FarOut LLM Gateway – GPT-5.6-Terra Chat Completions

Name: FarOut LLM Gateway – GPT-5.6-Terra Chat Completions
Price: 0.001 USD

x402

FarOut LLM Gateway – GPT-5.6-Terra Chat Completions is a paid API for AI agents from farouter.tech, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-14).

Runs a chat completion request against GPT-5.6-Terra (or any frontier model) via pay-per-call USDC micropayment, returning an OpenAI-compatible response

Price / call$0.001

Seller volume →—

Success—

StatusUnknown

How this service works

Fixed-price chat completions for gpt-5.6-terra on FarOut: flat $0.001 per call (includes up to 4,000 input + 1,000 output tokens). Rate: $0.072/1M input tokens, $0.432/1M output tokens. Pay with USDC on Base using x402. No API key, no account, no prepaid balance.

Output

An OpenAI-compatible chat completion JSON object containing: choices array with the assistant's message content and finish_reason, plus a usage object with prompt_tokens and completion_tokens counts.

Example use cases

Autonomous agent sub-task reasoning

“I'm building an agent pipeline — have it call GPT-5.6-Terra with this system prompt 'You are a rigorous planner' and user message 'Break down the steps to launch a SaaS product', up to 800 tokens, temperature 0, paying per request without a subscription.”

Coding assistant for on-demand code generation

“Use the FarOut gateway to ask GPT-5.6-Terra to write a TypeScript async function that fetches paginated results from a REST API, max 600 tokens, temperature 0.1.”

No-account LLM call for a one-off task

“I don't have an OpenAI account — can you send a chat message to GPT-5.6-Terra through FarOut asking 'Summarize the key differences between TCP and UDP in 3 bullet points', with 300 max tokens and pay the $0.001 USDC fee per call?”

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/gpt-5.6-terra/chat/completions

When to prefer

Choose this endpoint when your agent needs on-demand LLM inference without account registration, API keys, or prepaid credit — especially in autonomous or agentic pipelines that can sign x402 USDC micropayments on Base. Prefer it over OpenAI direct when you want keyless, per-call billing, or when you need to switch between multiple frontier models (GPT, Gemini, DeepSeek, GLM, Kimi, MiniMax) through a single OpenAI-compatible interface.

Side effects

Payment rejected or insufficient USDC balance — x402 payment handshake fails, request not processed
Invalid model ID — model not found in /v1/models list returns an error
max_tokens too large — exceeds model context or quota, returns a 400-level error
Rate limiting or capacity issues on the upstream model provider side
Malformed messages array — missing required role or content fields causes validation error
Streaming SSE connection dropped mid-response if network is unstable

Input

Schema · Request body

Field	Type	Description
model	string	Model id from GET /v1/models, e.g. glm-5.3. No provider prefix.
stream	boolean	SSE streaming.
messages	array	Chat messages, [OI]-compatible {role, content}.
max_tokens	integer	Output token budget. Drives the quote directly.
temperature	number	Sampling temperature.
max_completion_tokens	integer	Alias of max_tokens (gpt-5.x models).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "usage": {
      "prompt_tokens": 6,
      "completion_tokens": 8
    },
    "choices": [
      {
        "message": {
          "role": "assistant",
          "content": "Hello! How can I help?"
        },
        "finish_reason": "stop"
      }
    ]
  }
}

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How this service works

Output

An OpenAI-compatible chat completion JSON object containing: choices array with the assistant's message content and finish_reason, plus a usage object with prompt_tokens and completion_tokens counts.

Example use cases

Autonomous agent sub-task reasoning

Coding assistant for on-demand code generation

“Use the FarOut gateway to ask GPT-5.6-Terra to write a TypeScript async function that fetches paginated results from a REST API, max 600 tokens, temperature 0.1.”

No-account LLM call for a one-off task

Technical details

Endpoint

POSThttps://farouter.tech/v1/models/gpt-5.6-terra/chat/completions

When to prefer

Side effects

Payment rejected or insufficient USDC balance — x402 payment handshake fails, request not processed
Invalid model ID — model not found in /v1/models list returns an error
max_tokens too large — exceeds model context or quota, returns a 400-level error
Rate limiting or capacity issues on the upstream model provider side
Malformed messages array — missing required role or content fields causes validation error
Streaming SSE connection dropped mid-response if network is unstable

Input

Schema · Request body

Field	Type	Description
model	string	Model id from GET /v1/models, e.g. glm-5.3. No provider prefix.
stream	boolean	SSE streaming.
messages	array	Chat messages, [OI]-compatible {role, content}.
max_tokens	integer	Output token budget. Drives the quote directly.
temperature	number	Sampling temperature.
max_completion_tokens	integer	Alias of max_tokens (gpt-5.x models).

Output

Schema · Response

{
  "type": "json",
  "example": {
    "usage": {
      "prompt_tokens": 6,
      "completion_tokens": 8
    },
    "choices": [
      {
        "message": {
          "role": "assistant",
          "content": "Hello! How can I help?"
        },
        "finish_reason": "stop"
      }
    ]
  }
}