
MiniMax M2.1: API pricing, context window and capabilities
MiniMax M2.1 costs $0.3 per 1M input tokens and $1.2 per 1M output tokens, with a 204.8K context window. Mid-priced: dearer than 33% of this rating, with MiniMax M2.5 as the nearest cheaper MiniMax option. Recorded for reasoning, open weights.
MiniMax M2.1 is an AI model from MiniMax, priced at $0.3 input and $1.2 output per 1M tokens. That places it in the budget tier of this rating — cheaper than 63% of the 205 priced models listed.
It holds 204.8K tokens in a single conversation. Capabilities recorded in this rating: text & chat, reasoning, tool calling, structured JSON output, prompt caching. Access is through the API rather than a consumer subscription.
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Assumes a 1:3 input-to-output ratio, which is typical for chat and generation. Dirham figures use 3.6725 per dollar. Batch and caching discounts apply where the vendor offers them.
Compared with alternatives
How MiniMax M2.1 sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
- Multi-step analysis, planning and code review, where the first plausible answer is often wrong.
- High-volume routing, classification and autocomplete.
- Classification, routing and short summaries — a small model does these identically for a fraction of the price.
- Long multi-step reasoning, where a larger model finishes in fewer attempts.
- Anything requiring image input — this model does not accept it.
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