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MiniMax M2.1 vs o3 Mini

MiniMax M2.1 leads o3 Mini on the Artificial Analysis Intelligence Index, 20.9 to 12.5, and MiniMax M2.1 costs 3.7x less per output token ($1.20 vs $4.40 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

MiniMax M2.1MiniMax
Coding
No data
Overall
No data
Output $/M
$1.20
14
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
5
vs boards won of 19 shared

MiniMax M2.1 or o3 Mini: which to pick

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

Pick MiniMax M2.1 for output tokens 3.7x cheaper ($1.20 vs $4.40 per million) and a larger context window (205K against 200K tokens).

Shared results
19
MiniMax M2.1 only
15
o3 Mini only
52
Like-for-like categories
7 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 M2.1 not benchmarked, o3 Mini not benchmarked.
Widest category
Agentic work, 54.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2.1 85.4% against o3 Mini 31.3%, 54.1 points apart on a 0 to 100 scale.
Output price
MiniMax M2.1 $1.20 against o3 Mini $4.40 per million output tokens, 3.7x apart.
Context window
MiniMax M2.1 takes 205K tokens, o3 Mini 200K.

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 M2.1Barso3 MiniTies
Coding30
Intelligence10
Agentic work10
Reasoning30
Math03
Knowledge42
General20
All shared boards145
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
Aider polyglotNot measured60.4%Only o3 Mini measured
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
LiveCodeBench (Vals AI)81.8%71.5%MiniMax M2.1
SWE-bench Verified (Vals AI)74.8%Not measuredOnly MiniMax M2.1 measured
LiveCodeBench (Artificial Analysis run)81.0%73.4%MiniMax M2.1
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)28.8%6.8%MiniMax M2.1
Terminal-Bench36.6%Not measuredOnly MiniMax M2.1 measured
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
ALE-Bench623.8Not measuredOnly MiniMax M2.1 measured
LMArena Text: codingNot measured1378Only o3 Mini measured
LMArena Text: software and ITNot measured1364Only o3 Mini measured
SciCodeNot measured7.7%Only o3 Mini measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
AA Intelligence Index20.912.5MiniMax M2.1
Epoch Capabilities IndexNot measured140.2Only o3 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
τ²-Bench Telecom85.4%31.3%MiniMax M2.1
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
GPQA Diamond78.5%75.5%MiniMax M2.1
GPQA Diamond (Artificial Analysis run)83.0%77.3%MiniMax M2.1
Humanity's Last Exam (Artificial Analysis run)23.2%12.0%MiniMax M2.1
GPQA Diamond (Epoch AI run)Not measured77.0%Only o3 Mini measured
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzlesNot measured15.0%Only o3 Mini measured
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard promptsNot measured1365Only o3 Mini measured
LMArena Text: expertNot measured1364Only o3 Mini measured
LMArena Text: hard prompts in EnglishNot measured1375Only o3 Mini measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
AIME77.9%86.5%o3 Mini
MATH 500 (Vals AI)89.0%91.8%o3 Mini
MGSM (Vals AI)87.8%91.3%o3 Mini
AA Math Index82.7Not measuredOnly MiniMax M2.1 measured
AIME 2025 (Artificial Analysis run)82.7%Not measuredOnly MiniMax M2.1 measured
OTIS Mock AIMENot measured76.9%Only o3 Mini measured
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 5Not measured96.5%Only o3 Mini measured
LMArena Text: mathNot measured1396Only o3 Mini measured
LMArena Text: mathematical workNot measured1399Only o3 Mini measured
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
Knowledge benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
MMLU Pro87.0%78.7%MiniMax M2.1
LegalBench (Vals AI)75.5%71.5%MiniMax M2.1
CaseLaw (Vals AI)55.8%Not measuredOnly MiniMax M2.1 measured
CorpFin (Vals AI)58.9%45.3%MiniMax M2.1
TaxEval (Vals AI)66.3%69.4%o3 Mini
MedQA (Vals AI)91.2%94.8%o3 Mini
MedCode (Vals AI)34.1%Not measuredOnly MiniMax M2.1 measured
MMLU Pro (Artificial Analysis run)87.5%80.2%MiniMax M2.1
