MiniMax M2-her

MiniMax M2-her by MiniMax excels in the Coding category, where it ranks #228 with a composite score of 59/100. 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 roles (user_system, group, sample_message_user, sample_message_ai) and can learn from example dialogue to better match the style and pacing of your scenario, making it a strong choice for storytelling, companions, and conversational experiences where natural flow and vivid interaction matter most. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

MiniMax M2-her is priced at $0.30 per million input tokens and $1.20 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, MiniMax M2-her holds rank #228 out of 6 models tracked. Its quality rank is #228 and adoption rank is #228. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

MiniMax M2-her has been evaluated across 5 different signals. Its strongest areas include Capabilities (17/100), Pricing (1/100), Context Window (76/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 59/100 reflects a weighted combination of all tracked signals.

MiniMax M2-her is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check MiniMax's website for current free tier availability and promotional offers.