LLM Reference

MiniMax M2-her vs MiniMax M3

MiniMax M2-her (2026) and MiniMax M3 (teased) are compact production models from MiniMax. MiniMax M2-her ships a 64K-token context window, while MiniMax M3 has no published context window yet. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.

MiniMax M2-her is the production option today; track MiniMax M3 only as a release-watch candidate until public specs, pricing, provider routes, and benchmarks ship.

Decision scorecard

Local evidence first
SignalMiniMax M2-herMiniMax M3
Best forgeneral production evaluationRelease monitoring and wait-or-adopt planning
Decision fitGeneralGeneral
Context window64K
Cheapest output--
Provider routes0 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose MiniMax M2-her when...
  • MiniMax M2-her has the larger context window for long prompts, retrieval packs, or transcript analysis.
Choose MiniMax M3 when...
  • Track MiniMax M3 only as a watchlist option until published weights, API routes, pricing, context, and benchmarks exist.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

MiniMax M2-her

Unavailable

No complete token price in local provider data

MiniMax M3

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

MiniMax M2-her -> MiniMax M3
  • Do not migrate production traffic from MiniMax M2-her to MiniMax M3 yet; wait for released weights or API documentation, pricing, context limits, and benchmark evidence.
MiniMax M3 -> MiniMax M2-her
  • MiniMax M3 is not a callable production source yet, so this is a future evaluation path rather than a live migration.

Specs

Specification
Released2026-03-01Teased - not yet released
Context window64K
Parameters
Architecturedecoder onlyMiniMax Sparse Attention
LicenseProprietary-
Knowledge cutoff--

Pricing and availability

Pricing attributeMiniMax M2-herMiniMax M3
Input price--
Output price--
Providers--

Pricing not yet sourced for either model.

Capabilities

CapabilityMiniMax M2-herMiniMax M3
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoNo
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint is close: both models cover the core production surface. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

Pricing coverage is uneven: MiniMax M2-her has no token price sourced yet and MiniMax M3 has no token price sourced yet. Provider availability is 0 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose MiniMax M2-her when you need a model you can test, price, and route today. Keep MiniMax M3 on a watchlist until release materials confirm the context window, price, license, provider availability, and benchmark behavior. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Is MiniMax M3 released yet?

No. MiniMax M3 is tracked as teased or pre-release in local seed data, with no public weights, API route, pricing, benchmarks, context window, or license details available yet. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Is MiniMax M2-her or MiniMax M3 open source?

MiniMax M2-her is listed under Proprietary. MiniMax M3 is listed under not clearly licensed in the seed data. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

When should I pick MiniMax M2-her over MiniMax M3?

MiniMax M2-her is the production option today; track MiniMax M3 only as a release-watch candidate until public specs, pricing, provider routes, and benchmarks ship. If your workload also depends on provider fit, start with MiniMax M2-her; if it depends on release timing and verified specs, run the same evaluation with MiniMax M3.

What is the main difference between MiniMax M2-her and MiniMax M3?

MiniMax M2-her and MiniMax M3 differ most on context, provider coverage, capabilities, or pricing depending on the data currently sourced. Use the specs table first, then validate the model behavior with your own prompts.

Continue comparing

Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.