GPT-4o Mini vs MiniMax M2
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | GPT-4o Mini | MiniMax M2 |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Input Price | $0.15 /1M tokens | $0.3 /1M tokens |
| Output Price | $0.6 /1M tokens | $1.2 /1M tokens |
| Cached Input | $0.075 /1M tokens | $0.030 /1M tokens |
| Context Window | 128K | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | GPT-4o Mini | MiniMax M2 |
|---|---|---|
| coding | ||
| vision | ||
| multilingual |
Which should you choose?
Budget-conscious: GPT-4o Mini is 50% cheaper on input tokens ($0.15 vs $0.3 per 1M tokens).
Context-heavy tasks: MiniMax M2 offers a larger context window (256K vs 128K), making it better for long documents or conversations.
Capability fit: GPT-4o Mini supports 3 capabilities (coding, vision, multilingual), while MiniMax M2 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: GPT-4o Mini or MiniMax M2?
GPT-4o Mini costs $0.15/1M input vs MiniMax M2 at $0.3/1M input. GPT-4o Mini is 50% cheaper on input tokens.
How do output prices compare between GPT-4o Mini and MiniMax M2?
GPT-4o Mini output: $0.6/1M, MiniMax M2 output: $1.2/1M. GPT-4o Mini is more economical for generation-heavy workloads.
What is GPT-4o Mini best used for?
GPT-4o Mini 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.