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MiniMax M2.5 vs o4 Mini

MiniMax M2.5 leads o4 Mini on the Artificial Analysis Intelligence Index, 22.8 to 16.7, and MiniMax M2.5 costs 3.7x less per output token ($1.20 vs $4.40 per million). Updated October 21, 2026; 54 benchmarks have a result for both.

Replace MiniMax M2.5 Replace o4 Mini
MiniMax M2.5MiniMax
Coding
37.2
Overall
37.3
Output $/M
$1.20
41
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
13
vs boards won of 54 shared

MiniMax M2.5 or o4 Mini: which to pick

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding.

Pick o4 Mini for work measured by LiveCodeBench (Vals AI) or ARC-AGI-2, where it leads.

Model AMiniMax M2.5MiniMax37.2/1003 independent benchmarks$0.62 per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
54
MiniMax M2.5 only
14
o4 Mini only
44
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 M2.5 37.2 from 3 benchmarks, o4 Mini not benchmarked.
Widest category
Agentic work, 39.8 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2.5 95.3% against o4 Mini 55.6%, 39.8 points apart on a 0 to 100 scale.
Output price
MiniMax M2.5 $1.20 against o4 Mini $4.40 per million output tokens, 3.7x apart.
Context window
MiniMax M2.5 takes 205K tokens, o4 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 M2.5Barso4 MiniTies
Coding41
Intelligence20
Agentic work10
Reasoning72
Math12
Knowledge54
Web design60
General154
All shared boards4113
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench Verified75.8%64.6%MiniMax M2.5
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
SWE-bench Multilingual68.3%Not measuredOnly MiniMax M2.5 measured
LMArena WebDev1386Not measuredOnly MiniMax M2.5 measured
LiveCodeBench (Vals AI)79.2%82.2%o4 Mini
SWE-bench Verified (Vals AI)74.2%Not measuredOnly MiniMax M2.5 measured
Vibe Code Bench (Vals AI)14.8%Not measuredOnly MiniMax M2.5 measured
LiveCodeBench (Artificial Analysis run)Not measured85.9%Only o4 Mini measured
Terminal-Bench Hard (Artificial Analysis run)34.8%15.2%MiniMax M2.5
Terminal-Bench42.7%Not measuredOnly MiniMax M2.5 measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
ALE-Bench618.2Not measuredOnly MiniMax M2.5 measured
LMArena Text: coding13801368MiniMax M2.5
LMArena Text: software and IT13831367MiniMax M2.5
LMArena WebDev: React1374Not measuredOnly MiniMax M2.5 measured
LMArena WebDev: HTML1414Not measuredOnly MiniMax M2.5 measured
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
AA Intelligence Index22.816.7MiniMax M2.5
Epoch Capabilities Index146.6145.5MiniMax M2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
τ²-Bench Telecom95.3%55.6%MiniMax M2.5
METR time horizonsNot measured63.9%Only o4 Mini measured
Vending-Bench 2-$23Not measuredOnly MiniMax M2.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index72
Reasoning benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
GPQA Diamond82.1%74.5%MiniMax M2.5
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)84.8%78.4%MiniMax M2.5
Humanity's Last Exam (Artificial Analysis run)20.5%16.5%MiniMax M2.5
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
ARC-AGI63.7%58.7%MiniMax M2.5
ARC-AGI-24.9%6.1%o4 Mini
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts13721351MiniMax M2.5
LMArena Text: expert13781343MiniMax M2.5
LMArena Text: hard prompts in English13841366MiniMax M2.5
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Kagi LLM Benchmark55.2%67.6%o4 Mini
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
AIME88.8%83.7%MiniMax M2.5
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
OTIS Mock AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
ProofBench4.0%Not measuredOnly MiniMax M2.5 measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math13781389o4 Mini
LMArena Text: mathematical work13781379o4 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
Knowledge benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
MMLU Pro80.1%80.6%o4 Mini
LegalBench (Vals AI)80.0%79.2%MiniMax M2.5
CaseLaw (Vals AI)53.5%Not measuredOnly MiniMax M2.5 measured
CorpFin (Vals AI)59.6%59.0%MiniMax M2.5
TaxEval (Vals AI)68.2%74.8%o4 Mini
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)92.5%96.0%o4 Mini
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)Not measured83.2%Only o4 Mini measured
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science13691354MiniMax M2.5
LMArena Text: medicine and healthcare13571361o4 Mini
LMArena Text: legal and government13661350MiniMax M2.5
LMArena Text: business and finance13561325MiniMax M2.5
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
Design Arena: websites1222985MiniMax M2.5
Design Arena: UI components1173983MiniMax M2.5
Design Arena: game dev11761003MiniMax M2.5
Design Arena: data viz1171990MiniMax M2.5
Design Arena: 3D1170854MiniMax M2.5
Design Arena: all code categories1207976MiniMax M2.5
Design Arena: SVG1149Not measuredOnly MiniMax M2.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index154
General benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBench71.6%68.7%MiniMax M2.5
Long context reasoning (AA-LCR)73.3%61.0%MiniMax M2.5
DTBenchNot measured77.6%Only o4 Mini measured
LMCANot measured26.5%Only o4 Mini measured
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
CL-bench11.4%Not measuredOnly MiniMax M2.5 measured
CL-bench Life6.3%Not measuredOnly MiniMax M2.5 measured
LMArena Text13591353MiniMax M2.5
LMArena Text: instruction following13531320MiniMax M2.5
LMArena Text: creative writing13311294MiniMax M2.5
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English13801367MiniMax M2.5
LMArena Text: non-English13381337MiniMax M2.5
LMArena Text: Chinese13931354MiniMax M2.5
LMArena Text: German13611336MiniMax M2.5
LMArena Text: Japanese11711308o4 Mini
LMArena Text: Korean12331312o4 Mini
LMArena Text: French13631364o4 Mini
LMArena Text: Spanish13531346MiniMax M2.5
LMArena Text: Russian13591334MiniMax M2.5
LMArena Text: Polish13341358o4 Mini
LMArena Text: multi-turn13641350MiniMax M2.5
LMArena Text: longer queries13661315MiniMax M2.5
LMArena Text: writing and language13451316MiniMax M2.5
LMArena Text: entertainment and media13291308MiniMax M2.5
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2.5 and o4 Mini
BenchmarkMiniMax M2.5o4 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 M2.5$0.0009Fits in one request
o4 Mini$0.0033Fits in one request

