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MiniMax M2.7 vs Inkling

MiniMax M2.7 leads Inkling on coding, 36.2 to 31.5 on the Vibe Coding Index, and MiniMax M2.7 costs 3.4x less per output token ($1.20 vs $4.05 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Inkling
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
17
T InklingThinking Machines
Coding
31.5
Overall
46.5
Output $/M
$4.05
49
vs boards won of 67 shared, 1 tied

MiniMax M2.7 or Inkling: which to pick

Pick MiniMax M2.7 for coding: it scores 36.2 on the Vibe Coding Index against 31.5 for Inkling, though on 3 benchmarks against 6.

Pick Inkling for a larger context window (524K against 205K tokens) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel BInklingThinking Machines31.5/1006 independent benchmarks$0.76 per solved task
Shared results
67
MiniMax M2.7 only
7
Inkling only
35
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, Inkling 31.5 from 6 benchmarks.
Widest category
Agentic work, 12.4 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Japanese: MiniMax M2.7 1260 against Inkling 1429, 28.1 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against Inkling $4.05 per million output tokens, 3.4x apart.
Context window
MiniMax M2.7 takes 205K tokens, Inkling 524K.

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 M2.7BarsInklingTies
Coding591 tie
Intelligence02
Agentic work05
Reasoning15
Math12
Knowledge18
Web design80
General118
All shared boards17491 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index59
Coding benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDev13991414Inkling
AA Coding Index52.652.1MiniMax M2.7
LiveCodeBench (Vals AI)79.9%85.5%Inkling
SWE-bench Verified (Vals AI)73.8%77.6%Inkling
Terminal-Bench 4 (Vals AI)Not measured0.5%Only Inkling measured
Vibe Code Bench (Vals AI)11.9%19.2%Inkling
Code migration (Vals AI)8.7%11.8%Inkling
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured14.9%Only Inkling measured
Terminal-Bench 2.1 (Vals AI)48.7%47.6%MiniMax M2.7
Vibe Code Bench 1-100 (Vals AI)Not measured7.3%Only Inkling measured
SkillsBench (Vals AI)Not measured26.1%Only Inkling measured
CyberBench (Vals AI)Not measured66.8%Only Inkling measured
SciCode50.1%47.0%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)39.4%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdML37.0%32.3%MiniMax M2.7
ALE-Bench599.3946.0Inkling
LMArena Text: coding14541466Inkling
LMArena Text: software and IT14461465Inkling
LMArena WebDev: React13881404Inkling
LMArena WebDev: HTML14011399MiniMax M2.7
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
AA Intelligence Index22.825.0Inkling
Epoch Capabilities Index145.8148.4Inkling
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
Agentic work benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
AA Agentic Index15.322.5Inkling
Design Arena: agents building web appsNot measured1196Only Inkling measured
LiveBench researchNot measured59.9%Only Inkling measured
LiveBench browserNot measured16.0%Only Inkling measured
LiveBench long agenticNot measured14.1%Only Inkling measured
SREBench (Vals AI)Not measured0.0%Only Inkling measured
Finance Agent (Vals AI)27.9%46.6%Inkling
Tax Agent Bench (Vals AI)6.9%15.3%Inkling
Legal Research Bench (Vals AI)10.6%28.4%Inkling
Harvey's Legal Agent Benchmark (Vals AI)Not measured3.8%Only Inkling measured
Excel Modeling Benchmark (Vals AI)28.4%38.4%Inkling
τ²-Bench Telecom84.8%Not measuredOnly MiniMax M2.7 measured
APEX-AgentsNot measured33.8%Only Inkling measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
GPQA Diamond86.6%87.1%Inkling
LiveBench reasoningNot measured78.3%Only Inkling measured
MMMU Pro (Vals AI)Not measured78.5%Only Inkling measured
GPQA Diamond (Artificial Analysis run)87.4%87.2%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)29.6%31.9%Inkling
GPQA Diamond (Epoch AI run)Not measured88.3%Only Inkling measured
ARC-AGINot measured79.5%Only Inkling measured
ARC-AGI-2Not measured36.5%Only Inkling measured
SimpleBenchNot measured50.0%Only Inkling measured
Chess puzzlesNot measured21.0%Only Inkling measured
LMArena Text: hard prompts14221451Inkling
LMArena Text: expert14431466Inkling
LMArena Text: hard prompts in English14411448Inkling
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
AIME91.0%Not measuredOnly MiniMax M2.7 measured
OTIS Mock AIMENot measured88.9%Only Inkling measured
