Ministral 3B 24.10 vs Mistral Small 3.1
Side-by-side comparison of pricing and capabilities
Ministral 3B 24.10
Mistral Small 3.1
Input Price Comparison
| Attribute | Ministral 3B 24.10 | Mistral Small 3.1 |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Input Price | $0.04 /1M tokens | $0.1 /1M tokens |
| Output Price | $0.04 /1M tokens | $0.3 /1M tokens |
| Cached Input | $0.0040 /1M tokens | $0.010 /1M tokens |
| Context Window | 131K | 131K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Ministral 3B 24.10 | Mistral Small 3.1 |
|---|---|---|
| multilingual | ||
| coding |
Which should you choose?
Budget-conscious: Ministral 3B 24.10 is 60% cheaper on input tokens ($0.04 vs $0.1 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Ministral 3B 24.10 supports 1 capabilities (multilingual), while Mistral Small 3.1 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Ministral 3B 24.10 or Mistral Small 3.1?
Ministral 3B 24.10 costs $0.04/1M input vs Mistral Small 3.1 at $0.1/1M input. Ministral 3B 24.10 is 60% cheaper on input tokens.
How do output prices compare between Ministral 3B 24.10 and Mistral Small 3.1?
Ministral 3B 24.10 output: $0.04/1M, Mistral Small 3.1 output: $0.3/1M. Ministral 3B 24.10 is more economical for generation-heavy workloads.
What is Ministral 3B 24.10 best used for?
Ministral 3B 24.10 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.