MiniMax M2-her

MiniMax M2-her by MiniMax excels in the Coding category, where it ranks #168 with a composite score of 69/100. 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... 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 #168 out of 378 models tracked. Its quality rank is #168 and adoption rank is #168. 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 6 different signals. Its strongest areas include Capabilities (17/100), Benchmarks (72/100), Pricing (99/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 69/100 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.

MiniMax M2-her supports a 66K token context window (65,536 tokens total). That translates to roughly 49,152 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

MiniMax M2-her can generate up to 2K output tokens (2,048 tokens) per response. That is roughly 1,536 words. Sufficient for typical conversations, code snippets, and summaries.

MiniMax M2-her supports streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

MiniMax M2-her was developed by MiniMax. It was released on January 23, 2026. You can access it through MiniMax's API. Check our provider page for all models from MiniMax and how they compare against each other.

Pick MiniMax M2-her when you need a solid balance of cost and capability for everyday development tasks, content generation, and standard API integrations. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access MiniMax M2-her through MiniMax's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.