​

GET /v1/models

{
  "object": "list",
  "data": [
    {
      "id": "GLM-5.2",
      "object": "model",
      "created": 0,
      "owned_by": "openference",
      "permission": [],
      "root": "GLM-5.2",
      "parent": null,
      "context_length": 850000,
      "max_output_tokens": 128000,
      "pricing": {
        "prompt": "0.00000014",
        "completion": "0.00000028"
      }
    }
  ]
}

​

Context metadata

• context_length — the model’s maximum input context window in tokens (OpenRouter-style field). Use it to configure your client’s context window setting (e.g. OpenCode limit.context, Cline “Context Window Size”) so the client doesn’t fall back to a small default and compact conversations early. This is the safe input budget — it already accounts for the model’s max_output_tokens, so input + output stays within the model’s total context wall. For example GLM-5.2 advertises context_length: 850000 and max_output_tokens: 128000 (≈ 1M total).
• max_output_tokens — the maximum completion tokens the model supports per response.

​

Pricing

• pricing.prompt — the model’s per-token price for input (prompt) tokens, as a USD string. Multiply by the usage.prompt_tokens count returned by /v1/chat/completions to get the input cost for a request.
• pricing.completion — the model’s per-token price for output (completion) tokens, as a USD string. Multiply by usage.completion_tokens for the output cost.