Mistral Small 3.1 vs Mistral 7B
Side-by-side comparison of pricing and capabilities
Mistral Small 3.1
Mistral 7B
Input Price Comparison
| Attribute | Mistral Small 3.1 | Mistral 7B |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Input Price | $0.1 /1M tokens | $0.25 /1M tokens |
| Output Price | $0.3 /1M tokens | $0.25 /1M tokens |
| Cached Input | $0.010 /1M tokens | $0.025 /1M tokens |
| Context Window | 131K | 33K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Mistral Small 3.1 | Mistral 7B |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: Mistral Small 3.1 is 60% cheaper on input tokens ($0.1 vs $0.25 per 1M tokens).
Context-heavy tasks: Mistral Small 3.1 offers a larger context window (131K vs 33K), making it better for long documents or conversations.
Capability fit: Mistral Small 3.1 supports 2 capabilities (coding, multilingual), while Mistral 7B supports 1 (multilingual).
Frequently Asked Questions
Which is cheaper: Mistral Small 3.1 or Mistral 7B?
Mistral Small 3.1 costs $0.1/1M input vs Mistral 7B at $0.25/1M input. Mistral Small 3.1 is 60% cheaper on input tokens.
How do output prices compare between Mistral Small 3.1 and Mistral 7B?
Mistral Small 3.1 output: $0.3/1M, Mistral 7B output: $0.25/1M. Mistral 7B 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 Mistral 7B best used for?
Mistral 7B is suited for complex reasoning, analysis, and tasks that benefit from its multilingual capabilities.