Type
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
Muse Spark 1.3 and Muse Spark 1.2 side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
Meta AI Text GenerationMuse Spark 1.3 and Muse Spark 1.2 are both Meta AI models in the Text Generation category, available through the EmpirioLabs API.
| Spec | Muse Spark 1.3 | Muse Spark 1.2 |
|---|---|---|
| Model ID | muse-spark-1-3 | muse-spark-1-2 |
| Author | Meta AI | Meta AI |
| Released | Sep 2, 2026 | Aug 5, 2026 |
| Context window | 1M tokens | 1M tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Input | Text Image Video Document | Text Image Video Audio Document |
| Output | Text | Text |
| Structured output | JSON Schema | JSON Schema |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/muse-spark-1-3:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/muse-spark-1-2:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | Muse Spark 1.3 | Muse Spark 1.2 |
|---|---|---|
| max_tokens | 16 to 131072 Default: 16384 | 1 to 131072 Default: 16384 |
| temperature | 0 to 2 Default: 1 | 0 to 2 Default: 1 |
| top_p | 0.01 to 1 Default: 1 | 0.01 to 1 Default: 1 |
| reasoning_effort | minimal, low, medium, high, xhigh Default: medium | minimal, low, medium, high, xhigh Default: medium |
| tool_web_search | boolean Default: false | boolean Default: false |
| tools | array Default: [] | array Default: [] |
| tool_choice | object | object |
| parallel_tool_calls | boolean | boolean |
| response_format | enum | enum |
| presence_penalty | - | -2 to 2 Default: 0 |
| frequency_penalty | - | -2 to 2 Default: 0 |
| seed | - | integer |
Reasoning is always on and cannot be disabled. reasoning_effort accepts minimal through xhigh. On /v1/chat/completions the reasoning text is not returned; on /v1/responses you can request reasoning summaries with reasoning.summary, and reasoning tokens are billed as output tokens and count against the output budget either way. Text, image, MP4 video, and PDF inputs are supported; up to 50 images can be attached. Audio input is not supported on this checkpoint; the Muse Spark 1.1 and 1.2 checkpoints accept audio. 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.
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.
Muse Spark 1.3 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id muse-spark-1-3. Both models are called through the same endpoint. Set model to muse-spark-1-3 or muse-spark-1-2. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "muse-spark-1-3",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Muse Spark 1.3 is the newer release (Sep 2, 2026); Muse Spark 1.2 was released on Aug 5, 2026. Both models have a context window of 1M tokens. Input types only Muse Spark 1.2 accepts: Audio. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
Muse Spark 1.3 is the newer release (Sep 2, 2026); Muse Spark 1.2 was released on Aug 5, 2026.
Both models list the same rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). Both live rate cards are on this page and always match what the API charges.
Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.