Auto-generated comparison

Meta: Llama 4 Scout vs Mistral: Codestral 2508

Meta: Llama 4 Scout wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 4 ScoutMistral: Codestral 2508Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
328K256K🏆 Meta: Llama 4 Scout
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.08$0.30🏆 Meta: Llama 4 Scout
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.30$0.90🏆 Meta: Llama 4 Scout
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Meta: Llama 4 Scout
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Meta: Llama 4 Scout better than Mistral: Codestral 2508?

Meta: Llama 4 Scout 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 Scout and Mistral: Codestral 2508?

Input: $0.08 vs $0.30 per 1M tokens. Output: $0.30 vs $0.90 per 1M tokens.

What context windows do Meta: Llama 4 Scout and Mistral: Codestral 2508 support?

Meta: Llama 4 Scout supports up to 328K tokens. Mistral: Codestral 2508 supports up to 256K tokens.

Do both Meta: Llama 4 Scout and Mistral: Codestral 2508 support tool calling?

Meta: Llama 4 Scout: yes. Mistral: Codestral 2508: yes.

Compare Meta: Llama 4 Scout with other models

Compare Mistral: Codestral 2508 with other models