Model Comparison

MiniMax-M1 (80k) vs MiniMax-M2

Compare the listed model data for MiniMax-M1 (80k) by MiniMax and MiniMax-M2 by MiniMax. Benchmark and pricing records are not a controlled test and may change.

Data last updated: 2026-10-16. Verify current model details with each provider.

What the listed data says

MiniMax-M1 (80k): 1M tokens; MiniMax-M2: 1M tokens. The listed context-window values are equal. MiniMax-M1 (80k) is listed for coding, reasoning, agentic workflows, long-context tasks; MiniMax-M2 is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

Computed differences from catalog data

  • The listed context windows are 1M tokens and 1M tokens; the larger is 1× the smaller.
  • No shared benchmark labels are present in both catalog records.
  • A release-date gap cannot be calculated from the catalog values (MiniMax-M1 (80k): May 2025; MiniMax-M2: 2025).

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose MiniMax-M1 (80k) if…

Choose MiniMax-M1 (80k) when your task aligns with catalog-listed uses or strengths such as Entire-repository code analysis, Multi-book research synthesis, Long-running agentic workflows, 1 million token context — entire software repositories in one session.

Choose MiniMax-M2 if…

Choose MiniMax-M2 when your task aligns with catalog-listed uses or strengths such as Long-context reasoning and analysis, Enterprise agentic workflows, Improved MiniMax M2 architecture over M1, 1M context maintained.

MiniMax-M1 (80k)

Browse MiniMax models

MiniMax M1 reasoning model — linear attention architecture enabling very long context at scale with strong reasoning.

Parameters: 456B total (45.9B active via MoE)

Context: 1M tokens

Catalog pricing: MiniMax API pricing; weights released for research

MiniMax Coding · Reasoning · Agentic · Long Context Open Source

View MiniMax-M1 (80k) model profile

MiniMax-M2

Browse MiniMax models

MiniMax M2 — improved reasoning and coding over M1 with better instruction following and general capabilities.

Parameters: Large MoE

Context: 1M tokens

Catalog pricing: MiniMax API pricing

MiniMax General Purpose Open Source

View MiniMax-M2 model profile

Feature Comparison — MiniMax-M1 (80k) vs MiniMax-M2

Catalog specifications for MiniMax-M1 (80k) and MiniMax-M2
Specification MiniMax-M1 (80k) MiniMax-M2
Provider MiniMax MiniMax
Parameters 456B total (45.9B active via MoE) Large MoE
Context window 1M tokens 1M tokens
Maximum output Not listed Not listed
Catalog pricing MiniMax API pricing; weights released for research MiniMax API pricing
Listed input/output cost per 1M tokens Separate numeric input/output rates not listed Separate numeric input/output rates not listed
License MiniMax Model License MiniMax Model License
Coding support Listed Not listed
Reasoning support Listed Not listed
Vision input Not listed Not listed
Multimodal Not listed Not listed
Open weights Yes Yes

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between MiniMax-M1 (80k) and MiniMax-M2?
MiniMax-M1 (80k): 1M tokens; MiniMax-M2: 1M tokens. The listed context-window values are equal. MiniMax-M1 (80k) is listed for coding, reasoning, agentic workflows, long-context tasks; MiniMax-M2 is listed for no specific capability flags. Shared catalog benchmark entries: No shared benchmark labels are listed in these model records. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
What benchmark values are listed for MiniMax-M1 (80k) and MiniMax-M2?
No shared benchmark labels are listed in these model records. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.
Which model has the larger listed context window?
MiniMax-M1 (80k): 1M tokens; MiniMax-M2: 1M tokens. The listed context-window values are equal.
What are the listed costs per million tokens for MiniMax-M1 (80k) and MiniMax-M2?
MiniMax-M1 (80k): Separate numeric input/output rates not listed (MiniMax API pricing; weights released for research). MiniMax-M2: Separate numeric input/output rates not listed (MiniMax API pricing). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.
How far apart are the listed release dates for MiniMax-M1 (80k) and MiniMax-M2?
The catalog lists MiniMax-M1 (80k) as May 2025 and MiniMax-M2 as 2025; a release-date gap cannot be calculated from both records.
When was the comparison data last updated?
The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.
How should I choose between MiniMax-M1 (80k) and MiniMax-M2?
Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

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