Enter opens the highlighted result. Esc closes.

MiniMax M2.7 vs o3

MiniMax M2.7 leads o3 on the Artificial Analysis Intelligence Index, 22.8 to 20.2, and MiniMax M2.7 costs 6.7x less per output token ($1.20 vs $8.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

Replace MiniMax M2.7 Replace o3
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
31
o3OpenAI
Coding
No data
Overall
51.1
Output $/M
$8.00
21
vs boards won of 52 shared

MiniMax M2.7 or o3: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding.

Pick o3 for a lower cost per solved task ($0.571 against $0.64) and work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel Bo3OpenAINot benchmarkedNo coding benchmark$0.571 per solved task
Shared results
52
MiniMax M2.7 only
22
o3 only
50
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 M2.7 36.2 from 3 benchmarks, o3 not benchmarked.
Widest category
Web design, 20.5 points apart on average over 5 shared benchmarks.
Widest single gap
Design Arena: all code categories: MiniMax M2.7 1233 against o3 1020, 26.6 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against o3 $8.00 per million output tokens, 6.7x apart.
Context window
MiniMax M2.7 takes 205K tokens, o3 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 M2.7Barso3Ties
Coding33
Intelligence11
Agentic work10
Reasoning60
Math21
Knowledge36
Web design50
General1010
All shared boards3121
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
Coding benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
Aider polyglotNot measured81.3%Only o3 measured
SWE-bench VerifiedNot measured58.4%Only o3 measured
SWE-bench MultimodalNot measured36.0%Only o3 measured
LMArena WebDev1399Not measuredOnly MiniMax M2.7 measured
AA Coding Index52.6Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Vals AI)79.9%83.9%o3
SWE-bench Verified (Vals AI)73.8%Not measuredOnly MiniMax M2.7 measured
Vibe Code Bench (Vals AI)11.9%Not measuredOnly MiniMax M2.7 measured
Code migration (Vals AI)8.7%Not measuredOnly MiniMax M2.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)48.7%Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)Not measured80.8%Only o3 measured
SciCode50.1%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)39.4%37.1%MiniMax M2.7
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
GSO-BenchNot measured8.8%Only o3 measured
WeirdML37.0%52.4%o3
ALE-Bench599.3933.5o3
LMArena Text: coding14541407MiniMax M2.7
LMArena Text: software and IT14461415MiniMax M2.7
LMArena WebDev: React1388Not measuredOnly MiniMax M2.7 measured
LMArena WebDev: HTML1401Not measuredOnly MiniMax M2.7 measured
SciCodeNot measured9.2%Only o3 measured
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
AA Intelligence Index22.820.2MiniMax M2.7
Epoch Capabilities Index145.8146.7o3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
AA Agentic Index15.3Not measuredOnly MiniMax M2.7 measured
Finance Agent (Vals AI)27.9%Not measuredOnly MiniMax M2.7 measured
Tax Agent Bench (Vals AI)6.9%Not measuredOnly MiniMax M2.7 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)28.4%Not measuredOnly MiniMax M2.7 measured
τ²-Bench Telecom84.8%80.7%MiniMax M2.7
METR time horizonsNot measured65.4%Only o3 measured
GDPvalNot measured30.8%Only o3 measured
DeepResearch BenchNot measured45.2%Only o3 measured
OSWorldNot measured23.0%Only o3 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured63.0%Only o3 measured
BrowseComp-PlusNot measured65.9%Only o3 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
GPQA Diamond86.6%84.1%MiniMax M2.7
MMMU Pro (Vals AI)Not measured80.4%Only o3 measured
GPQA Diamond (Artificial Analysis run)87.4%82.7%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)29.6%20.1%MiniMax M2.7
GPQA Diamond (Epoch AI run)Not measured81.8%Only o3 measured
ARC-AGINot measured60.8%Only o3 measured
ARC-AGI-2Not measured6.5%Only o3 measured
SimpleBenchNot measured53.1%Only o3 measured
Chess puzzlesNot measured37.0%Only o3 measured
Mystery game puzzlesNot measured29.0%Only o3 measured
VPCTNot measured52.0%Only o3 measured
LMArena Text: hard prompts14221402MiniMax M2.7
LMArena Text: expert14431402MiniMax M2.7
LMArena Text: hard prompts in English14411411MiniMax M2.7
LMArena Vision: diagramsNot measured1220Only o3 measured
LMArena Vision: homeworkNot measured1234Only o3 measured
Kagi LLM BenchmarkNot measured67.6%Only o3 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
AIME91.0%85.3%MiniMax M2.7
MATH 500 (Vals AI)Not measured94.6%Only o3 measured
MGSM (Vals AI)Not measured91.8%Only o3 measured
AA Math IndexNot measured88.3Only o3 measured
AIME 2025 (Artificial Analysis run)Not measured88.3%Only o3 measured
OTIS Mock AIMENot measured84.4%Only o3 measured
