MiniMax M2.7 vs Inkling 2 Small

Inkling 2 Small leads MiniMax M2.7 on coding, 48.9 to 36.2 on the Vibe Coding Index, and Inkling 2 Small costs 1.3x less per output token ($1.00 vs $1.32 per million). Updated November 14, 2026; 29 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Inkling 2 Small

MiniMax M2.7MiniMax

Coding: 36.2
Overall: No data
Output $/M: $1.32

T Inkling 2 SmallThinking Machines

Coding: 48.9
Overall: 56.9
Output $/M: $1.00

vs boards won of 29 shared

MiniMax M2.7 or Inkling 2 Small: which to pick

Pick Inkling 2 Small for coding: it scores 48.9 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task Model BInkling 2 SmallThinking Machines48.9/1003 independent benchmarksNo cost per solved task

294722

Shared results: 29
MiniMax M2.7 only: 47
Inkling 2 Small only: 22
Like-for-like categories: 5 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.

Coding
Vibe Coding Index, six public coding benchmarks
Inkling 2 Small
Inkling 2 Small scores 48.9 against 36.2.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
No call
Only Inkling 2 Small has a AA Intelligence Index result, 30.6.
Directional only
Agentic work
AA Agentic Index
No call
Only MiniMax M2.7 has a AA Agentic Index result, 15.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M2.7 has a GPQA Diamond result, 86.6%.
Directional only
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.7 has a MMLU Pro result, 80.4%.
Directional only
Web design
Design Arena: websites
No call
Only MiniMax M2.7 has a Design Arena: websites result, 1234.
Directional only
General
Vals Index
No call
Only Inkling 2 Small has a Vals Index result, 56.1%.
Directional only
Long documents
Listed context window
Inkling 2 Small
Inkling 2 Small takes 1.05M tokens against 197K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Inkling 2 Small
MiniMax M2.7 $0.0011, Inkling 2 Small $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.7 has the number, $0.64.
Directional only

At a glance

Coding index: MiniMax M2.7 36.2 from 3 benchmarks, Inkling 2 Small 48.9 from 3 benchmarks.
Widest category: Agentic work, 34.0 points apart on average over 2 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): MiniMax M2.7 11.9% against Inkling 2 Small 81.5%, 69.6 points apart on a 0 to 100 scale.
Output price: MiniMax M2.7 $1.32 against Inkling 2 Small $1.00 per million output tokens, 1.3x apart.
Context window: MiniMax M2.7 takes 197K tokens, Inkling 2 Small 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
Category	MiniMax M2.7	Inkling 2 Small
Coding	1	8
Agentic work	0	2
Reasoning	2	2
Knowledge	1	1
General	7	5
All shared boards	11	18

CodingLike-for-likeSix of these boards feed the Vibe Coding Index18

Coding benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
LMArena WebDev	1398	1647	Inkling 2 Small
AA Coding Index	52.6	Not measured	Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)	79.9%	Not measured	Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)	73.8%	Not measured	Only MiniMax M2.7 measured
Terminal-Bench 4 (Vals AI)	Not measured	12.6%	Only Inkling 2 Small measured
Vibe Code Bench (Vals AI)	11.9%	81.5%	Inkling 2 Small
Code migration (Vals AI)	8.7%	Not measured	Only MiniMax M2.7 measured
ProgramBench (Vals AI)	0.0%	0.5%	Inkling 2 Small
Terminal-Bench 2.1 (Vals AI)	48.7%	Not measured	Only MiniMax M2.7 measured
SWE-bench Multimodal (Vals AI)	Not measured	43.1%	Only Inkling 2 Small measured
CyberBench (Vals AI)	Not measured	72.7%	Only Inkling 2 Small measured
SciCode	50.1%	52.3%	Inkling 2 Small
Terminal-Bench Hard (Artificial Analysis run)	39.4%	Not measured	Only MiniMax M2.7 measured
Terminal-Bench 4.0 (Artificial Analysis run)	0.0%	13.1%	Inkling 2 Small
FrontierCode 2.0	Not measured	25.4%	Only Inkling 2 Small measured
Terminal-Bench	45.1%	Not measured	Only MiniMax M2.7 measured
WeirdML	37.0%	Not measured	Only MiniMax M2.7 measured
ALE-Bench	599.3	Not measured	Only MiniMax M2.7 measured
LMArena Text: coding	1453	1455	Inkling 2 Small
LMArena Text: software and IT	1446	1443	MiniMax M2.7
LMArena WebDev: React	1386	1660	Inkling 2 Small
LMArena WebDev: HTML	1401	1661	Inkling 2 Small
SWE-Bench Pro V2	Not measured	97.7%	Only Inkling 2 Small measured
Terminal-Bench 2.0	45.1%	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 28 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared

