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.

ChatMeta1M tokens$0.109 / $0.218 · 1M

meta/muse-spark-1.2-contributor

Context
1M tokens
Completion cap
943,718
Tools
Yes
JSON
Yes
Released
2026-08-21

Call it from Geek Hub

Same OpenAI SDK. Change the base URL and the model id.

curl https://api.geekhub.mx/v1/chat/completions \
  -H "Authorization: Bearer $GEEKHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-spark-1.2-contributor",
    "messages": [{"role": "user", "content": "Hola"}]
  }'
Get an API key

Frequently asked questions

What is 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. Muse Spark 1.2 Contributor runs on the Geek Hub API (OpenAI-compatible). Model id: meta/muse-spark-1.2-contributor.
Is Muse Spark 1.2 Contributor free?
No. Input is $0.109 per 1M tokens and output is $0.218 per 1M tokens on Geek Hub (markup included).
What is the context length of Muse Spark 1.2 Contributor?
Muse Spark 1.2 Contributor has a 1M tokens context window. It supports up to 943,718 completion tokens.
Does Muse Spark 1.2 Contributor support tool calling and structured outputs?
Muse Spark 1.2 Contributor accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
When was Muse Spark 1.2 Contributor released?
Muse Spark 1.2 Contributor was released on 2026-08-21.

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