Meta / meta/muse-spark-1.1
Muse Spark 1.1 - access through LLMTR
Muse Spark 1.1 is the earlier checkpoint in the Muse Spark family. Its 1,048,576-token context window, image/video/PDF input, tool calling, and JSON and structured output all match 1.2, and it is billed at the same rate; 1.2 is simply an updated checkpoint with slightly higher performance. It reasons step by step before answering, and you tune that effort with `reasoning_effort` from minimal to xhigh. It suits flows whose output has already been validated against this checkpoint and that want to pin that behaviour; prefer 1.2 for new work. Reasoning tokens are returned inside `completion_tokens` and billed as output.
Technical specifications
| Canonical ID | meta/muse-spark-1.1 |
|---|---|
| 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-1.1","messages":[{"role":"user","content":"Hello"}]}'Related models
- Muse Spark 1.2 meta/muse-spark-1.2
- Llama 3.3 70B Instruct meta/llama-3.3-70b-instruct
- Muse Spark 1.2 Contributor meta/muse-spark-1.2-contributor
- Llama 3.1 8B meta/llama-3.1-8b
- Gemma 4 llmtr/gemma-4
- Qwen 3.6 35B-A3B llmtr/qwen3-6-35b
- MedGemma 4B llmtr/medgemma-4b
- Trendyol 7B llmtr/trendyol-7b