modelparams.dev
API MCP GitHub

Providers

Alibaba Anthropic Bedrock Cerebras Cohere DeepSeek Fireworks Google Groq Meta MiniMax Mistral Moonshot AI NVIDIA OpenAI Perplexity Thinking Machines Vertex xAI Xiaomi Z.ai

Providers

Alibaba Anthropic Bedrock Cerebras Cohere DeepSeek Fireworks Google Groq Meta MiniMax Mistral Moonshot AI NVIDIA OpenAI Perplexity Thinking Machines Vertex xAI Xiaomi Z.ai
Moonshot AI Deprecated 11 params

Moonshot AI Moonshot v1 128K API parameters

These are the API parameters modelparams.dev tracks for Moonshot AI Moonshot v1 128K — 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.

This model is deprecated. Shutdown date: 2026-08-31. Suggested replacement: moonshot/kimi-k2.6.

After the parameter count instead — how many weights Moonshot v1 128K has? That's a different number, and we don't track it. Here's the difference.

Length 3 params
Parameter Type Default Description Condition
Max completion tokens
max_completion_tokens 		integer (1…+∞) — Maximum number of tokens to generate in the chat completion. —
Stop sequence
stop 		string — Stops generation when this sequence is produced. Moonshot accepts up to 5 sequences of at most 32 bytes each. —
Number of completions
n 		integer (1…5) 1 How many chat completion choices to generate for the request. —
Sampling 4 params
Parameter Type Default Description Condition
Temperature
temperature 		number (0…1 step 0.1) 0.3 Controls randomness. Lower values make outputs more focused; higher values make them more varied. —
Top P
top_p 		number (0…1 step 0.01) 1 Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. —
Presence penalty
presence_penalty 		number (-2…2 step 0.1) 0 Penalizes tokens that have already appeared, encouraging the model to talk about new topics. —
Frequency penalty
frequency_penalty 		number (-2…2 step 0.1) 0 Penalizes tokens by how often they have appeared, reducing verbatim repetition. —
Tools 1 param
Parameter Type Default Description Condition
Tool choice
tool_choice 		enum (auto | none | required) "auto" Controls tool calling: auto lets the model decide, none blocks tool calls, and required forces one. —
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. —
Observability 2 params
Parameter Type Default Description Condition
Log probabilities
logprobs 		boolean false Controls whether the response includes log probabilities for the generated tokens. —
Top log probabilities
top_logprobs 		integer (0…20) — Number of most likely tokens to return a log probability for at each position.
Only when logprobs = true

Moonshot AI Moonshot v1 128K API parameters in brief

Moonshot AI Moonshot v1 128K documents 11 API parameters, grouped by what they control:

Frequently asked questions

Which API parameters does Moonshot AI Moonshot v1 128K support?
Moonshot AI Moonshot v1 128K accepts 11 API parameters in the request body: max_completion_tokens, stop, temperature, top_p, n, presence_penalty, and more.
What is the default temperature for Moonshot AI Moonshot v1 128K?
The default temperature for Moonshot AI Moonshot v1 128K is 0.3, within a valid range of 0 to 1.
What is the default top_p for Moonshot AI Moonshot v1 128K?
The default top_p for Moonshot AI Moonshot v1 128K is 1, within a valid range of 0 to 1.

Resources

All Moonshot AI models Glossary Full catalog

Moonshot v1 128K — JSON

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

/api/v1/models/moonshot/moonshot-v1-128k.json 
{
  "$schema": "https://modelparams.dev/api/v1/schema.json",
  "provider": "moonshot",
  "authType": "api_key",
  "model": "moonshot-v1-128k",
  "status": "deprecated",
  "replacement": "moonshot/kimi-k2.6",
  "shutdownOn": "2026-08-31",
  "params": [
    {
      "path": "max_completion_tokens",
      "label": "Max tokens",
      "description": "Maximum number of tokens to generate in the chat completion.",
      "group": "generation_length",
      "type": "integer",
      "range": {
        "min": 1
      }
    },
    {
      "path": "stop",
      "label": "Stop sequence",
      "description": "Stops generation when this sequence is produced. Moonshot accepts up to 5 sequences of at most 32 bytes each.",
      "group": "generation_length",
      "type": "string"
    },
    {
      "path": "temperature",
      "label": "Temperature",
      "description": "Controls randomness. Lower values make outputs more focused; higher values make them more varied.",
      "group": "sampling",
      "type": "number",
      "default": 0.3,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.1
      }
    },
    {
      "path": "top_p",
      "label": "Top P",
      "description": "Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability.",
      "group": "sampling",
      "type": "number",
      "default": 1,
      "range": {
        "min": 0,
        "max": 1,
        "step": 0.01
      }
    },
    {
      "path": "n",
      "label": "Number of completions",
      "description": "How many chat completion choices to generate for the request.",
      "group": "generation_length",
      "type": "integer",
      "default": 1,
      "range": {
        "min": 1,
        "max": 5
      }
    },
    {
      "path": "presence_penalty",
      "label": "Presence penalty",
      "description": "Penalizes tokens that have already appeared, encouraging the model to talk about 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 by how often they have appeared, reducing verbatim repetition.",
      "group": "sampling",
      "type": "number",
      "default": 0,
      "range": {
        "min": -2,
        "max": 2,
        "step": 0.1
      }
    },
    {
      "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"
      ]
    },
    {
      "path": "tool_choice",
      "label": "Tool choice",
      "description": "Controls tool calling: auto lets the model decide, none blocks tool calls, and required forces one.",
      "group": "tooling",
      "type": "enum",
      "default": "auto",
      "values": [
        "auto",
        "none",
        "required"
      ]
    },
    {
      "path": "logprobs",
      "label": "Log probabilities",
      "description": "Controls whether the response includes log probabilities for the generated tokens.",
      "group": "observability",
      "type": "boolean",
      "default": false
    },
    {
      "path": "top_logprobs",
      "label": "Top log probabilities",
      "description": "Number of most likely tokens to return a log probability for at each position.",
      "group": "observability",
      "applicability": {
        "only": {
          "logprobs": true
        }
      },
      "type": "integer",
      "range": {
        "min": 0,
        "max": 20
      }
    }
  ]
}

Other Moonshot AI models

Kimi K2.5 7 params View Kimi K2.6 8 params View Kimi K2.6 Subscription 4 params View Kimi K2.7 Code 7 params View Kimi K2.7 Code Subscription 3 params View Kimi K2.7 Code Highspeed 7 params View Kimi K2.7 Code Highspeed Subscription 3 params View Kimi K3 6 params View Moonshot v1 32K 11 params View Moonshot v1 8K 11 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 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