Models & pricing

Clipia AI Gateway provides access to flagship language models under one contract. GET /v1/models returns the catalog in an OpenAI-compatible format; the prices below are in rubles per 1M tokens, billed separately for input (prompt) and output (the model's response).

Catalog (GET /v1/models)

models = client.models.list()
for m in models.data:
    print(m.id)

const models = await client.models.list();
for (const m of models.data) console.log(m.id);

curl https://api.clipia.ai/v1/models \
  -H "Authorization: Bearer $CLIPIA_API_KEY"

The response is a data array in OpenAI-compatible form. Each item carries an id (the string for the model field), context length, supported parameters and per-token rates:

{
  "object": "list",
  "data": [
    {
      "id": "gpt-5.6-sol",
      "object": "model",
      "name": "GPT-5.6 Sol",
      "created": 1783555200,
      "owned_by": "openai",
      "context_length": 400000,
      "architecture": {
        "modality": "text+image->text",
        "input_modalities": ["text", "image"],
        "output_modalities": ["text"],
        "tokenizer": "GPT"
      },
      "pricing": { "prompt": "0.00000499875", "completion": "0.00003" },
      "supported_parameters": [
        "tools", "tool_choice", "response_format",
        "temperature", "top_p", "max_tokens", "stop", "seed"
      ]
    }
  ]
}

In pricing, values are per single token (prompt / response); the human-readable per-1M-token prices are in the table below. Clients use supported_parameters to detect which features a model supports (tools, response_format, etc.).

Pricing

Billing is per token, separately for input and output. Charges are taken in credits from the account balance; the prices below are shown in US dollars for clarity (1M = 1,000,000 tokens).

How to choose a model

• Flagships — hard tasks. claude-fable-5, gpt-5.6-sol and claude-opus-5 for reasoning, code, agents and long context, where quality matters more than price.
• Quality/price balance. gpt-5.6-terra, claude-sonnet-4-6, gemini-3.6-flash, grok-4.5 — solid all-rounders for most product scenarios.
• Volume and low cost. gpt-5.6-luna, deepseek-v4-pro, gemini-2.5-flash, deepseek-v4-flash, gpt-5.4-nano — for classification, data extraction, bulk processing and draft answers where a low per-token cost matters.

Start with a mid-tier model, measure quality on your own data, and move up to a flagship or down to a cheaper option as needed — you only change the model string.

Model deep dives

Specs, limits, request examples and cost math for a specific model:

• Claude Opus 5 — 1,000,000-token context, for deep analysis, code and agent workloads.
• Gemini 3.6 Flash — 1,048,576-token context, multimodal input and a low per-request cost.