MiniMax M1 vs MiniMax M2-her
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MiniMax M1 and MiniMax M2-her.
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 paired with a custom "lightning attention" mechanism, allowing it...
MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...
Technical Specifications
| Specification | MiniMax M1 | MiniMax M2-her |
|---|---|---|
| Provider | MiniMax | MiniMax |
| Context Window | 1,000,000 tokens | 65,536 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2026-01-23 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M1
$0.40
MiniMax M2-her
$0.30
Output Price per Million Tokens
MiniMax M1
$2.20
MiniMax M2-her
$1.20
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
MiniMax M2-her Quirks & Gotchas
No developer gotchas reported.