Mistral: Devstral Small 1.1 vs Meta: Llama 4 Scout
Head-to-head API cost, context, and performance comparison. Synced at 2:31:02 PM.
Executive Summary
When evaluating Mistral: Devstral Small 1.1 against Meta: Llama 4 Scout, 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, Meta: Llama 4 Scout leads with a statistical ELO score of 1059. For tasks involving complex logic, coding, or instruction-following, developers might prefer Meta: Llama 4 Scout, 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 Mistral: Devstral Small 1.1 cheaper than Meta: Llama 4 Scout?
No. Meta: Llama 4 Scout is the more cost-effective model, operating at a lower price point per 1 million tokens.
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.