MiniMax M2.5 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.5$0.019Fits in one request
o4 Mini$0.068Fits in one request

MiniMax M2.5 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.5$0.072Exceeds the context window
o4 Mini$0.264Exceeds the context window

MiniMax M2.5 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 M2.5 and o4 Mini
SpecificationMiniMax M2.5OpenAI o4 Mini
MakerMiniMaxOpenAI
WeightsOpen weightsNo public weights listed
ReleasedFebruary 12, 2026April 16, 2025
Context window205K200K
Input $/Mtok$0.30$1.10
Output $/Mtok$1.20$4.40
Coding index37.2Not benchmarked
Independent measurements behind it30
Cost per solved task$0.62Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.5 better than o4 Mini for coding?

Only MiniMax M2.5 has a coding score, 37.2 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding. Pick o4 Mini for work measured by LiveCodeBench (Vals AI) or ARC-AGI-2, where it leads.

Which is cheaper, MiniMax M2.5 or o4 Mini?

MiniMax M2.5 costs $0.30 per million input tokens and $1.20 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for MiniMax M2.5 only.

Which has the bigger context window, MiniMax M2.5 or o4 Mini?

MiniMax M2.5, with 205K tokens against 200K.

How many benchmarks is the MiniMax M2.5 vs o4 Mini comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. MiniMax M2.5's coding index rests on 3 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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