Gemini 2.5 Flash vs MiniMax M2
Side-by-side comparison of pricing and capabilities
Input Price Comparison
| Attribute | Gemini 2.5 Flash | MiniMax M2 |
|---|---|---|
| Provider | MiniMax | |
| Input Price | $0.3 /1M tokens | $0.3 /1M tokens |
| Output Price | $2.5 /1M tokens | $1.2 /1M tokens |
| Cached Input | $0.030 /1M tokens | $0.030 /1M tokens |
| Context Window | 1.0M | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Gemini 2.5 Flash | MiniMax M2 |
|---|---|---|
| coding | ||
| vision | ||
| multilingual |
Which should you choose?
Budget-conscious: Gemini 2.5 Flash is 0% cheaper on input tokens ($0.3 vs $0.3 per 1M tokens). Both models have the same input price.
Context-heavy tasks: Gemini 2.5 Flash offers a larger context window (1.0M vs 256K), making it better for long documents or conversations.
Capability fit: Gemini 2.5 Flash supports 3 capabilities (coding, vision, multilingual), while MiniMax M2 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Gemini 2.5 Flash or MiniMax M2?
Gemini 2.5 Flash costs $0.3/1M input vs MiniMax M2 at $0.3/1M input. Gemini 2.5 Flash is 0% cheaper on input tokens.
How do output prices compare between Gemini 2.5 Flash and MiniMax M2?
Gemini 2.5 Flash output: $2.5/1M, MiniMax M2 output: $1.2/1M. MiniMax M2 is more economical for generation-heavy workloads.
What is Gemini 2.5 Flash best used for?
Gemini 2.5 Flash 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.