Llama 3.1 8B vs Pixtral 12B
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Llama 3.1 8B | Pixtral 12B |
|---|---|---|
| Provider | Meta | Mistral AI |
| Input Price | $0.05 /1M tokens | $0.15 /1M tokens |
| Output Price | $0.08 /1M tokens | $0.15 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.015 /1M tokens |
| Context Window | 128K | 131K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 8B | Pixtral 12B |
|---|---|---|
| multilingual | ||
| vision | ||
| coding |
Which should you choose?
Budget-conscious: Llama 3.1 8B is 67% cheaper on input tokens ($0.05 vs $0.15 per 1M tokens).
Context-heavy tasks: Pixtral 12B offers a larger context window (131K vs 128K), making it better for long documents or conversations.
Capability fit: Llama 3.1 8B supports 1 capabilities (multilingual), while Pixtral 12B supports 2 (vision, coding).
Frequently Asked Questions
Which is cheaper: Llama 3.1 8B or Pixtral 12B?
Llama 3.1 8B costs $0.05/1M input vs Pixtral 12B at $0.15/1M input. Llama 3.1 8B is 67% cheaper on input tokens.
How do output prices compare between Llama 3.1 8B and Pixtral 12B?
Llama 3.1 8B output: $0.08/1M, Pixtral 12B output: $0.15/1M. Llama 3.1 8B is more economical for generation-heavy workloads.
What is Llama 3.1 8B best used for?
Llama 3.1 8B is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Pixtral 12B best used for?
Pixtral 12B is suited for complex reasoning, analysis, and tasks that benefit from its vision and coding capabilities.