Models / MiniMax/ MiniMax M2-her

MiniMax M2-her

MiniMax · released Jan 23, 2026

Input: text. Output: text.InputOutput
Type
Closed
Input
$0.30
Output
$1.20
Cached
$0.030

List price · per 1M tokens · Minimax at 66K context · source ↗

Our take

Written Sep 1, 2026

MiniMax M2-her is a hosted-only text model with a 65,536-token request limit and identical pricing across its two available endpoints. It suits budget-conscious text work where no quality data exists to guide a more precise choice.

Who should pick it

Pick this for straightforward text tasks where a 65K token limit is enough and you want predictable costs across providers. Skip it if you need measured quality scores, multimodal input, or the ability to shop around for a cheaper host.

The case for it

  • Same rate on both tracked providers, so switching host does not change your bill.
  • 65,536-token request limit handles long documents in a single pass.

The case against it

  • No benchmark scores or quality rankings in our data.
  • No speed or throughput comparison points against peers.
  • Identical pricing across hosts means no cost optimisation by switching provider.
00

How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked 4 hours ago — each listing carries its own date.

Cheapest published offer

Minimax, through OpenRouter

The lab is also the cheapest we hold. The strip above and this offer are the same one, so nothing on this page undercuts Minimax on 66K of context.

per 1M tokens
$0.30 in / $1.20 out
Context served
66K
Throughput
~29 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
OpenRouterOpenRouter's own listing$0.30 / $1.20checked 4 hours ago66Knot measuredUnknownUnknownUnknown
MinimaxThrough OpenRouter$0.30 / $1.20checked 4 hours ago66K2K max reply29 tok/sNoYesunknown periodUnknown

Across the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 0 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
OpenRouterOpenRouter's own listing✗✗✗
MinimaxThrough OpenRouter✗✗✗

Tool calling: 0 of 2 listings say yes, 2 say no. JSON output: 0 of 2 listings say yes, 2 say no. Strict schema: 0 of 2 listings say yes, 2 say no.

02

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Jan 23, 2026AnnouncedMiniMax M2-her announced by MiniMax

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 1 of 2 listings does not say whether it trains on prompts.
  • We hold no batch or off-peak rate for any of its listings.
03

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text in, text out
Catalogue slug
minimax-minimax-m2-her

Machine-readable model card (omc.json) →

Something wrong on this page? Tell us