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MiniMax M2.7 vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads MiniMax M2.7 on coding, 54.7 to 36.2 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 4.3x less per output token ($0.28 vs $1.20 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace MiniMax M2.7 Replace MiMo-V2.6-Flash
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
1
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
46
vs boards won of 47 shared

MiniMax M2.7 or MiMo-V2.6-Flash: which to pick

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for work measured by Long context reasoning (AA-LCR), where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel BMiMo-V2.6-FlashXiaomi54.7/1003 independent benchmarksNo cost per solved task
Shared results
47
MiniMax M2.7 only
27
MiMo-V2.6-Flash only
19
Like-for-like categories
7 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, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Agentic work, 28.6 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): MiniMax M2.7 11.9% against MiMo-V2.6-Flash 79.0%, 67.0 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against MiMo-V2.6-Flash $0.28 per million output tokens, 4.3x apart.
Context window
MiniMax M2.7 takes 205K tokens, MiMo-V2.6-Flash 1.05M.

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 M2.7BarsMiMo-V2.6-FlashTies
Coding011
Intelligence01
Agentic work04
Reasoning04
Math03
Knowledge05
General118
All shared boards146
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
LMArena WebDev13991634MiMo-V2.6-Flash
AA Coding Index52.6Not measuredOnly MiniMax M2.7 measured
LiveCodeBench (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
SWE-bench Verified (Vals AI)73.8%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench 4 (Vals AI)Not measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)11.9%79.0%MiMo-V2.6-Flash
Code migration (Vals AI)8.7%40.9%MiMo-V2.6-Flash
ProgramBench (Vals AI)0.0%0.5%MiMo-V2.6-Flash
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)48.7%76.4%MiMo-V2.6-Flash
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode50.1%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)39.4%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
WeirdML37.0%Not measuredOnly MiniMax M2.7 measured
ALE-Bench599.31244.2MiMo-V2.6-Flash
LMArena Text: coding14541499MiMo-V2.6-Flash
LMArena Text: software and IT14461497MiMo-V2.6-Flash
LMArena WebDev: React13881648MiMo-V2.6-Flash
LMArena WebDev: HTML14011641MiMo-V2.6-Flash
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
AA Intelligence Index22.837.9MiMo-V2.6-Flash
Epoch Capabilities Index145.8Not measuredOnly MiniMax M2.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
AA Agentic Index15.3Not measuredOnly MiniMax M2.7 measured
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)27.9%56.3%MiMo-V2.6-Flash
Tax Agent Bench (Vals AI)6.9%28.5%MiMo-V2.6-Flash
Legal Research Bench (Vals AI)10.6%38.0%MiMo-V2.6-Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)28.4%65.5%MiMo-V2.6-Flash
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only MiMo-V2.6-Flash measured
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash measured
τ²-Bench Telecom84.8%Not measuredOnly MiniMax M2.7 measured
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
GPQA Diamond86.6%Not measuredOnly MiniMax M2.7 measured
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)87.4%Not measuredOnly MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)29.6%35.1%MiMo-V2.6-Flash
LMArena Text: hard prompts14221475MiMo-V2.6-Flash
LMArena Text: expert14431496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14411493MiMo-V2.6-Flash
LMArena Vision: diagramsNot measured1276Only MiMo-V2.6-Flash measured
LMArena Vision: homeworkNot measured1283Only MiMo-V2.6-Flash measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
AIME91.0%Not measuredOnly MiniMax M2.7 measured
ProofBench3.0%63.0%MiMo-V2.6-Flash
