Meta: Muse Spark 1.2 pricing
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… Meta: Muse Spark 1.2 from OpenRouter costs $1.25 per 1M input tokens and $4.25 per 1M output tokens. Cached input is $0.150 per 1M. Context window 1,048,576 tokens.
API id meta/muse-spark-1.2 · OpenRouter · source · updated 2026-09-25 · general-purpose
$1.25
Input / 1M tokens
$4.25
Output / 1M tokens
$0.150
Cached input / 1M
1M
Context window
Meta: Muse Spark 1.2 specifications
- Provider
- OpenRouter
- API id
meta/muse-spark-1.2- Model type
- general-purpose
- Context window
- 1M tokens
- Max output
- 944K tokens
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-09-25
Tags
- vision
What Meta: Muse Spark 1.2 costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0034 |
| Document summary | 50,000 | 2,000 | $0.07 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $2.10 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does Meta: Muse Spark 1.2 cost per 1M tokens?
- Meta: Muse Spark 1.2 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens on the standard tier. Cached input is $0.150 per 1M.
- What is Meta: Muse Spark 1.2's context window?
- Meta: Muse Spark 1.2 accepts up to 1,048,576 tokens in a single request, and can return up to 943,718 output tokens.
- Is there a cheaper OpenRouter model than Meta: Muse Spark 1.2?
- Yes. OpenAI: GPT-3.5 Turbo is $0.500 per 1M input tokens versus $1.25 for Meta: Muse Spark 1.2, with a 16,385 token context window.
- Where does this Meta: Muse Spark 1.2 price come from?
- From the OpenRouter catalogue, because OpenRouter does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from OpenRouter's own — verify before committing spend.
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