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...
Model details →Meta: Muse Spark 1.2 vs Google Gemini Pro Latest
Meta: Muse Spark 1.2 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This model always redirects to the latest model in the Google Gemini Pro family.
Model details →Side-by-side comparison
| Capability | Meta: Muse Spark 1.2 | Google Gemini Pro Latest | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $2.00 | 🏆 Meta: Muse Spark 1.2 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $4.25 | $12.00 | 🏆 Meta: Muse Spark 1.2 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Meta: Muse Spark 1.2 better than Google Gemini Pro Latest?
Meta: Muse Spark 1.2 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Muse Spark 1.2 and Google Gemini Pro Latest?
Input: $1.25 vs $2.00 per 1M tokens. Output: $4.25 vs $12.00 per 1M tokens.
What context windows do Meta: Muse Spark 1.2 and Google Gemini Pro Latest support?
Meta: Muse Spark 1.2 supports up to 1.0M tokens. Google Gemini Pro Latest supports up to 1.0M tokens.
Do both Meta: Muse Spark 1.2 and Google Gemini Pro Latest support tool calling?
Meta: Muse Spark 1.2: yes. Google Gemini Pro Latest: yes.
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