Llama 3.1 8B vs Mistral Small 3.1
Side-by-side comparison of pricing and capabilities
Llama 3.1 8B
Mistral Small 3.1
Input Price Comparison
| Attribute | Llama 3.1 8B | Mistral Small 3.1 |
|---|---|---|
| Provider | Meta | Mistral AI |
| Input Price | $0.05 /1M tokens | $0.1 /1M tokens |
| Output Price | $0.08 /1M tokens | $0.3 /1M tokens |
| Cached Input | $0.0050 /1M tokens | $0.010 /1M tokens |
| Context Window | 128K | 131K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 3.1 8B | Mistral Small 3.1 |
|---|---|---|
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: Llama 3.1 8B is 50% cheaper on input tokens ($0.05 vs $0.1 per 1M tokens).
Context-heavy tasks: Mistral Small 3.1 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 Mistral Small 3.1 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Llama 3.1 8B or Mistral Small 3.1?
Llama 3.1 8B costs $0.05/1M input vs Mistral Small 3.1 at $0.1/1M input. Llama 3.1 8B is 50% cheaper on input tokens.
How do output prices compare between Llama 3.1 8B and Mistral Small 3.1?
Llama 3.1 8B output: $0.08/1M, Mistral Small 3.1 output: $0.3/1M. 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 Mistral Small 3.1 best used for?
Mistral Small 3.1 is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.