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Models · MiniMax · Out sinceReleased 23 Dec 2025

MiniMax M2.1

Available on OpenRouterOn OpenRouterAvailable nowGenerally availableClosed (can't be downloaded)Proprietary

MiniMax M2.1 is made by MiniMax. We don't have enough test results yet to rank it. It's cheap to use.

Auto-created from OpenRouter catalog; verify details.

Writing & creativity
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Research & analysis
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Coding
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Price
Cheap$0.30 / $1.20
Price per 1M (blended)Blended / 1M
$0.52
MemoryContext
205K
Longest answerMax output
—
Test resultsResults
2 (2 independent2 indep.)
Out sinceReleased
23 Dec 2025
Made byVendor
MiniMax
UnderstandsInputs
—

Scores are out of 100 for each area, compared with every model we track; “#” is its rank. Context is how much text it can read at once (1M is roughly 700,000 words). Blended price mixes the cost of what you send and what it writes back.

Thinking levels

Reasoning settings

You can't choose how long this one thinks.

No adjustable reasoning setting listed.

Read more

Links

Using it through OpenRouter

On OpenRouter

OpenRouter is a service that gives access to many AI models in one place. This model is listed there as minimax/minimax-m2.1.

Route it as minimax/minimax-m2.1 at $0.30 in / $1.20 out per 1M tokens, 205K context. Listed since 23 Dec 2025.

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p

Every test result

Every result

All the numbers,with where they came from.

Every result we've found for this model, with who measured it and a link to where we read it.

All raw rows (vendor and independent kept separate), with setting label, source, date, harness and notes.

All results for this model
NotesNotes
SWE-Bench Pro (public, v1)36.8%Defaultminimax-2.1Independent testIndependentScale AI SEAL ↗1 Oct 2026—rank 14 (Scale rank accounts for CI); ±3.55; entry added 2026-01-12
Vectara Hallucination Leaderboard (HHEM)11.8%DefaultMiniMaxAI/minimax-m2p1Independent testIndependentVectara ↗22 Sep 2026—factual consistency 88.2 %; answer rate 98.5 %; avg summary 106.9 words; HHEM-2.3 judge; effort not stated (API default)