MiniMax models: nearly one flat rate across the M-series

MiniMax
Services found: 6
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
1

MiniMax M3

MiniMax
Text & chatVisionVideo
$0.3 / $1.21.05M tokensAPI only1.2View
2

MiniMax M2.7

MiniMax
Text & chatReasoningTool calling
$0.3 / $1.2204.8K tokensAPI only1.2View
3

MiniMax M2.5

MiniMax
Text & chatReasoningTool calling
$0.27 / $1.08204.8K tokensAPI only1.08View
4

MiniMax M2.1

MiniMax
Text & chatReasoningTool calling
$0.3 / $1.2204.8K tokensAPI only1.2View
5

MiniMax M2-her

MiniMax
Text & chatReasoningTool calling
$0.3 / $1.265.5K tokensAPI only1.2View
6

MiniMax M2

MiniMax
Text & chatReasoningTool calling
$0.255 / $1.02204.8K tokensAPI only1.02View

Browse by need

MiniMax builds reasoning-oriented models at volume pricing: M3 at $0.30 input and $1.20 output per 1M tokens, M2 slightly below. Context reaches 192K, and the family is designed around thinking mode rather than offering it as an option.

For teams that want deliberation on every request without frontier pricing, this is one of the few places it is affordable. The weights are published, so the hosted rate is a convenience rather than a dependency.

Thinking by defaultReasoning is the design centre, not a toggle.
Volume pricingOutput under $1.25 per 1M across the line.
Open weightsDownloadable, with third-party hosting widely available.

Models from this vendor

How to choose

  • Benchmark against a comparable model from a larger vendor before committing production traffic — line-ups this size get less independent testing.
  • Start with MiniMax M2 at $0.255 / $1.02 per 1M tokens; it is the cheapest entry point here.
  • Move up to MiniMax M3 at $0.3 / $1.2 only where the cheaper variant visibly fails, not by default.
  • Check the context window against your longest input — the largest here is MiniMax M2.7 at 204.8K tokens.

Common mistakes

Assuming parity with the majorsOn the hardest tasks the frontier labs remain ahead; compare on your own cases.
Skipping the exit planA smaller vendor can change terms or availability faster. Identify a fallback model before you depend on this one.

Who this suits

Cost-driven teamsMiniMax M2 at $0.255 / $1.02 undercuts most mainstream options.
EvaluatorsA useful comparison point when benchmarking the models against larger line-ups.
Regional usersRelevant where this vendor platform or language coverage matters more than raw capability.

Related filters

Text & chat228 models for text generation and chat
Vision156 models that read images
Reasoning169 models that think before answering
Tool calling166 models that call your functions
Alibaba (Qwen)34 models in this rating
OpenAI30 models in this rating
Google DeepMind17 models in this rating

Frequently asked questions

How does MiniMax compare with DeepSeek?

Similar positioning; DeepSeek is cheaper, MiniMax offers a longer thinking-first track record.

Is MiniMax open weight?

Yes, which is why it appears on several third-party platforms.

What context window?

Up to 192K tokens on the current generation.

How many MiniMax models are in this rating?

6, covering text & chat, vision, video.

Is MiniMax a good default choice?

For most teams no — start with a mainstream vendor and use this one where its pricing or specialisation gives a concrete advantage.

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