Mistral Small 3.1 vs MiniMax M2
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Mistral Small 3.1 | MiniMax M2 |
|---|---|---|
| Provider | Mistral AI | MiniMax |
| Input Price | $0.1 /1M tokens | $0.3 /1M tokens |
| Output Price | $0.3 /1M tokens | $1.2 /1M tokens |
| Cached Input | $0.010 /1M tokens | $0.030 /1M tokens |
| Context Window | 131K | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Mistral Small 3.1 | MiniMax M2 |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: Mistral Small 3.1 is 67% cheaper on input tokens ($0.1 vs $0.3 per 1M tokens).
Context-heavy tasks: MiniMax M2 offers a larger context window (256K vs 131K), making it better for long documents or conversations.
Capability fit: Mistral Small 3.1 supports 2 capabilities (coding, multilingual), while MiniMax M2 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Mistral Small 3.1 or MiniMax M2?
Mistral Small 3.1 costs $0.1/1M input vs MiniMax M2 at $0.3/1M input. Mistral Small 3.1 is 67% cheaper on input tokens.
How do output prices compare between Mistral Small 3.1 and MiniMax M2?
Mistral Small 3.1 output: $0.3/1M, MiniMax M2 output: $1.2/1M. 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 MiniMax M2 best used for?
MiniMax M2 is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.