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Kimi K2 0711 vs MiniMax M2.7

MiniMax M2.7 leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 22.8 to 12.7, and MiniMax M2.7 costs 1.9x less per output token ($1.20 vs $2.30 per million). Updated October 22, 2026; 22 benchmarks have a result for both.

Replace Kimi K2 0711 Replace MiniMax M2.7
Kimi K2 0711Moonshot AI
Coding
No data
Overall
No data
Output $/M
$2.30
2
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
20
vs boards won of 22 shared

Kimi K2 0711 or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding.

Pick Kimi K2 0711 for work measured by WeirdML or TaxEval (Vals AI), where it leads.

Model AKimi K2 0711Moonshot AINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
22
Kimi K2 0711 only
15
MiniMax M2.7 only
52
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
Kimi K2 0711 not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
General, 29.8 points apart on average over 2 shared benchmarks.
Widest single gap
IFBench: Kimi K2 0711 41.5% against MiniMax M2.7 75.7%, 34.2 points apart on a 0 to 100 scale.
Output price
Kimi K2 0711 $2.30 against MiniMax M2.7 $1.20 per million output tokens, 1.9x apart.
Context window
Kimi K2 0711 takes 131K tokens, MiniMax M2.7 205K.

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
CategoryKimi K2 0711BarsMiniMax M2.7Ties
Coding13
Intelligence02
Agentic work01
Reasoning03
Math01
Knowledge13
Web design05
General02
All shared boards220
CodingLike-for-likeSix of these boards feed the Vibe Coding Index13
Coding benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
Aider polyglot59.1%Not measuredOnly Kimi K2 0711 measured
SWE-bench Verified71.2%Not measuredOnly Kimi K2 0711 measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)70.5%79.9%MiniMax M2.7
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)55.6%Not measuredOnly Kimi K2 0711 measured
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)15.9%39.4%MiniMax M2.7
Terminal-Bench27.8%45.1%MiniMax M2.7
GSO-Bench4.9%Not measuredOnly Kimi K2 0711 measured
WeirdML39.4%37.0%Kimi K2 0711
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: codingNot measured1454Only MiniMax M2.7 measured
LMArena Text: software and ITNot measured1446Only MiniMax M2.7 measured
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
AA Intelligence Index12.722.8MiniMax M2.7
Epoch Capabilities Index140.0145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom61.1%84.8%MiniMax M2.7
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
GPQA Diamond71.5%86.6%MiniMax M2.7
GPQA Diamond (Artificial Analysis run)76.6%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)7.4%29.6%MiniMax M2.7
SimpleBench26.3%Not measuredOnly Kimi K2 0711 measured
LMArena Text: hard promptsNot measured1422Only MiniMax M2.7 measured
LMArena Text: expertNot measured1443Only MiniMax M2.7 measured
LMArena Text: hard prompts in EnglishNot measured1441Only MiniMax M2.7 measured
Kagi LLM Benchmark64.4%Not measuredOnly Kimi K2 0711 measured
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index01
Math benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
AIME62.7%91.0%MiniMax M2.7
MATH 500 (Vals AI)94.2%Not measuredOnly Kimi K2 0711 measured
MGSM (Vals AI)91.0%Not measuredOnly Kimi K2 0711 measured
AA Math Index57.0Not measuredOnly Kimi K2 0711 measured
AIME 2025 (Artificial Analysis run)57.0%Not measuredOnly Kimi K2 0711 measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: mathNot measured1421Only MiniMax M2.7 measured
LMArena Text: mathematical workNot measured1437Only MiniMax M2.7 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
MMLU Pro79.4%80.4%MiniMax M2.7
LegalBench (Vals AI)81.5%84.0%MiniMax M2.7
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)50.4%61.2%MiniMax M2.7
TaxEval (Vals AI)70.2%66.6%Kimi K2 0711
