Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...
Model details →Meta: Llama 4 Scout vs OpenAI: GPT-4.1 Nano (batch)
OpenAI: GPT-4.1 Nano (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Model details →Side-by-side comparison
| Capability | Meta: Llama 4 Scout | OpenAI: GPT-4.1 Nano (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.3M | 1.0M | 🏆 Meta: Llama 4 Scout |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.05 | 🏆 OpenAI: GPT-4.1 Nano (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $0.20 | 🏆 OpenAI: GPT-4.1 Nano (batch) |
| 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. | — | — | Tie |
Frequently asked questions
Is Meta: Llama 4 Scout better than OpenAI: GPT-4.1 Nano (batch)?
OpenAI: GPT-4.1 Nano (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 4 Scout and OpenAI: GPT-4.1 Nano (batch)?
Input: $0.10 vs $0.05 per 1M tokens. Output: $0.30 vs $0.20 per 1M tokens.
What context windows do Meta: Llama 4 Scout and OpenAI: GPT-4.1 Nano (batch) support?
Meta: Llama 4 Scout supports up to 1.3M tokens. OpenAI: GPT-4.1 Nano (batch) supports up to 1.0M tokens.
Do both Meta: Llama 4 Scout and OpenAI: GPT-4.1 Nano (batch) support tool calling?
Meta: Llama 4 Scout: yes. OpenAI: GPT-4.1 Nano (batch): yes.
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