Coding and agent quality approach the frontier, with native reasoning built in, well-suited for complex planning and long-horizon professional tasks that require cross-step consistency.
| Specification | Price |
|---|---|
| Input | $3/ M tokens |
| Output | $15/ M tokens |
| Cache read | $0.3/ M tokens |
| Cache write | $3.75/ M tokens |
| Cache write 1h | $6/ M tokens |
Paste and run the sample code below. The Gate.AI API is OpenAI-compatible—most SDKs only need a new base URL. To switch models, change the model ID.
Sign in to the Gate.AI console and create a new key under "API Keys". Keep it safe and send it via the Authorization header on every request.
Create a key in the consoleSend a POST request to the Chat Completions endpoint with a model ID and an array of messages to get a reply.
curl --location "https://api.gate.ai/openai/v1/chat/completions" \
--header "Authorization: Bearer {API_KEY}" \
--header "Content-Type: application/json" \
--data '{
"model": "claude-sonnet-5",
"messages": [
{"role": "user", "content": "Hello"}
]
}'By default a full JSON response is returned. Add "stream": true to the request body to receive incremental chunks over SSE.
curl --no-buffer --location "https://api.gate.ai/openai/v1/chat/completions" \
--header "Authorization: Bearer {API_KEY}" \
--header "Content-Type: application/json" \
--data '{
"model": "claude-sonnet-5",
"messages": [
{"role": "user", "content": "Hello"}
],
"stream": true
}'Base URL, method, and required headers are rendered from the active protocol template for this model.
Create messages in Anthropic Messages API format with text, images, tools, and extended thinking.
Claude Haiku 5.5Small, fast model for high-volume, latency-sensitive summarization, subagents, and browser use, with stronger coding and computer use than the prior generation.
Claude Sonnet 5.5Sonnet-class model for well-scoped everyday work, with stronger feature building, bug fixing, and office deliverables than the prior generation, suited to responsive agentic loops.
Claude Opus 5.5Successor to Opus 5 for demanding reasoning, coding, and long-horizon agent work; excels at multi-step changes across large codebases and sustained knowledge tasks.
Claude Opus 5Flagship model for demanding reasoning, coding, and long-horizon agentic work, spanning end-to-end software, code review, parallel subagent coordination, visual analysis of charts and documents, and complex office deliverables.
Claude Fable 5Claude Fable 5 is Anthropic’s advanced long-horizon reasoning model, supporting text, image, and file inputs with text output. It features reasoning capabilities and a 1M-token context window, making it suitable for autonomous knowledge work, software development, and complex multi-step tasks.
Claude Opus 4.8Opus family flagship with reasoning. Suited for long-horizon autonomous agents, large-codebase analysis, and multimodal knowledge work.
Claude Opus 4.8 betaOpus family flagship with reasoning. Suited for long-horizon autonomous agents, large-codebase analysis, and multimodal knowledge work.
Claude Opus 4.7 betaBuilt for long-running async agents, excelling at complex multi-step tasks and end-to-end workflow execution.
Claude Opus 4.7Built for long-running async agents, excelling at complex multi-step tasks and end-to-end workflow execution.
Claude Sonnet 4.6Best balance of quality and cost from Anthropic.