Llama 4 Scout vs Mistral 7B
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Llama 4 Scout | Mistral 7B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Input Price | $0.17 /1M tokens | $0.25 /1M tokens |
| Output Price | $0.6 /1M tokens | $0.25 /1M tokens |
| Cached Input | $0.017 /1M tokens | $0.025 /1M tokens |
| Context Window | 10.0M | 33K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 4 Scout | Mistral 7B |
|---|---|---|
| coding | ||
| vision | ||
| multilingual |
Which should you choose?
Budget-conscious: Llama 4 Scout is 32% cheaper on input tokens ($0.17 vs $0.25 per 1M tokens).
Context-heavy tasks: Llama 4 Scout offers a larger context window (10.0M vs 33K), making it better for long documents or conversations.
Capability fit: Llama 4 Scout supports 2 capabilities (coding, vision), while Mistral 7B supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: Llama 4 Scout or Mistral 7B?
Llama 4 Scout costs $0.17/1M input vs Mistral 7B at $0.25/1M input. Llama 4 Scout is 32% cheaper on input tokens.
How do output prices compare between Llama 4 Scout and Mistral 7B?
Llama 4 Scout output: $0.6/1M, Mistral 7B output: $0.25/1M. Mistral 7B is more economical for generation-heavy workloads.
What is Llama 4 Scout best used for?
Llama 4 Scout is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Mistral 7B best used for?
Mistral 7B is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.