LMArena Text: math14211476MiMo-V2.6-Flash
LMArena Text: mathematical work14371478MiMo-V2.6-Flash
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
MMLU Pro80.4%Not measuredOnly MiniMax M2.7 measured
LegalBench (Vals AI)84.0%Not measuredOnly MiniMax M2.7 measured
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%Not measuredOnly MiniMax M2.7 measured
TaxEval (Vals AI)66.6%Not measuredOnly MiniMax M2.7 measured
MedCode (Vals AI)34.4%41.1%MiMo-V2.6-Flash
LMArena Text: science14161462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare14091439MiMo-V2.6-Flash
LMArena Text: legal and government14031441MiMo-V2.6-Flash
LMArena Text: business and finance14071454MiMo-V2.6-Flash
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
Design Arena: websites1242Not measuredOnly MiniMax M2.7 measured
Design Arena: UI components1207Not measuredOnly MiniMax M2.7 measured
Design Arena: game dev1209Not measuredOnly MiniMax M2.7 measured
Design Arena: data viz1233Not measuredOnly MiniMax M2.7 measured
Design Arena: 3D1194Not measuredOnly MiniMax M2.7 measured
Design Arena: all code categories1233Not measuredOnly MiniMax M2.7 measured
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 index118
General benchmarks for MiniMax M2.7 and MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
Public Benefits Bench (Vals AI)Not measured67.6%Only MiMo-V2.6-Flash measured
SAGE (Vals AI)Not measured43.5%Only MiMo-V2.6-Flash measured
MedScribe (Vals AI)79.9%85.3%MiMo-V2.6-Flash
IFBench75.7%Not measuredOnly MiniMax M2.7 measured
Long context reasoning (AA-LCR)78.3%74.3%MiniMax M2.7
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051453MiMo-V2.6-Flash
LMArena Text: instruction following14051452MiMo-V2.6-Flash
LMArena Text: creative writing13541403MiMo-V2.6-Flash
LMArena VisionNot measured1256Only MiMo-V2.6-Flash measured
LMArena Text: English14261476MiMo-V2.6-Flash
LMArena Text: non-English13821431MiMo-V2.6-Flash
LMArena Text: Chinese14421509MiMo-V2.6-Flash
LMArena Text: German13981458MiMo-V2.6-Flash
LMArena Text: Japanese12601359MiMo-V2.6-Flash
LMArena Text: Korean13141425MiMo-V2.6-Flash
LMArena Text: French14241480MiMo-V2.6-Flash
LMArena Text: Spanish14021453MiMo-V2.6-Flash
LMArena Text: Russian13831409MiMo-V2.6-Flash
LMArena Text: Polish13871455MiMo-V2.6-Flash
LMArena Text: multi-turn14121447MiMo-V2.6-Flash
LMArena Text: longer queries14181459MiMo-V2.6-Flash
LMArena Text: writing and language13761424MiMo-V2.6-Flash
LMArena Text: entertainment and media13601415MiMo-V2.6-Flash
LMArena Vision: EnglishNot measured1269Only MiMo-V2.6-Flash measured
LMArena Vision: reading textNot measured1270Only MiMo-V2.6-Flash measured
LMArena Vision: creative writingNot measured1231Only MiMo-V2.6-Flash measured
Neither model has a result on the other 18 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 MiMo-V2.6-Flash
BenchmarkMiniMax M2.7MiMo-V2.6-FlashLeader
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
MiMo-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
MiMo-V2.6-Flash$0.031Fits in one request

MiMo-V2.6-Flash 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 MiMo-V2.6-Flash
SpecificationMiniMax M2.7Xiaomi MiMo-V2.6-Flash
MakerMiniMaxXiaomi
WeightsOpen weightsOpen weights
ReleasedMarch 18, 2026September 21, 2026
Context window205K1.05M
Input $/Mtok$0.30$0.14
Output $/Mtok$1.20$0.28
Coding index36.254.7
Independent measurements behind it33
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than MiMo-V2.6-Flash for coding?

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for work measured by Long context reasoning (AA-LCR), where it leads.

Which is cheaper, MiniMax M2.7 or MiMo-V2.6-Flash?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 205K.

How many benchmarks is the MiniMax M2.7 vs MiMo-V2.6-Flash comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/minimax-minimax-m2-7-vs-xiaomi-mimo-v2-6-flash">LLMBenchmark.ai, MiniMax M2.7 vs MiMo-V2.6-Flash</a></p>