Meta: muse-spark-1.2-contributor
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark 1.2. Your prompts and outputs may be used to improve Meta’s products, making it ideal for experimentation, learning, and early-stage projects without worry about spend. It is a reasoning model from Meta, tailored for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window. The model is built to support multi-agent workflows, whether as either a main agent that plans and delegates or as a subagent executing in parallel. It works across multiple coding harnesses and supports structured output, parallel function calling, and configurable reasoning effort. In Meta’s testing, it performs well on multi-file refactors, extended debugging sessions, whole-repository generation, and tasks that stretch well past a single prompt.
輸入將被用於供應商的自身目的
此模型至少有一家供應商將你的輸入用於其自身目的,例如訓練 AI 模型。請勿輸入第三方的個人資料或敏感資料。你可以隨時在帳戶設定中或透過聊天中的「管理同意」反對此類使用。
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所有提供方:為該模型提供服務的每個上游都支援。部分提供方:取決於處理請求的上游。預設值:未設定時傳送的值。
| 參數 | 提供方 | 預設值 |
|---|---|---|
| include_reasoning | 所有提供方 | - |
| max_tokens | 所有提供方 | - |
| reasoning | 所有提供方 | - |
| reasoning_effort | 所有提供方 | - |
| repetition_penalty | 所有提供方 | - |
| response_format | 所有提供方 | - |
| structured_outputs | 所有提供方 | - |
| temperature | 所有提供方 | - |
| tool_choice | 所有提供方 | - |
| tools | 所有提供方 | - |
| top_k | 所有提供方 | - |
| top_p | 所有提供方 | - |