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Model comparison

DeepSeek V3.1 vs MiniMax M2.7

Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.

Provider
DeepSeek / MiniMax
china / china
Context
128K / 204.8K
text->text / text->text
Input price
$0.20 / $0.30
per 1M tokens
Output price
$0.30 / $1.20
per 1M tokens
Left model
DeepSeek V3.1
DeepSeek
FamilyDeepSeek
Modalitytext->text

适合做价格带和版本代际对比。

Right model
MiniMax M2.7
MiniMax
FamilyMiniMax
Modalitytext->text

中国站长文本与业务型应用中非常常见的供应商型号。

Comparison summary

How to choose first

This is a cross-provider comparison. Start with the job boundary, then verify what your key can actually see.

On the listed price snapshot, DeepSeek V3.1 is cheaper on combined input and output, but real routing, discounts, and limits still matter.

MiniMax M2.7 has the larger context window, which helps with long documents, knowledge bases, logs, and multi-turn workflows.

Decision boundary

Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.

  • DeepSeek V3.1 is worth checking first when the DeepSeek family, 128K context, and text->text capability match the job.
  • MiniMax M2.7 is worth checking first when the MiniMax family, 204.8K context, and text->text capability match the job.

Key checking route

If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.

  • DeepSeek: DeepSeek V3.1, DeepSeek, text->text
  • MiniMax: MiniMax M2.7, MiniMax, text->text

Commercial fit

Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.

  • DeepSeek V3.1: 适合做价格带和版本代际对比。
  • MiniMax M2.7: 中国站长文本与业务型应用中非常常见的供应商型号。