Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Model details →Google: Gemini 2.5 Pro vs Meta: Muse Spark 1.2
Meta: Muse Spark 1.2 wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | Meta: Muse Spark 1.2 | 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 | $1.25 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $4.25 | 🏆 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 Google: Gemini 2.5 Pro better than Meta: Muse Spark 1.2?
Meta: Muse Spark 1.2 wins on 1 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 2.5 Pro and Meta: Muse Spark 1.2?
Input: $1.25 vs $1.25 per 1M tokens. Output: $10.00 vs $4.25 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and Meta: Muse Spark 1.2 support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. Meta: Muse Spark 1.2 supports up to 1.0M tokens.
Do both Google: Gemini 2.5 Pro and Meta: Muse Spark 1.2 support tool calling?
Google: Gemini 2.5 Pro: yes. Meta: Muse Spark 1.2: yes.
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