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Providers

Alibaba Anthropic Cohere DeepSeek Google Meta MiniMax Mistral Moonshot AI Nvidia OpenAI Perplexity xAI Xiaomi Z.ai

Providers

Alibaba Anthropic Cohere DeepSeek Google Meta MiniMax Mistral Moonshot AI Nvidia OpenAI Perplexity xAI Xiaomi Z.ai
Xiaomi 8 params

Xiaomi Mimo V2.5 Pro parameters

These are the parameters modelparams.dev tracks for Xiaomi Mimo V2.5 Pro. 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.

Length 2 params
Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens 		integer (1…+∞) — Maximum number of tokens to generate, covering both the thinking trace and the final answer. —
Stop sequences
stop 		string — Up to a few sequences where generation stops; the stop text is not included in the output. —
Sampling 4 params
Parameter Type Default Description Condition
Temperature
temperature 		number (0…2 step 0.1) 1 Controls randomness. Lower values are more focused; higher values are more varied. Ignored while thinking is enabled, where it is forced to 1.0.
Not when thinking.type = "enabled"
Top P
top_p 		number (0…1 step 0.01) 0.95 Nucleus sampling cutoff. Ignored while thinking is enabled, where it is forced to 0.95.
Not when thinking.type = "enabled"
Presence penalty
presence_penalty 		number (-2…2 step 0.1) 0 Penalizes tokens that have already appeared, encouraging the model to introduce new topics. —
Frequency penalty
frequency_penalty 		number (-2…2 step 0.1) 0 Penalizes tokens in proportion to how often they have appeared, reducing verbatim repetition. —
Reasoning 1 param
Parameter Type Default Description Condition
Thinking mode
thinking.type 		enum (enabled | disabled) "enabled" Controls whether MiMo reasons step by step before answering. Enabled by default; set disabled to respond directly. —
Output 1 param
Parameter Type Default Description Condition
Response format
response_format.type 		enum (text | json_object) "text" Forces the response into plain text or a JSON object. —

Resources

All Xiaomi models Glossary Full catalog

Mimo V2.5 Pro — JSON

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

/api/v1/models/xiaomi/mimo-v2.5-pro.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "xiaomi",
  "authType": "api_key",
  "model": "mimo-v2.5-pro",
  "params": [
    {
      "path": "max_completion_tokens",
      "label": "Max tokens",
      "description": "Maximum number of tokens to generate, covering both the thinking trace and the final answer.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1
      }
    },
    {
      "path": "thinking.type",
      "label": "Thinking mode",
      "description": "Controls whether MiMo reasons step by step before answering. Enabled by default; set disabled to respond directly.",
      "group": "reasoning",
      "type": "enum",
      "default": "enabled",
      "values": [
        "enabled",
        "disabled"
      ]
    },
    {
      "path": "temperature",
      "label": "Temperature",
      "description": "Controls randomness. Lower values are more focused; higher values are more varied. Ignored while thinking is enabled, where it is forced to 1.0.",
      "group": "sampling",
      "applicability": {
        "except": {
          "thinking.type": "enabled"
        }
      },
      "type": "number",
      "default": 1,
      "range": {
        "min": 0,
        "max": 2,
        "step": 0.1
      }
    },
    {
      "path": "top_p",
      "label": "Top P",
      "description": "Nucleus sampling cutoff. Ignored while thinking is enabled, where it is forced to 0.95.",
      "group": "sampling",
      "applicability": {
        "except": {
          "thinking.type": "enabled"
        }
      },
      "type": "number",
      "default": 0.95,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "presence_penalty",
      "label": "Presence penalty",
      "description": "Penalizes tokens that have already appeared, encouraging the model to introduce new topics.",
      "group": "sampling",
      "type": "number",
      "default": 0,
      "range": {
        "min": -2,
        "max": 2,
        "step": 0.1
      }
    },
    {
      "path": "frequency_penalty",
      "label": "Frequency penalty",
      "description": "Penalizes tokens in proportion to how often they have appeared, reducing verbatim repetition.",
      "group": "sampling",
      "type": "number",
      "default": 0,
      "range": {
        "min": -2,
        "max": 2,
        "step": 0.1
      }
    },
    {
      "path": "stop",
      "label": "Stop sequences",
      "description": "Up to a few sequences where generation stops; the stop text is not included in the output.",
      "group": "generation_length",
      "type": "string"
    },
    {
      "path": "response_format.type",
      "label": "Response format",
      "description": "Forces the response into plain text or a JSON object.",
      "group": "output_format",
      "type": "enum",
      "default": "text",
      "values": [
        "text",
        "json_object"
      ]
    }
  ]
}

Other Xiaomi models

Mimo V2.5 5 params View Mimo V2.5 Subscription 5 params View

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 LLM 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/params/gpt-5.5.json
curl https://modelparams.dev/api/v1/params/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