Llama 4 Maverick vs MiniMax M2
Side-by-side comparison of pricing and capabilities
Llama 4 Maverick
MiniMax M2
Input Price Comparison
| Attribute | Llama 4 Maverick | MiniMax M2 |
|---|---|---|
| Provider | Meta | MiniMax |
| Input Price | $0.27 /1M tokens | $0.3 /1M tokens |
| Output Price | $0.85 /1M tokens | $1.2 /1M tokens |
| Cached Input | $0.027 /1M tokens | $0.030 /1M tokens |
| Context Window | 256K | 256K |
| Type | chat | chat |
| Status | current | current |
Capability Comparison
| Capability | Llama 4 Maverick | MiniMax M2 |
|---|---|---|
| coding | ||
| vision | ||
| multilingual |
Which should you choose?
Budget-conscious: Llama 4 Maverick is 10% cheaper on input tokens ($0.27 vs $0.3 per 1M tokens).
Context-heavy tasks: Both models offer the same context window size.
Capability fit: Llama 4 Maverick supports 2 capabilities (coding, vision), while MiniMax M2 supports 2 (coding, multilingual).
Frequently Asked Questions
Which is cheaper: Llama 4 Maverick or MiniMax M2?
Llama 4 Maverick costs $0.27/1M input vs MiniMax M2 at $0.3/1M input. Llama 4 Maverick is 10% cheaper on input tokens.
How do output prices compare between Llama 4 Maverick and MiniMax M2?
Llama 4 Maverick output: $0.85/1M, MiniMax M2 output: $1.2/1M. Llama 4 Maverick is more economical for generation-heavy workloads.
What is Llama 4 Maverick best used for?
Llama 4 Maverick 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.