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 Anthropic Claude Haiku Latest
Meta: Llama 4 Scout wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
This model always redirects to the latest model in the Anthropic Claude Haiku family.
Model details →Side-by-side comparison
| Capability | Meta: Llama 4 Scout | Anthropic Claude Haiku Latest | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.3M | 200K | 🏆 Meta: Llama 4 Scout |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $1.00 | 🏆 Meta: Llama 4 Scout |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.30 | $5.00 | 🏆 Meta: Llama 4 Scout |
| 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 | 🏆 Anthropic Claude Haiku Latest |
Frequently asked questions
Is Meta: Llama 4 Scout better than Anthropic Claude Haiku Latest?
Meta: Llama 4 Scout wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 4 Scout and Anthropic Claude Haiku Latest?
Input: $0.10 vs $1.00 per 1M tokens. Output: $0.30 vs $5.00 per 1M tokens.
What context windows do Meta: Llama 4 Scout and Anthropic Claude Haiku Latest support?
Meta: Llama 4 Scout supports up to 1.3M tokens. Anthropic Claude Haiku Latest supports up to 200K tokens.
Do both Meta: Llama 4 Scout and Anthropic Claude Haiku Latest support tool calling?
Meta: Llama 4 Scout: yes. Anthropic Claude Haiku Latest: yes.
Compare Meta: Llama 4 Scout with other models
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