the same createTask flow.
Talk to a deployment specialist
Claude Sonnet 5.5 API