Intelligence benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
AA Intelligence Index	Not measured	30.6	Only Inkling 2 Small measured
Neither model has a result on the other 1 board here

Agentic workLike-for-likePublic boards, shown as published, kept out of the index02

Agentic work benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
AA Agentic Index	15.3	Not measured	Only MiniMax M2.7 measured
SREBench (Vals AI)	Not measured	1.9%	Only Inkling 2 Small measured
Finance Agent (Vals AI)	27.9%	Not measured	Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)	6.9%	38.9%	Inkling 2 Small
Legal Research Bench (Vals AI)	10.6%	46.6%	Inkling 2 Small
Harvey's Legal Agent Benchmark (Vals AI)	Not measured	21.7%	Only Inkling 2 Small measured
Excel Modeling Benchmark (Vals AI)	28.4%	Not measured	Only MiniMax M2.7 measured
BioMysteryBench (Vals AI)	Not measured	70.0%	Only Inkling 2 Small measured
Terminal-Bench-Science (Vals AI)	Not measured	2.9%	Only Inkling 2 Small measured
Vals Science Index	Not measured	32.7%	Only Inkling 2 Small measured
τ²-Bench Telecom	84.8%	Not measured	Only MiniMax M2.7 measured
APEX-Agents	Not measured	46.8%	Only Inkling 2 Small measured
MCP Atlas	Not measured	85.4%	Only Inkling 2 Small measured
Toolathlon-Verified	47.5%	Not measured	Only 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 index22

Reasoning benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
GPQA Diamond	86.6%	Not measured	Only MiniMax M2.7 measured
MysteryMechanism (Vals AI)	Not measured	25.2%	Only Inkling 2 Small measured
GPQA Diamond (Artificial Analysis run)	87.4%	Not measured	Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)	29.6%	44.1%	Inkling 2 Small
HLE-Diamond (Artificial Analysis run)	Not measured	28.7%	Only Inkling 2 Small measured
CritPt v2, hard subset (Artificial Analysis run)	Not measured	35.0%	Only Inkling 2 Small measured
ARC-AGI	Not measured	96.5%	Only Inkling 2 Small measured
ARC-AGI-2	Not measured	81.7%	Only Inkling 2 Small measured
LMArena Text: hard prompts	1422	1421	MiniMax M2.7
LMArena Text: expert	1443	1478	Inkling 2 Small
LMArena Text: hard prompts in English	1440	1424	MiniMax M2.7
Neither model has a result on the other 15 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared

Math benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
AIME	91.0%	Not measured	Only MiniMax M2.7 measured
ProofBench	3.0%	Not measured	Only MiniMax M2.7 measured
LMArena Text: math	1422	Not measured	Only MiniMax M2.7 measured
LMArena Text: mathematical work	1437	Not measured	Only MiniMax M2.7 measured
MathArena	Not measured	42.4%	Only Inkling 2 Small measured
Neither model has a result on the other 9 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11

Knowledge benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
MMLU Pro	80.4%	Not measured	Only MiniMax M2.7 measured
LegalBench (Vals AI)	84.0%	Not measured	Only MiniMax M2.7 measured
CaseLaw (Vals AI)	60.9%	Not measured	Only MiniMax M2.7 measured
CorpFin (Vals AI)	61.2%	Not measured	Only MiniMax M2.7 measured
TaxEval (Vals AI)	66.6%	Not measured	Only MiniMax M2.7 measured
MedCode (Vals AI)	34.4%	Not measured	Only MiniMax M2.7 measured
AA-Omniscience	Not measured	16.1	Only Inkling 2 Small measured
LMArena Text: science	1416	1409	MiniMax M2.7
LMArena Text: medicine and healthcare	1410	Not measured	Only MiniMax M2.7 measured
LMArena Text: legal and government	1402	Not measured	Only MiniMax M2.7 measured
LMArena Text: business and finance	1407	1415	Inkling 2 Small
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 M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
Design Arena: websites	1234	Not measured	Only MiniMax M2.7 measured
Design Arena: UI components	1202	Not measured	Only MiniMax M2.7 measured
Design Arena: game dev	1198	Not measured	Only MiniMax M2.7 measured
Design Arena: data viz	1229	Not measured	Only MiniMax M2.7 measured
Design Arena: 3D	1175	Not measured	Only MiniMax M2.7 measured
Design Arena: all code categories	1223	Not measured	Only MiniMax M2.7 measured
Design Arena: SVG	1123	Not measured	Only MiniMax M2.7 measured
Design Arena: ASCII art	1129	Not measured	Only 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 index75