FrontierMath, tiers 1 to 3Not measured33.3%Only Inkling measured
FrontierMath, tier 4Not measured4.9%Only Inkling measured
ProofBench3.0%0.0%MiniMax M2.7
LMArena Text: math14211479Inkling
LMArena Text: mathematical work14371460Inkling
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
Knowledge benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
MMLU Pro80.4%86.3%Inkling
LegalBench (Vals AI)84.0%83.0%MiniMax M2.7
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%68.6%Inkling
TaxEval (Vals AI)66.6%75.3%Inkling
MortgageTax (Vals AI)Not measured64.0%Only Inkling measured
MedCode (Vals AI)34.4%41.2%Inkling
SimpleQA VerifiedNot measured40.3%Only Inkling measured
LMArena Text: science14161455Inkling
LMArena Text: medicine and healthcare14091447Inkling
LMArena Text: legal and government14031448Inkling
LMArena Text: business and finance14071438Inkling
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
Design Arena: websites12431224MiniMax M2.7
Design Arena: UI components12101198MiniMax M2.7
Design Arena: game dev12091165MiniMax M2.7
Design Arena: data viz12331156MiniMax M2.7
Design Arena: 3D11951160MiniMax M2.7
Design Arena: all code categories12331205MiniMax M2.7
Design Arena: SVG11371108MiniMax M2.7
Design Arena: ASCII art11361089MiniMax M2.7
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for MiniMax M2.7 and Inkling
BenchmarkMiniMax M2.7InklingLeader
Vals IndexNot measured29.0%Only Inkling measured
LiveBench data analysisNot measured72.8%Only Inkling measured
Public Benefits Bench (Vals AI)Not measured58.5%Only Inkling measured
SAGE (Vals AI)Not measured36.5%Only Inkling measured
MedScribe (Vals AI)79.9%85.4%Inkling
Vals Multimodal IndexNot measured49.4%Only Inkling measured
IFBench75.7%Not measuredOnly MiniMax M2.7 measured
Long context reasoning (AA-LCR)78.3%77.3%MiniMax M2.7
DTBenchNot measured87.5%Only Inkling measured
LMCANot measured37.6%Only Inkling measured
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051442Inkling
LMArena Text: instruction following14051425Inkling
LMArena Text: creative writing13541390Inkling
LMArena Text: English14261442Inkling
LMArena Text: non-English13821434Inkling
LMArena Text: Chinese14421493Inkling
LMArena Text: German13981445Inkling
LMArena Text: Japanese12601429Inkling
LMArena Text: Korean13141403Inkling
LMArena Text: French14241455Inkling
LMArena Text: Spanish14021449Inkling
LMArena Text: Russian13831430Inkling
LMArena Text: Polish13871450Inkling
LMArena Text: multi-turn14121437Inkling
LMArena Text: longer queries14181435Inkling
LMArena Text: writing and language13761404Inkling
LMArena Text: entertainment and media13601394Inkling
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 Inkling
BenchmarkMiniMax M2.7InklingLeader
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
Inkling$0.0030Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
Inkling$0.061Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
Inkling$0.235Fits in one request

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 Inkling
SpecificationMiniMax M2.7Thinking Machines Inkling
MakerMiniMaxThinking Machines
WeightsOpen weightsOpen weights
ReleasedMarch 18, 2026July 17, 2026
Context window205K524K
Input $/Mtok$0.30$0.975
Output $/Mtok$1.20$4.05
Coding index36.231.5
Independent measurements behind it36
Cost per solved task$0.64$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than Inkling for coding?

Pick MiniMax M2.7 for coding: it scores 36.2 on the Vibe Coding Index against 31.5 for Inkling, though on 3 benchmarks against 6. Pick Inkling for a larger context window (524K against 205K tokens) and work measured by LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, MiniMax M2.7 or Inkling?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, MiniMax M2.7 costs $0.64 and Inkling $0.76.

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

Inkling, with 524K tokens against 205K.

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

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

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<iframe src="https://llmbenchmark.ai/embed/compare/minimax-minimax-m2-7-vs-thinkingmachines-inkling" title="MiniMax M2.7 vs Inkling, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/minimax-minimax-m2-7-vs-thinkingmachines-inkling">LLMBenchmark.ai, MiniMax M2.7 vs Inkling</a></p>