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MiniMax M2 vs o1

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace MiniMax M2 Replace o1
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
14
o1OpenAI
Coding
61.7
Overall
15.2
Output $/M
$60.00
20
vs boards won of 34 shared

Decision reading

Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 45.3 for MiniMax M2, though on 1 benchmark against 2.

Pick MiniMax M2 when output tokens cost 58.8x less, or when the context window is larger, 205K against 200K tokens.

Model AMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved taskModel Bo1OpenAI61.7/1001 independent benchmarkNo cost per solved task
Shared results
34
MiniMax M2 only
15
o1 only
34
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 45.3 from 2 benchmarks, o1 61.7 from 1 benchmark.
Widest category
Agentic work, 24.3 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2 86.8% against o1 62.6%, 24.3 points apart on a 0 to 100 scale.
Output price
MiniMax M2 $1.02 against o1 $60.00 per million output tokens, 58.8x apart.
Context window
MiniMax M2 takes 205K tokens, o1 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 M2Barso1Ties
Coding40
Intelligence10
Agentic work10
Reasoning32
Math02
Knowledge23
General313
All shared boards1420
CodingLike-for-likeFour of these boards feed the Vibe Coding Index40
Coding benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
Aider polyglotNot measured61.7%Only o1 measured
SWE-bench Verified61.0%Not measuredOnly MiniMax M2 measured
LMArena WebDev1297Not measuredOnly MiniMax M2 measured
AA Coding IndexNot measured39.7Only o1 measured
LiveCodeBench (Vals AI)Not measured50.3%Only o1 measured
LiveCodeBench (Artificial Analysis run)82.6%67.9%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)25.8%12.9%MiniMax M2
Terminal-Bench30.0%Not measuredOnly MiniMax M2 measured
WeirdMLNot measured46.1%Only o1 measured
LMArena Text: coding13711367MiniMax M2
LMArena Text: software and IT13731366MiniMax M2
LMArena WebDev: HTML1306Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
AA Intelligence Index18.615.2MiniMax M2
Epoch Capabilities IndexNot measured141.7Only o1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
τ²-Bench Telecom86.8%62.6%MiniMax M2
METR time horizonsNot measured51.1%Only o1 measured
Vending-Bench 2$161Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
GPQA DiamondNot measured73.2%Only o1 measured
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)77.7%74.7%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)13.7%7.0%MiniMax M2
GPQA Diamond (Epoch AI run)Not measured76.8%Only o1 measured
ARC-AGINot measured30.7%Only o1 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzlesNot measured10.0%Only o1 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts13571371o1
LMArena Text: expert13381361o1
LMArena Text: hard prompts in English13761372MiniMax M2
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
AIMENot measured71.5%Only o1 measured
MATH 500 (Vals AI)Not measured90.4%Only o1 measured
MGSM (Vals AI)Not measured89.3%Only o1 measured
AA Math Index78.3Not measuredOnly MiniMax M2 measured
AIME 2025 (Artificial Analysis run)78.3%Not measuredOnly MiniMax M2 measured
OTIS Mock AIMENot measured73.3%Only o1 measured
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math13511388o1
LMArena Text: mathematical work13681390o1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
Knowledge benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
MMLU ProNot measured83.5%Only o1 measured
LegalBench (Vals AI)Not measured80.4%Only o1 measured
TaxEval (Vals AI)Not measured74.3%Only o1 measured
MedQA (Vals AI)Not measured96.5%Only o1 measured
MMLU Pro (Artificial Analysis run)82.0%84.1%o1
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science13481369o1
LMArena Text: medicine and healthcare13671355MiniMax M2
LMArena Text: legal and government13491368o1
LMArena Text: business and finance13361328MiniMax M2
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
Design Arena: websites1144Not measuredOnly MiniMax M2 measured
Design Arena: UI components1136Not measuredOnly MiniMax M2 measured
Design Arena: game dev1119Not measuredOnly MiniMax M2 measured
Design Arena: data viz1140Not measuredOnly MiniMax M2 measured
Design Arena: 3D1098Not measuredOnly MiniMax M2 measured
Design Arena: all code categories1135Not measuredOnly MiniMax M2 measured
Design Arena: SVG1098Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index313
General benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
IFBench72.3%70.3%MiniMax M2
Long context reasoning (AA-LCR)64.3%65.0%o1
DTBenchNot measured74.7%Only o1 measured
LMCANot measured22.3%Only o1 measured
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena Text13401366o1
LMArena Text: instruction following13291367o1
LMArena Text: creative writing12861347o1
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English13641372o1
LMArena Text: non-English13131358o1
LMArena Text: Chinese13661394o1
LMArena Text: German13571337MiniMax M2
LMArena Text: JapaneseNot measured1346Only o1 measured
LMArena Text: KoreanNot measured1396Only o1 measured
LMArena Text: French13361344o1
LMArena Text: Spanish13261345o1
LMArena Text: Russian13301356o1
LMArena Text: Polish1312Not measuredOnly MiniMax M2 measured
LMArena Text: multi-turn13611355MiniMax M2
LMArena Text: longer queries13311378o1
LMArena Text: writing and language12951360o1
LMArena Text: entertainment and media12981358o1
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2 and o1
BenchmarkMiniMax M2o1Leader
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
o1$0.045Fits in one request

MiniMax M2 costs less

Repository review

50K input + 3K output tokens

MiniMax M2$0.016Fits in one request
o1$0.930Fits in one request

MiniMax M2 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2$0.061Exceeds the context window
o1$3.60Exceeds 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 o1
SpecificationMiniMax M2OpenAI o1
MakerMiniMaxOpenAI
WeightsOpen weightsNo public weights listed
ReleasedOctober 23, 2025December 17, 2024
Context window205K200K
Input $/Mtok$0.255$15.00
Output $/Mtok$1.02$60.00
Coding index45.361.7
Independent measurements behind it21
Cost per solved task$0.702Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2 better than o1 for coding?

Pick o1 for coding: it scores 61.7 on the Vibe Coding Index against 45.3 for MiniMax M2, though on 1 benchmark against 2. Pick MiniMax M2 when output tokens cost 58.8x less, or when the context window is larger, 205K against 200K tokens.

Which is cheaper, MiniMax M2 or o1?

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, MiniMax M2 or o1?

MiniMax M2, with 205K tokens against 200K.

How many benchmarks is the MiniMax M2 vs o1 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. MiniMax M2's coding index rests on 2 independent benchmarks and o1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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