FrontierMath, tiers 1 to 3Not measured33.3%Only o3 measured
ProofBench3.0%Not measuredOnly MiniMax M2.7 measured
MATH level 5Not measured97.8%Only o3 measured
LMArena Text: math14211426o3
LMArena Text: mathematical work14371423MiniMax M2.7
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index36
Knowledge benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
MMLU Pro80.4%85.6%o3
LegalBench (Vals AI)84.0%83.8%MiniMax M2.7
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%59.7%MiniMax M2.7
TaxEval (Vals AI)66.6%74.6%o3
MortgageTax (Vals AI)Not measured65.7%Only o3 measured
MedQA (Vals AI)Not measured96.1%Only o3 measured
MedCode (Vals AI)34.4%47.3%o3
MMLU Pro (Artificial Analysis run)Not measured85.3%Only o3 measured
SimpleQA VerifiedNot measured49.4%Only o3 measured
GeoBenchNot measured74.0%Only o3 measured
LMArena Text: science14161429o3
LMArena Text: medicine and healthcare14091448o3
LMArena Text: legal and government14031428o3
LMArena Text: business and finance14071393MiniMax M2.7
FACTS Benchmark SuiteNot measured44.4%Only o3 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
Design Arena: websites12431036MiniMax M2.7
Design Arena: UI components12101017MiniMax M2.7
Design Arena: game dev12091034MiniMax M2.7
Design Arena: data viz12331200MiniMax M2.7
Design Arena: 3D1195Not measuredOnly MiniMax M2.7 measured
Design Arena: all code categories12331020MiniMax M2.7
Design Arena: SVG1137Not measuredOnly MiniMax M2.7 measured
Design Arena: ASCII art1136Not measuredOnly MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1010
General benchmarks for MiniMax M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
SAGE (Vals AI)Not measured41.8%Only o3 measured
MedScribe (Vals AI)79.9%76.7%MiniMax M2.7
IFBench75.7%71.4%MiniMax M2.7
Long context reasoning (AA-LCR)78.3%74.7%MiniMax M2.7
DTBenchNot measured84.8%Only o3 measured
LMCANot measured39.7%Only o3 measured
Fiction.LiveBenchNot measured88.9%Only o3 measured
Creative writing (Lech Mazur)Not measured83.9%Only o3 measured
CL-benchNot measured17.8%Only o3 measured
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051410o3
LMArena Text: instruction following14051368MiniMax M2.7
LMArena Text: creative writing13541359o3
LMArena VisionNot measured1214Only o3 measured
LMArena Text: English14261417MiniMax M2.7
LMArena Text: non-English13821401o3
LMArena Text: Chinese14421437MiniMax M2.7
LMArena Text: German13981420o3
LMArena Text: Japanese12601403o3
LMArena Text: Korean13141370o3
LMArena Text: French14241430o3
LMArena Text: Spanish14021395MiniMax M2.7
LMArena Text: Russian13831406o3
LMArena Text: Polish13871438o3
LMArena Text: multi-turn14121405MiniMax M2.7
LMArena Text: longer queries14181372MiniMax M2.7
LMArena Text: writing and language13761372MiniMax M2.7
LMArena Text: entertainment and media13601373o3
LMArena Vision: EnglishNot measured1221Only o3 measured
LMArena Vision: ChineseNot measured1237Only o3 measured
LMArena Vision: reading textNot measured1218Only o3 measured
LMArena Vision: humorNot measured1222Only o3 measured
LMArena Vision: captioningNot measured1210Only o3 measured
LMArena Vision: recognizing thingsNot measured1234Only o3 measured
LMArena Vision: creative writingNot measured1201Only o3 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 M2.7 and o3
BenchmarkMiniMax M2.7o3Leader
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 M2.7$0.0009Fits in one request
o3$0.0060Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
o3$0.124Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
o3$0.480Exceeds the context window

MiniMax M2.7 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 M2.7 and o3
SpecificationMiniMax M2.7OpenAI o3
MakerMiniMaxOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 18, 2026April 16, 2025
Context window205K200K
Input $/Mtok$0.30$2.00
Output $/Mtok$1.20$8.00
Coding index36.2Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64$0.571
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than o3 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; o3 has none, so the two cannot be ranked on coding. Pick o3 for a lower cost per solved task ($0.571 against $0.64) and work measured by LiveCodeBench (Vals AI) or WeirdML, where it leads.

Which is cheaper, MiniMax M2.7 or o3?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; o3 costs $2.00 and $8.00. Per solved SWE-bench Verified task, MiniMax M2.7 costs $0.64 and o3 $0.571.

Which has the bigger context window, MiniMax M2.7 or o3?

MiniMax M2.7, with 205K tokens against 200K.

How many benchmarks is the MiniMax M2.7 vs o3 comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and o3's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next