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Models

Lyria 3 Pro Preview

By Google. Unknown parameters, a context window of 1,048,576 tokens, licence Unknown.

Facts

Released
2026-03-25 the release date models.dev records models.dev, read
Licence
Unknown
Open weights
No models.dev records whether the weights are open models.dev, read
Parameters
Unknown
Active parameters
Unknown
Knowledge cutoff
Unknown
Context window
  • 1,048,576 tokens the context length OpenRouter lists OpenRouter, read
  • 1,048,576 tokens the context limit models.dev records for the maker's own API models.dev, read
Longest output
  • 65,536 tokens the largest output OpenRouter's first provider allows OpenRouter, read
  • 65,536 tokens the output limit models.dev records for the maker's own API models.dev, read
Tool calling
  • No OpenRouter does not list tools among the supported parameters OpenRouter, read
  • No models.dev records tool_call as false models.dev, read
Structured output
  • Yes OpenRouter lists response_format, a JSON mode, among the supported parameters OpenRouter, read
  • No models.dev records structured_output as false models.dev, read
Reasoning controls
  • No models.dev records reasoning as false models.dev, read
Inputs and outputs
text, image in, text, audio out OpenRouter, read
Good for
  • Vision: OpenRouter lists images among its inputs OpenRouter, read

Prices

Prices in US dollars per million tokens, as each source lists them
ProviderInputOutputContextAs ofSource
Google direct0 USD0 USD1,048,576 older than 30 days; check the providermodels.dev, read
Google AI Studio through OpenRouter0 USD0 USD1,048,576OpenRouter endpoints, read

Run it on your own hardware

No source lists weight files or a parameter count for this model, so its memory needs are Unknown.

Use it from your harness

Set up for Google Gemini API with the model lyria-3-pro-preview. Each endpoint page has the same setup for its own address.

OpenCode

Put this in opencode.json in your project folder:

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "google": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Google Gemini API",
      "options": {
        "baseURL": "https://generativelanguage.googleapis.com/v1beta/openai",
        "apiKey": "{env:GEMINI_API_KEY}"
      },
      "models": {
        "lyria-3-pro-preview": {
          "name": "Lyria 3 Pro Preview",
          "limit": {
            "context": 1048576,
            "output": 65536
          }
        }
      }
    }
  }
}
  • OpenCode reads any OpenAI-compatible address through the @ai-sdk/openai-compatible package, and an address that speaks the Responses API through @ai-sdk/openai.

From OpenCode documentation, read .

Pi

Put this in ~/.pi/agent/models.json:

{
  "providers": {
    "google": {
      "baseUrl": "https://generativelanguage.googleapis.com/v1beta/openai",
      "api": "openai-completions",
      "apiKey": "$GEMINI_API_KEY",
      "models": [
        {
          "id": "lyria-3-pro-preview"
        }
      ]
    }
  }
}
  • The apiKey field can name an environment variable as $NAME.

From Pi documentation, read .

Codex

Codex speaks only the Responses API, and Google Gemini API documents no Responses address. A gateway that offers one can sit in between.

  • Codex speaks the Responses API only: responses is the one supported wire API of a custom provider. Ollama and LM Studio are built in and start with --oss.

From Codex documentation, read .

Claude Code

Claude Code sends Anthropic Messages requests, and Google Gemini API documents no such address. A gateway that translates to that API can sit in between.

  • Claude Code sends Anthropic Messages requests to ANTHROPIC_BASE_URL. Anthropic says it does not support routing Claude Code to models other than Claude through any gateway, so some features may not work with another model.

From Claude Code documentation, read .

Other ways to reach it