Meta: Llama 4 Scout vs Mistral: Devstral Small 1.1
Head-to-head API cost, context, and performance comparison. Synced at 5:02:07 PM.
Executive Summary
When evaluating Meta: Llama 4 Scout against Mistral: Devstral Small 1.1, the pricing structure is a key differentiator. Meta: Llama 4 Scout is approximately 5% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Mistral: Devstral Small 1.1 leads with a statistical ELO score of 1059. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Devstral Small 1.1, provided their budget allows for the API burn rate.
Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Meta: Llama 4 Scout wins out aggressively in pricing.
People Also Ask
Is Meta: Llama 4 Scout cheaper than Mistral: Devstral Small 1.1?
Yes. Meta: Llama 4 Scout is cheaper for both input and output generation compared to Mistral: Devstral Small 1.1. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The Meta: Llama 4 Scout model has the advantage in memory, offering a massive 327,680 token limit for document ingestion.