Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Model details →Google: Gemini 3.8 Flash vs Meta: Muse Spark 1.3
Google: Gemini 3.8 Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...
Model details →Side-by-side comparison
| Capability | Google: Gemini 3.8 Flash | Meta: Muse Spark 1.3 | 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. | $0.75 | $1.25 | 🏆 Google: Gemini 3.8 Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $3.75 | $4.25 | 🏆 Google: Gemini 3.8 Flash |
| 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 3.8 Flash better than Meta: Muse Spark 1.3?
Google: Gemini 3.8 Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 3.8 Flash and Meta: Muse Spark 1.3?
Input: $0.75 vs $1.25 per 1M tokens. Output: $3.75 vs $4.25 per 1M tokens.
What context windows do Google: Gemini 3.8 Flash and Meta: Muse Spark 1.3 support?
Google: Gemini 3.8 Flash supports up to 1.0M tokens. Meta: Muse Spark 1.3 supports up to 1.0M tokens.
Do both Google: Gemini 3.8 Flash and Meta: Muse Spark 1.3 support tool calling?
Google: Gemini 3.8 Flash: yes. Meta: Muse Spark 1.3: yes.