Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multi…
Model details →Meta: Llama 4 Maverick vs Auto Router
Auto Router wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit [Activity](/activity), or read the `model` attribute of the respon…
Model details →Side-by-side comparison
| Capability | Meta: Llama 4 Maverick | 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. | $0.15 | $-1000000.00 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $-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 | 🏆 Auto Router |
Frequently asked questions
Is Meta: Llama 4 Maverick better than Auto Router?
Auto Router wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 4 Maverick and Auto Router?
Input: $0.15 vs $-1000000.00 per 1M tokens. Output: $0.60 vs $-1000000.00 per 1M tokens.
What context windows do Meta: Llama 4 Maverick and Auto Router support?
Meta: Llama 4 Maverick supports up to 1.0M tokens. Auto Router supports up to 2M tokens.
Do both Meta: Llama 4 Maverick and Auto Router support tool calling?
Meta: Llama 4 Maverick: yes. Auto Router: yes.