General benchmarks for MiniMax M2.7 and Inkling 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
Vals Index	Not measured	56.1%	Only Inkling 2 Small measured
SAGE (Vals AI)	Not measured	88.6%	Only Inkling 2 Small measured
MedScribe (Vals AI)	79.9%	Not measured	Only MiniMax M2.7 measured
IFBench	75.7%	Not measured	Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)	78.3%	83.3%	Inkling 2 Small
GDPval-AA	1015	1630	Inkling 2 Small
ExploitBench	13.3%	Not measured	Only MiniMax M2.7 measured
LMArena Text	1405	1403	MiniMax M2.7
LMArena Text: instruction following	1405	1408	Inkling 2 Small
LMArena Text: creative writing	1354	1348	MiniMax M2.7
LMArena Text: English	1425	1418	MiniMax M2.7
LMArena Text: non-English	1383	1390	Inkling 2 Small
LMArena Text: Chinese	1439	Not measured	Only MiniMax M2.7 measured
LMArena Text: German	1398	Not measured	Only MiniMax M2.7 measured
LMArena Text: Japanese	1252	Not measured	Only MiniMax M2.7 measured
LMArena Text: Korean	1314	Not measured	Only MiniMax M2.7 measured
LMArena Text: French	1425	Not measured	Only MiniMax M2.7 measured
LMArena Text: Spanish	1406	Not measured	Only MiniMax M2.7 measured
LMArena Text: Russian	1383	1377	MiniMax M2.7
LMArena Text: Polish	1386	Not measured	Only MiniMax M2.7 measured
LMArena Text: multi-turn	1412	1408	MiniMax M2.7
LMArena Text: longer queries	1418	1403	MiniMax M2.7
LMArena Text: writing and language	1376	1381	Inkling 2 Small
LMArena Text: entertainment and media	1360	1359	MiniMax M2.7
Neither model has a result on the other 25 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 2 Small
Benchmark	MiniMax M2.7	Inkling 2 Small	Leader
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$0.0011Fits in one request

Inkling 2 Small$0.0008Fits in one request

Inkling 2 Small costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.024Fits in one request

Inkling 2 Small$0.018Fits in one request

Inkling 2 Small costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.094Exceeds the context window

Inkling 2 Small$0.070Fits in one request

Inkling 2 Small 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 2 Small
Specification	MiniMax M2.7	Thinking Machines Inkling 2 Small
Maker	MiniMax	Thinking Machines
Weights	Open weights	Open weights
Released	March 18, 2026	November 9, 2026
Context window	197K	1.05M
Input $/Mtok	$0.405	$0.30
Output $/Mtok	$1.32	$1.00
Coding index	36.2	48.9
Independent measurements behind it	3	3
Cost per solved task	$0.64	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is MiniMax M2.7 better than Inkling 2 Small for coding?

Pick Inkling 2 Small for coding: it scores 48.9 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for work measured by LMArena Text: software and IT or LMArena Text: hard prompts, where it leads.

Which is cheaper, MiniMax M2.7 or Inkling 2 Small?

MiniMax M2.7 costs $0.405 per million input tokens and $1.32 per million output tokens; Inkling 2 Small costs $0.30 and $1.00. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or Inkling 2 Small?

Inkling 2 Small, with 1.05M tokens against 197K.

How many benchmarks is the MiniMax M2.7 vs Inkling 2 Small comparison based on?

29 benchmarks have a result for both models as of November 14, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and Inkling 2 Small's on 3. Where only one model has a result, the page says so instead of naming a winner.

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MiniMax M2.7 or Inkling 2 Small: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

General

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next