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MiniMax M2 vs MiniMax M2.1

MiniMax M2.1 leads MiniMax M2 on the Artificial Analysis Intelligence Index, 20.9 to 18.6, at about the same output price ($1.20 vs $1.02 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

Replace MiniMax M2 Replace MiniMax M2.1
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
3
MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
16
vs boards won of 19 shared

MiniMax M2 or MiniMax M2.1: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick MiniMax M2 for output tokens 1.2x cheaper ($1.02 vs $1.20 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or Terminal-Bench, where it leads.

Model AMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved taskModel BMiniMax M2.1MiniMaxNot benchmarked1 independent benchmark$0.59 per solved task
Shared results
19
MiniMax M2 only
31
MiniMax M2.1 only
15
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
MiniMax M2 not benchmarked, MiniMax M2.1 not benchmarked.
Widest category
Reasoning, 7.4 points apart on average over 2 shared benchmarks.
Widest single gap
Design Arena: UI components: MiniMax M2 1134 against MiniMax M2.1 1220, 10.8 points apart on a 0 to 100 scale.
Output price
MiniMax M2 $1.02 against MiniMax M2.1 $1.20 per million output tokens, 1.2x apart.
Context window
Both take 205K tokens.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryMiniMax M2BarsMiniMax M2.1Ties
Coding12
Intelligence01
Agentic work10
Reasoning02
Math02
Knowledge01
Web design07
General11
All shared boards316
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
Coding benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
SWE-bench Verified61.0%Not measuredOnly MiniMax M2 measured
LMArena WebDev1297Not measuredOnly MiniMax M2 measured
LiveCodeBench (Vals AI)Not measured81.8%Only MiniMax M2.1 measured
SWE-bench Verified (Vals AI)Not measured74.8%Only MiniMax M2.1 measured
LiveCodeBench (Artificial Analysis run)82.6%81.0%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)25.8%28.8%MiniMax M2.1
Terminal-Bench30.0%36.6%MiniMax M2.1
ALE-BenchNot measured623.8Only MiniMax M2.1 measured
LMArena Text: coding1371Not measuredOnly MiniMax M2 measured
LMArena Text: software and IT1373Not measuredOnly MiniMax M2 measured
LMArena WebDev: HTML1306Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 32 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
AA Intelligence Index18.620.9MiniMax M2.1
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
τ²-Bench Telecom86.8%85.4%MiniMax M2
Vending-Bench 2$161Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
Reasoning benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
GPQA DiamondNot measured78.5%Only MiniMax M2.1 measured
GPQA Diamond (Artificial Analysis run)77.7%83.0%MiniMax M2.1
Humanity's Last Exam (Artificial Analysis run)13.7%23.2%MiniMax M2.1
LMArena Text: hard prompts1357Not measuredOnly MiniMax M2 measured
LMArena Text: expert1338Not measuredOnly MiniMax M2 measured
LMArena Text: hard prompts in English1376Not measuredOnly MiniMax M2 measured
Kagi LLM Benchmark57.8%Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
AIMENot measured77.9%Only MiniMax M2.1 measured
MATH 500 (Vals AI)Not measured89.0%Only MiniMax M2.1 measured
MGSM (Vals AI)Not measured87.8%Only MiniMax M2.1 measured
AA Math Index78.382.7MiniMax M2.1
AIME 2025 (Artificial Analysis run)78.3%82.7%MiniMax M2.1
LMArena Text: math1351Not measuredOnly MiniMax M2 measured
LMArena Text: mathematical work1368Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
MMLU ProNot measured87.0%Only MiniMax M2.1 measured
LegalBench (Vals AI)Not measured75.5%Only MiniMax M2.1 measured
CaseLaw (Vals AI)Not measured55.8%Only MiniMax M2.1 measured
CorpFin (Vals AI)Not measured58.9%Only MiniMax M2.1 measured
TaxEval (Vals AI)Not measured66.3%Only MiniMax M2.1 measured
MedQA (Vals AI)Not measured91.2%Only MiniMax M2.1 measured
MedCode (Vals AI)Not measured34.1%Only MiniMax M2.1 measured
MMLU Pro (Artificial Analysis run)82.0%87.5%MiniMax M2.1
LMArena Text: science1348Not measuredOnly MiniMax M2 measured
LMArena Text: medicine and healthcare1367Not measuredOnly MiniMax M2 measured
LMArena Text: legal and government1349Not measuredOnly MiniMax M2 measured
LMArena Text: business and finance1336Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
Design Arena: websites11431201MiniMax M2.1
Design Arena: UI components11341220MiniMax M2.1
Design Arena: game dev11181134MiniMax M2.1
Design Arena: data viz11401206MiniMax M2.1
Design Arena: 3D10981164MiniMax M2.1
Design Arena: all code categories11351190MiniMax M2.1
Design Arena: SVG11001131MiniMax M2.1
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
General benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
MedScribe (Vals AI)Not measured80.8%Only MiniMax M2.1 measured
IFBench72.3%69.9%MiniMax M2
Long context reasoning (AA-LCR)64.3%67.7%MiniMax M2.1
LMArena Text1340Not measuredOnly MiniMax M2 measured
LMArena Text: instruction following1329Not measuredOnly MiniMax M2 measured
LMArena Text: creative writing1286Not measuredOnly MiniMax M2 measured
LMArena Text: English1364Not measuredOnly MiniMax M2 measured
LMArena Text: non-English1313Not measuredOnly MiniMax M2 measured
LMArena Text: Chinese1366Not measuredOnly MiniMax M2 measured
LMArena Text: German1357Not measuredOnly MiniMax M2 measured
LMArena Text: French1336Not measuredOnly MiniMax M2 measured
LMArena Text: Spanish1326Not measuredOnly MiniMax M2 measured
LMArena Text: Russian1330Not measuredOnly MiniMax M2 measured
LMArena Text: Polish1312Not measuredOnly MiniMax M2 measured
LMArena Text: multi-turn1361Not measuredOnly MiniMax M2 measured
LMArena Text: longer queries1331Not measuredOnly MiniMax M2 measured
LMArena Text: writing and language1295Not measuredOnly MiniMax M2 measured
LMArena Text: entertainment and media1298Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 30 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2 and MiniMax M2.1
BenchmarkMiniMax M2MiniMax M2.1Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

