modelparams.dev
OpenAI Subscription 3 params

OpenAI GPT-5.4 Mini (subscription) API parameters

These are the API parameters modelparams.dev tracks for OpenAI GPT-5.4 Mini when you reach it through a subscription rather than an API key — the settings you send in a request. Each row gives the type, default, valid range or values, and the conditions that gate it. It's the same data the JSON API serves.

After the parameter count instead — how many weights GPT-5.4 Mini has? That's a different number, and we don't track it. Here's the difference.

Reasoning 2 params
Parameter Type Default Description Condition
Reasoning effort
reasoning.effort
enum (minimal | low | medium | high | xhigh) "medium" Controls how much reasoning the model should perform before producing an answer. —
Reasoning summary
reasoning.summary
enum (auto | concise | detailed | none) "auto" Controls the level of reasoning summary returned with the response. —
Output 1 param
Parameter Type Default Description Condition
Verbosity
text.verbosity
enum (low | medium | high) "medium" Controls how concise or detailed the model's final text response should be. —

OpenAI GPT-5.4 Mini API parameters in brief

OpenAI GPT-5.4 Mini via subscription documents 3 API parameters, grouped by what they control:

Frequently asked questions

Which API parameters does OpenAI GPT-5.4 Mini (subscription) support?
OpenAI GPT-5.4 Mini (subscription) accepts 3 API parameters in the request body: reasoning.effort, reasoning.summary, text.verbosity.

Resources

All OpenAI models Glossary Full catalog

GPT-5.4 Mini — JSON

The full model definition as served by the API. Copy it or open the endpoint directly.

{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "openai",
  "authType": "subscription",
  "model": "gpt-5.4-mini",
  "status": "active",
  "params": [
    {
      "path": "reasoning.effort",
      "label": "Reasoning effort",
      "description": "Controls how much reasoning the model should perform before producing an answer.",
      "group": "reasoning",
      "type": "enum",
      "default": "medium",
      "values": [
        "minimal",
        "low",
        "medium",
        "high",
        "xhigh"
      ]
    },
    {
      "path": "reasoning.summary",
      "label": "Reasoning summary",
      "description": "Controls the level of reasoning summary returned with the response.",
      "group": "reasoning",
      "type": "enum",
      "default": "auto",
      "values": [
        "auto",
        "concise",
        "detailed",
        "none"
      ]
    },
    {
      "path": "text.verbosity",
      "label": "Verbosity",
      "description": "Controls how concise or detailed the model's final text response should be.",
      "group": "output_format",
      "type": "enum",
      "default": "medium",
      "values": [
        "low",
        "medium",
        "high"
      ]
    }
  ]
}

Other OpenAI models

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How to use

Building with an AI agent? Hit Copy to grab this whole guide as Markdown and paste it in — or point your agent straight at /llms.txt.

modelparams.dev is an open, community-maintained catalog of model parameters. Each entry shows the knobs you can turn — type, default, range, and the conditions that gate it.

The same model accessed via an API key and via a subscription usually exposes a different set of parameters. We list both as separate entries so the data stays honest.

Catalog API

The full catalog is static JSON, CORS-enabled, served from the edge.

curl https://modelparams.dev/api/v1/models.json

Each entry is keyed by provider/model for API-key variants; subscription variants append -subscription.

If you only need the params for one model contract, use the providerless endpoint. Subscription contracts are model slugs with -subscription.

curl https://modelparams.dev/api/v1/models/openai/gpt-5.5.json
curl https://modelparams.dev/api/v1/models/openai/gpt-5.5-subscription.json

Single model

curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7.json
curl https://modelparams.dev/api/v1/models/anthropic/claude-opus-4-7-subscription.json

JSON Schema

Every entry validates against a JSON Schema you can use in your editor or pipeline.

curl https://modelparams.dev/api/v1/schema.json

Add this header to any YAML you author for autocomplete in VS Code:

# yaml-language-server: $schema=https://modelparams.dev/api/v1/schema.json

Logos

Provider logos are available at /assets/logos/{provider}.svg where {provider} is the provider slug. They use currentColor so they inherit your text color.

curl https://modelparams.dev/assets/logos/anthropic.svg

Logos are sourced from the models.dev repo (MIT) and used under nominative fair use.

Contribute

The data lives in YAML under models/{provider}/{model}-{auth}.yaml in the GitHub repo. Open a PR; CI validates against the schema and rebuilds.

Edit on GitHub MIT licensed