MedQA (Vals AI)84.0%Not measuredOnly Kimi K2 0711 measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
MMLU Pro (Artificial Analysis run)82.4%Not measuredOnly Kimi K2 0711 measured
LMArena Text: scienceNot measured1416Only MiniMax M2.7 measured
LMArena Text: medicine and healthcareNot measured1409Only MiniMax M2.7 measured
LMArena Text: legal and governmentNot measured1403Only MiniMax M2.7 measured
LMArena Text: business and financeNot measured1407Only MiniMax M2.7 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
Design Arena: websites10501243MiniMax M2.7
Design Arena: UI components10271210MiniMax M2.7
Design Arena: game dev9731209MiniMax M2.7
Design Arena: data viz10181233MiniMax M2.7
Design Arena: 3DNot measured1195Only MiniMax M2.7 measured
Design Arena: all code categories10331233MiniMax M2.7
Design Arena: SVGNot measured1137Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only 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 index02
General benchmarks for Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBench41.5%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)53.0%78.3%MiniMax M2.7
Fiction.LiveBench61.1%Not measuredOnly Kimi K2 0711 measured
Creative writing (Lech Mazur)85.6%Not measuredOnly Kimi K2 0711 measured
CL-bench11.9%Not measuredOnly Kimi K2 0711 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena TextNot measured1405Only MiniMax M2.7 measured
LMArena Text: instruction followingNot measured1405Only MiniMax M2.7 measured
LMArena Text: creative writingNot measured1354Only MiniMax M2.7 measured
LMArena Text: EnglishNot measured1426Only MiniMax M2.7 measured
LMArena Text: non-EnglishNot measured1382Only MiniMax M2.7 measured
LMArena Text: ChineseNot measured1442Only MiniMax M2.7 measured
LMArena Text: GermanNot measured1398Only MiniMax M2.7 measured
LMArena Text: JapaneseNot measured1260Only MiniMax M2.7 measured
LMArena Text: KoreanNot measured1314Only MiniMax M2.7 measured
LMArena Text: FrenchNot measured1424Only MiniMax M2.7 measured
LMArena Text: SpanishNot measured1402Only MiniMax M2.7 measured
LMArena Text: RussianNot measured1383Only MiniMax M2.7 measured
LMArena Text: PolishNot measured1387Only MiniMax M2.7 measured
LMArena Text: multi-turnNot measured1412Only MiniMax M2.7 measured
LMArena Text: longer queriesNot measured1418Only MiniMax M2.7 measured
LMArena Text: writing and languageNot measured1376Only MiniMax M2.7 measured
LMArena Text: entertainment and mediaNot measured1360Only MiniMax M2.7 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 Kimi K2 0711 and MiniMax M2.7
BenchmarkKimi K2 0711MiniMax M2.7Leader
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

Kimi K2 0711$0.0017Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Kimi K2 0711$0.035Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Kimi K2 0711$0.137Exceeds the context window
MiniMax M2.7$0.072Exceeds 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 Kimi K2 0711 and MiniMax M2.7
SpecificationMoonshotAI Kimi K2 0711MiniMax M2.7
MakerMoonshot AIMiniMax
WeightsOpen weightsOpen weights
ReleasedJuly 11, 2025March 18, 2026
Context window131K205K
Input $/Mtok$0.57$0.30
Output $/Mtok$2.30$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 0711 better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding. Pick Kimi K2 0711 for work measured by WeirdML or TaxEval (Vals AI), where it leads.

Which is cheaper, Kimi K2 0711 or MiniMax M2.7?

Kimi K2 0711 costs $0.57 per million input tokens and $2.30 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, Kimi K2 0711 or MiniMax M2.7?

MiniMax M2.7, with 205K tokens against 131K.

How many benchmarks is the Kimi K2 0711 vs MiniMax M2.7 comparison based on?

22 benchmarks have a result for both models as of October 22, 2026. Kimi K2 0711's coding index rests on 0 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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