MiniMax M2$0.0008Fits in one request
MiniMax M2.1$0.0009Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

MiniMax M2$0.016Fits in one request
MiniMax M2.1$0.019Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2$0.061Exceeds the context window
MiniMax M2.1$0.072Exceeds the context window

MiniMax M2 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of MiniMax M2 and MiniMax M2.1
SpecificationMiniMax M2MiniMax M2.1
MakerMiniMaxMiniMax
WeightsOpen weightsOpen weights
ReleasedOctober 23, 2025December 23, 2025
Context window205K205K
Input $/Mtok$0.255$0.30
Output $/Mtok$1.02$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved task$0.702$0.59
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2 better than MiniMax M2.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M2 for output tokens 1.2x cheaper ($1.02 vs $1.20 per million) and work measured by Terminal-Bench Hard (Artificial Analysis run) or Terminal-Bench, where it leads.

Which is cheaper, MiniMax M2 or MiniMax M2.1?

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; MiniMax M2.1 costs $0.30 and $1.20. Per solved SWE-bench Verified task, MiniMax M2 costs $0.702 and MiniMax M2.1 $0.59.

Which has the bigger context window, MiniMax M2 or MiniMax M2.1?

Neither: both take 205K tokens.

How many benchmarks is the MiniMax M2 vs MiniMax M2.1 comparison based on?

19 benchmarks have a result for both models as of October 22, 2026. MiniMax M2's coding index rests on 1 independent benchmark and MiniMax M2.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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