> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.empiriolabs.ai/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.empiriolabs.ai/_mcp/server. # Muse Spark 1.2 > Meta's updated frontier reasoning model with a 1,048,576-token context, image, video, audio, and PDF understanding, web search, and tool calling. ![Muse Spark 1.2](https://media.empiriolabs.ai/model-logos/muse-spark-1-1.png) [Meta AI](/providers/meta) · Text Generation `POST /v1/chat/completions` Meta's updated frontier reasoning model with a 1,048,576-token context, image, video, audio, and PDF understanding, web search, and tool calling. ## At a glance | Field | Value | | ------------------- | --------------------------------------------------------------------------------------------------------------------------------------------- | | Model id | `muse-spark-1-2` | | Model release date | 2026-08-05 | | Input modalities | Text, Image, Video, Audio, Document | | Output modalities | Text | | Context window | 1M | | Weight precision | - | | Max output tokens | 131,072 | | Features | reasoning, multimodal, video\_understanding, function\_calling, structured\_output, web\_search, cache, audio\_input, document\_understanding | | Native inference | No | | New | Yes | | Structured output | JSON Schema | | Supported endpoints | `POST /v1/chat/completions`, `POST /v1/responses`, `POST /v1/messages`, `POST /v1beta/models/muse-spark-1-2:generateContent` | | Alternate model ids | `muse-spark-1.2`, `meta/muse-spark-1-2`, `meta/muse-spark-1.2` | ## Pricing | Charge | Spec | Rate | | ------------------- | -------------------------- | --------- | | Input | per 1M prompt tokens | \$1.25 | | Output | per 1M generated tokens | \$4.25 | | Implicit cache read | per 1M cached input tokens | \$1.00 | | Web search | per search query | \$0.00825 | ## Example request ```bash curl https://api.empiriolabs.ai/v1/chat/completions \ -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \ -H 'Content-Type: application/json' \ -d '{"model": "muse-spark-1-2", "messages": [{"role":"user","content":"Hello"}]}' ``` ## Parameters | Parameter | Type | Required | Default | Description | | --------------------- | ------- | -------- | ---------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | `max_tokens` | integer | no | `16384` | Maximum number of output tokens to generate. Reasoning tokens count against this budget. · Range: 1 – 131072 | | `temperature` | number | no | `1` | Controls randomness. Lower values make responses more deterministic. · Range: 0 – 2 | | `top_p` | number | no | `1` | Nucleus sampling cutoff. · Range: 0.01 – 1 | | `presence_penalty` | number | no | `0` | Penalizes tokens that already appeared, encouraging new topics. · Range: -2 – 2 | | `frequency_penalty` | number | no | `0` | Penalizes frequent tokens, reducing repetition. · Range: -2 – 2 | | `seed` | integer | no | - | Random seed for more reproducible sampling. | | `reasoning_effort` | enum | no | `"medium"` | Reasoning is always on; this sets how much effort the model spends before answering. Higher effort uses more reasoning tokens. Reasoning text is not returned in responses. · Allowed: `minimal`, `low`, `medium`, `high`, `xhigh` | | `tool_web_search` | boolean | no | false | Enable built-in web search with cited sources. Adds \$0.00825 per executed search query; a single request can run more than one search. | | `tools` | array | no | `[]` | OpenAI-compatible function and custom tool definitions. On /v1/responses, tool\_search and defer\_loading can discover deferred tools. | | `tool_choice` | object | no | - | OpenAI-compatible tool choice control. This model supports auto and none. | | `parallel_tool_calls` | boolean | no | true | Allow the model to request multiple function tools in one response. | | `response_format` | enum | no | - | Return structured JSON output. JSON mode returns any valid JSON object; JSON Schema mode enforces an exact schema. | ## Notes Reasoning is always on and cannot be disabled. Reasoning stays internal, and reasoning tokens are billed as output tokens and count against max\_tokens. reasoning\_effort accepts minimal through xhigh. Text, image, MP4 video, MP3/WAV audio, and PDF inputs are supported; up to 50 images can be attached. PDFs use text from the first 100 pages and page images from the first 50 pages. Built-in web search adds \$0.00825 per executed search query and reports the count in usage.tool\_usage. OpenAI Responses requests also support custom tools and deferred tool search. tool\_choice supports auto and none. Prompts and completions sent to this Standard checkpoint are not used by Meta to train its models. **Per-tool billing (`usage.tool_usage`)** When this model invokes tools inside a single request, the response carries a normalized `usage.tool_usage` map alongside the token counts. The example below shows the shape. Exact field names, units, and which tools appear can vary by tool: ```json "usage": { "prompt_tokens": 123, "completion_tokens": 456, "cost_usd": 0.0042, "tool_usage": {"web_search": 3} } ``` The tool counts are already factored into `cost_usd` and are surfaced so you can audit per-tool billing. The field is omitted when no billed tool was invoked. --- *Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/muse-spark-1-2`.