Muse Spark 1.2 via the Tokenator API
What the model is for
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, 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.
Specification
| Full name | Muse Spark 1.2 |
| API ID | muse-spark-1.2 |
| Model vendor | Meta |
| Type | Text model (chat / completions) |
| Context window | 1.05M tokens |
| Max output | 128K tokens |
| Image input | yes |
| Tokenator usage multiplier | 9× |
| Input modalities | text, image, audio, video, file |
| Aliases | cursor-muse-spark-1.2 |
| Supported API formats | /v1/chat/completions /v1/responses /v1/messages |
| Upstream providers | 1 |
| Current status | available |
| Data updated | 2026-08-23 |
Benchmarks
| Intelligence index | 56.8 |
| Coding index | 72.2 |
| Agentic index | 49.3 |
Artificial Analysis data loaded into the catalog for this model.
Upstream providers
| Provider | Multiplier |
|---|---|
| Unified LLM API | 9× |
A request goes to the first available provider by priority; if it fails, Tokenator switches to the next one.
Example request
curl https://api.tokenator.top/v1/chat/completions \ -H "Authorization: Bearer sk-your-tokenator-key" \ -H "Content-Type: application/json" \ -d '{ "model": "muse-spark-1.2", "messages": [{"role": "user", "content": "Hello"}] }'
Compatible tools
The model can be used in any tool that accepts a custom base URL: Claude Code, Codex CLI, OpenCode, Cursor, Cline, Kilo Code, Cherry Studio, OpenClaw.
See also
FAQ about Muse Spark 1.2
What is the API ID of Muse Spark 1.2?
muse-spark-1.2 — put this into the model field of your request.
What context window does Muse Spark 1.2 have?
1.05M tokens; max output is 128K tokens.
How many tokens will a request cost?
(input + output) × 9×. See the documentation for details.
Which tools support this model?
Any tool that accepts a custom base URL: Claude Code, Codex CLI, OpenCode, Cursor, Cline, Kilo Code. Setup guides are in the integrations section.