Mistral Small 3.1 vs Llama 3.1 70B
Side-by-side comparison of pricing and capabilities
Mistral Small 3.1
Llama 3.1 70B
Input Price Comparison
| Attribute | Mistral Small 3.1 | Llama 3.1 70B |
|---|---|---|
| Provider | Mistral AI | Meta |
| Input Price | $0.1 /1M tokens | $0.23 /1M tokens |
| Output Price | $0.3 /1M tokens | $0.4 /1M tokens |
| Cached Input | $0.010 /1M tokens | $0.023 /1M tokens |
| Context Window | 131K | 128K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Mistral Small 3.1 | Llama 3.1 70B |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: Mistral Small 3.1 is 57% cheaper on input tokens ($0.1 vs $0.23 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: Mistral Small 3.1 supports 2 capabilities (coding, multilingual), while Llama 3.1 70B supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Mistral Small 3.1 or Llama 3.1 70B?
Mistral Small 3.1 costs $0.1/1M input vs Llama 3.1 70B at $0.23/1M input. Mistral Small 3.1 is 57% cheaper on input tokens.
How do output prices compare between Mistral Small 3.1 and Llama 3.1 70B?
Mistral Small 3.1 output: $0.3/1M, Llama 3.1 70B output: $0.4/1M. Mistral Small 3.1 is more economical for generation-heavy workloads.
What is Mistral Small 3.1 best used for?
Mistral Small 3.1 is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is Llama 3.1 70B best used for?
Llama 3.1 70B is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.