Model comparison
MiniMax M1 vs MiniMax M2
Compare MiniMax M1 and MiniMax M2: input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
Minimax
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture pa
Minimax
MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it de
| Metric | MiniMax M1 | MiniMax M2 |
|---|---|---|
| Provider | Minimax | Minimax |
| Context window | 1,000,000 | 204,800 |
| Input $/Mtok | $0.400 | $0.255 |
| Output $/Mtok | $2.20 | $1.02 |
| Modalities | text | text |
| License | closed | open-weights |
Quick take
On input price, MiniMax M2 is cheaper at $0.255/Mtok. For context window, MiniMax M1 leads with 1,000,000 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.