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MiniMax M1 vs MiniMax M2.7

MiniMax M2.7 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 22.8 to 11.7, and MiniMax M2.7 costs 1.8x less per output token ($1.20 vs $2.20 per million). Updated October 23, 2026; 29 benchmarks have a result for both.

Replace MiniMax M1 Replace MiniMax M2.7
MiniMax M1MiniMax
Coding
No data
Overall
No data
Output $/M
$2.20
0
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
29
vs boards won of 29 shared

MiniMax M1 or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding.

Pick MiniMax M1 for a larger context window (1M against 205K tokens).

Model AMiniMax M1MiniMaxNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
29
MiniMax M1 only
0
MiniMax M2.7 only
45
Like-for-like categories
6 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 M1 not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Reasoning, 16.5 points apart on average over 3 shared benchmarks.
Widest single gap
LMArena Text: expert: MiniMax M1 1317 against MiniMax M2.7 1443, 21.0 points apart on a 0 to 100 scale.
Output price
MiniMax M1 $2.20 against MiniMax M2.7 $1.20 per million output tokens, 1.8x apart.
Context window
MiniMax M1 takes 1M 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
CategoryMiniMax M1BarsMiniMax M2.7Ties
Coding02
Intelligence01
Reasoning03
Math02
Knowledge04
General017
All shared boards029
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
LMArena WebDevNot measured1398Only MiniMax M2.7 measured
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
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
SciCodeNot measured50.1%Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding13591454MiniMax M2.7
LMArena Text: software and IT13591445MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1402Only MiniMax M2.7 measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
AA Intelligence Index11.722.8MiniMax M2.7
Epoch Capabilities IndexNot measured145.8Only MiniMax M2.7 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax 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 TelecomNot measured84.8%Only MiniMax M2.7 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)Not measured87.4%Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)Not measured29.6%Only MiniMax M2.7 measured
LMArena Text: hard prompts13391423MiniMax M2.7
LMArena Text: expert13171443MiniMax M2.7
LMArena Text: hard prompts in English13531441MiniMax M2.7
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
LMArena Text: math13611421MiniMax M2.7
LMArena Text: mathematical work13631437MiniMax M2.7
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
LMArena Text: science13541416MiniMax M2.7
LMArena Text: medicine and healthcare13551409MiniMax M2.7
LMArena Text: legal and government13371403MiniMax M2.7
LMArena Text: business and finance13191407MiniMax M2.7
Neither model has a result on the other 10 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
Design Arena: websitesNot measured1242Only MiniMax M2.7 measured
Design Arena: UI componentsNot measured1208Only MiniMax M2.7 measured
Design Arena: game devNot measured1209Only MiniMax M2.7 measured
Design Arena: data vizNot measured1233Only MiniMax M2.7 measured
Design Arena: 3DNot measured1194Only MiniMax M2.7 measured
Design Arena: all code categoriesNot measured1233Only MiniMax M2.7 measured
Design Arena: SVGNot measured1136Only 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 index017
General benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)Not measured78.3%Only MiniMax M2.7 measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13431405MiniMax M2.7
LMArena Text: instruction following13121405MiniMax M2.7
LMArena Text: creative writing12971354MiniMax M2.7
LMArena Text: English13631426MiniMax M2.7
LMArena Text: non-English13191383MiniMax M2.7
LMArena Text: Chinese13601441MiniMax M2.7
LMArena Text: German13501398MiniMax M2.7
LMArena Text: Japanese12181259MiniMax M2.7
LMArena Text: Korean12661316MiniMax M2.7
LMArena Text: French13701424MiniMax M2.7
LMArena Text: Spanish13531403MiniMax M2.7
LMArena Text: Russian13291384MiniMax M2.7
LMArena Text: Polish13291388MiniMax M2.7
LMArena Text: multi-turn13351412MiniMax M2.7
LMArena Text: longer queries13261419MiniMax M2.7
LMArena Text: writing and language13111376MiniMax M2.7
LMArena Text: entertainment and media13031361MiniMax M2.7
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M1 and MiniMax M2.7
BenchmarkMiniMax M1MiniMax 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

MiniMax M1$0.0015Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M1$0.027Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M1$0.102Fits in one request
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 MiniMax M1 and MiniMax M2.7
SpecificationMiniMax M1MiniMax M2.7
MakerMiniMaxMiniMax
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025March 18, 2026
Context window1M205K
Input $/Mtok$0.40$0.30
Output $/Mtok$2.20$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M1 better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; MiniMax M1 has none, so the two cannot be ranked on coding. Pick MiniMax M1 for a larger context window (1M against 205K tokens).

Which is cheaper, MiniMax M1 or MiniMax M2.7?

MiniMax M1 costs $0.40 per million input tokens and $2.20 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, MiniMax M1 or MiniMax M2.7?

MiniMax M1, with 1M tokens against 205K.

How many benchmarks is the MiniMax M1 vs MiniMax M2.7 comparison based on?

29 benchmarks have a result for both models as of October 23, 2026. MiniMax M1'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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