MiniMax M2 vs GPT-4.1 Mini
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | MiniMax M2 | GPT-4.1 Mini |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Input Price | $0.3 /1M tokens | $0.4 /1M tokens |
| Output Price | $1.2 /1M tokens | $1.6 /1M tokens |
| Cached Input | $0.030 /1M tokens | $0.100 /1M tokens |
| Context Window | 256K | 1.0M |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | MiniMax M2 | GPT-4.1 Mini |
|---|---|---|
| coding | ||
| multilingual |
Which should you choose?
Budget-conscious: MiniMax M2 is 25% cheaper on input tokens ($0.3 vs $0.4 per 1M tokens).
Context-heavy tasks: GPT-4.1 Mini offers a larger context window (1.0M vs 256K), making it better for long documents or conversations.
Capability fit: MiniMax M2 supports 2 capabilities (coding, multilingual), while GPT-4.1 Mini supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: MiniMax M2 or GPT-4.1 Mini?
MiniMax M2 costs $0.3/1M input vs GPT-4.1 Mini at $0.4/1M input. MiniMax M2 is 25% cheaper on input tokens.
How do output prices compare between MiniMax M2 and GPT-4.1 Mini?
MiniMax M2 output: $1.2/1M, GPT-4.1 Mini output: $1.6/1M. MiniMax M2 is more economical for generation-heavy workloads.
What is MiniMax M2 best used for?
MiniMax M2 is best for budget-conscious applications, high-volume chatbots, and tasks where cost efficiency is the primary concern.
What is GPT-4.1 Mini best used for?
GPT-4.1 Mini is suited for complex reasoning, analysis, and tasks that benefit from its coding and multilingual capabilities.