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
LMArena Text: scienceNot measured1339Only o3 Mini measured
LMArena Text: medicine and healthcareNot measured1330Only o3 Mini measured
LMArena Text: legal and governmentNot measured1328Only o3 Mini measured
LMArena Text: business and financeNot measured1313Only o3 Mini measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
Design Arena: websites1201Not measuredOnly MiniMax M2.1 measured
Design Arena: UI components1220Not measuredOnly MiniMax M2.1 measured
Design Arena: game dev1134Not measuredOnly MiniMax M2.1 measured
Design Arena: data viz1206Not measuredOnly MiniMax M2.1 measured
Design Arena: 3D1164Not measuredOnly MiniMax M2.1 measured
Design Arena: all code categories1190Not measuredOnly MiniMax M2.1 measured
Design Arena: SVG1131Not measuredOnly MiniMax M2.1 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
MedScribe (Vals AI)80.8%Not measuredOnly MiniMax M2.1 measured
IFBench69.9%67.1%MiniMax M2.1
Long context reasoning (AA-LCR)67.7%43.0%MiniMax M2.1
DTBenchNot measured68.8%Only o3 Mini measured
LMCANot measured19.0%Only o3 Mini measured
Fiction.LiveBenchNot measured50.0%Only o3 Mini measured
Creative writing (Lech Mazur)Not measured61.7%Only o3 Mini measured
LMArena TextNot measured1337Only o3 Mini measured
LMArena Text: instruction followingNot measured1337Only o3 Mini measured
LMArena Text: creative writingNot measured1286Only o3 Mini measured
LMArena Text: EnglishNot measured1351Only o3 Mini measured
LMArena Text: non-EnglishNot measured1319Only o3 Mini measured
LMArena Text: ChineseNot measured1379Only o3 Mini measured
LMArena Text: GermanNot measured1303Only o3 Mini measured
LMArena Text: JapaneseNot measured1286Only o3 Mini measured
LMArena Text: KoreanNot measured1313Only o3 Mini measured
LMArena Text: FrenchNot measured1334Only o3 Mini measured
LMArena Text: SpanishNot measured1321Only o3 Mini measured
LMArena Text: RussianNot measured1304Only o3 Mini measured
LMArena Text: PolishNot measured1294Only o3 Mini measured
LMArena Text: multi-turnNot measured1320Only o3 Mini measured
LMArena Text: longer queriesNot measured1343Only o3 Mini measured
LMArena Text: writing and languageNot measured1313Only o3 Mini measured
LMArena Text: entertainment and mediaNot measured1283Only o3 Mini measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2.1 and o3 Mini
BenchmarkMiniMax M2.1o3 MiniLeader
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 M2.1$0.0009Fits in one request
o3 Mini$0.0033Fits in one request

MiniMax M2.1 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.1$0.019Fits in one request
o3 Mini$0.068Fits in one request

MiniMax M2.1 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.1$0.072Exceeds the context window
o3 Mini$0.264Exceeds the context window

MiniMax M2.1 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 M2.1 and o3 Mini
SpecificationMiniMax M2.1OpenAI o3 Mini
MakerMiniMaxOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 23, 2025January 31, 2025
Context window205K200K
Input $/Mtok$0.30$1.10
Output $/Mtok$1.20$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.59Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.1 better than o3 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M2.1 for output tokens 3.7x cheaper ($1.20 vs $4.40 per million) and a larger context window (205K against 200K tokens).

Which is cheaper, MiniMax M2.1 or o3 Mini?

MiniMax M2.1 costs $0.30 per million input tokens and $1.20 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for MiniMax M2.1 only.

Which has the bigger context window, MiniMax M2.1 or o3 Mini?

MiniMax M2.1, with 205K tokens against 200K.

How many benchmarks is the MiniMax M2.1 vs o3 Mini comparison based on?

19 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.1's coding index rests on 1 independent benchmark and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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