Meta / meta/muse-spark-1.2
Muse Spark 1.2 - access through LLMTR
Muse Spark 1.2 is Meta's reasoning model tuned for coding and agent workflows. Its 1,048,576-token context window holds a large codebase, a long stack of documents, or an entire multi-step tool loop in a single session. It reasons step by step before answering, and you tune that effort with `reasoning_effort` across minimal, low, medium, high, and xhigh. Alongside text it accepts image, video, and PDF input; it makes tool/function calls and produces both JSON object output and schema-conforming structured output. Repeating the same prompt can trigger a prompt-cache discount. Reasoning tokens are returned inside `completion_tokens` and billed as output.
Technical specifications
| Canonical ID | meta/muse-spark-1.2 |
|---|---|
| Provider | Meta |
| Context window | 1,048,576 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image, video |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $1.25 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.150000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $4.25 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions \
-H "Authorization: Bearer llmtr-your_key" \
-H "Content-Type: application/json" \
-d '{"model":"meta/muse-spark-1.2","messages":[{"role":"user","content":"Hello"}]}'Related models
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