Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...
Model details →Meta: Muse Spark 1.3 Contributor vs Auto Router
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The Auto Router automatically selects the best model for your prompt, powered by the wisdom of the market. It routes you based on what the OpenRouter community collectively spends on...
Model details →Side-by-side comparison
| Capability | Meta: Muse Spark 1.3 Contributor | Auto Router | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 2M | 🏆 Auto Router |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $-1000000.00 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.20 | $-1000000.00 | 🏆 Auto Router |
| 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 1.3 Contributor better than Auto Router?
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Muse Spark 1.3 Contributor and Auto Router?
Input: $0.10 vs $-1000000.00 per 1M tokens. Output: $0.20 vs $-1000000.00 per 1M tokens.
What context windows do Meta: Muse Spark 1.3 Contributor and Auto Router support?
Meta: Muse Spark 1.3 Contributor supports up to 1.0M tokens. Auto Router supports up to 2M tokens.
Do both Meta: Muse Spark 1.3 Contributor and Auto Router support tool calling?
Meta: Muse Spark 1.3 Contributor: yes. Auto Router: yes.