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Qwen3.7 Max vs Inkling

Qwen3.7 Max leads Inkling on coding, 54.1 to 31.5 on the Vibe Coding Index, at about the same output price ($4.425 vs $4.05 per million). Updated October 21, 2026; 47 benchmarks have a result for both.

Replace Qwen3.7 Max Replace Inkling
Qwen3.7 MaxQwen
Coding
54.1
Overall
61.7
Output $/M
$4.425
40
T InklingThinking Machines
Coding
31.5
Overall
46.5
Output $/M
$4.05
5
vs boards won of 47 shared, 2 tied

Qwen3.7 Max or Inkling: which to pick

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 31.5 for Inkling, though on 3 benchmarks against 6.

Pick Inkling for output tokens 1.1x cheaper ($4.05 vs $4.425 per million) and a lower cost per solved task ($0.76 against $4.69).

Model AQwen3.7 MaxQwen54.1/1003 independent benchmarks$4.69 per solved taskModel BInklingThinking Machines31.5/1006 independent benchmarks$0.76 per solved task
Shared results
47
Qwen3.7 Max only
12
Inkling only
55
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
Qwen3.7 Max 54.1 from 3 benchmarks, Inkling 31.5 from 6 benchmarks.
Widest category
Math, 23.3 points apart on average over 4 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: Qwen3.7 Max 64.6% against Inkling 33.3%, 31.2 points apart on a 0 to 100 scale.
Output price
Qwen3.7 Max $4.425 against Inkling $4.05 per million output tokens, 1.1x apart.
Context window
Qwen3.7 Max takes 1M 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
CategoryQwen3.7 MaxBarsInklingTies
Coding101
Intelligence20
Agentic work411 tie
Reasoning60
Math40
Knowledge321 tie
Web design80
General31
All shared boards4052 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index101
Coding benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDev15151414Qwen3.7 Max
AA Coding Index66.052.1Qwen3.7 Max
LiveCodeBench (Vals AI)87.1%85.5%Qwen3.7 Max
SWE-bench Verified (Vals AI)68.8%77.6%Inkling
Terminal-Bench 4 (Vals AI)Not measured0.5%Only Inkling measured
Vibe Code Bench (Vals AI)47.7%19.2%Qwen3.7 Max
Code migration (Vals AI)13.1%11.8%Qwen3.7 Max
ProgramBench (Vals AI)Not measured0.0%Only Inkling measured
IOI (Vals AI)Not measured14.9%Only Inkling measured
Terminal-Bench 2.1 (Vals AI)61.0%47.6%Qwen3.7 Max
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
SciCode49.5%47.0%Qwen3.7 Max
Terminal-Bench Hard (Artificial Analysis run)50.8%Not measuredOnly Qwen3.7 Max measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdMLNot measured32.3%Only Inkling measured
ALE-Bench1189.4946.0Qwen3.7 Max
LMArena Text: codingNot measured1466Only Inkling measured
LMArena Text: software and ITNot measured1465Only Inkling measured
LMArena WebDev: React15141404Qwen3.7 Max
LMArena WebDev: HTML15121399Qwen3.7 Max
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
AA Intelligence Index29.525.0Qwen3.7 Max
Epoch Capabilities Index154.0148.4Qwen3.7 Max
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
AA Agentic Index22.522.5Tie
Design Arena: agents building web apps12081196Qwen3.7 Max
Design Arena: agents building full-stack apps1191Not measuredOnly Qwen3.7 Max measured
Design Arena: agents building mobile apps1155Not measuredOnly Qwen3.7 Max measured
Design Arena: agents building Android apps1159Not measuredOnly Qwen3.7 Max measured
Design Arena: agents building Godot games1187Not measuredOnly Qwen3.7 Max measured
Design Arena: agents building games1161Not measuredOnly Qwen3.7 Max measured
Design Arena: HTML slides1158Not measuredOnly Qwen3.7 Max measured
Design Arena: PowerPoint slides1197Not measuredOnly Qwen3.7 Max 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)47.8%46.6%Qwen3.7 Max
Tax Agent Bench (Vals AI)15.8%15.3%Qwen3.7 Max
Legal Research Bench (Vals AI)25.5%28.4%Inkling
Harvey's Legal Agent Benchmark (Vals AI)Not measured3.8%Only Inkling measured
Excel Modeling Benchmark (Vals AI)57.0%38.4%Qwen3.7 Max
τ²-Bench Telecom94.7%Not measuredOnly Qwen3.7 Max measured
APEX-AgentsNot measured33.8%Only Inkling measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
GPQA Diamond90.2%87.1%Qwen3.7 Max
LiveBench reasoningNot measured78.3%Only Inkling measured
MMMU Pro (Vals AI)Not measured78.5%Only Inkling measured
GPQA Diamond (Artificial Analysis run)92.3%87.2%Qwen3.7 Max
Humanity's Last Exam (Artificial Analysis run)40.5%31.9%Qwen3.7 Max
GPQA Diamond (Epoch AI run)90.9%88.3%Qwen3.7 Max
ARC-AGINot measured79.5%Only Inkling measured
ARC-AGI-2Not measured36.5%Only Inkling measured
SimpleBench70.4%50.0%Qwen3.7 Max
Chess puzzles26.0%21.0%Qwen3.7 Max
Mystery game puzzles32.0%Not measuredOnly Qwen3.7 Max measured
EBR-bench9.5%Not measuredOnly Qwen3.7 Max measured
LMArena Text: hard promptsNot measured1451Only Inkling measured
LMArena Text: expertNot measured1466Only Inkling measured
LMArena Text: hard prompts in EnglishNot measured1448Only Inkling measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
OTIS Mock AIME95.6%88.9%Qwen3.7 Max
FrontierMath, tiers 1 to 364.6%33.3%Qwen3.7 Max
FrontierMath, tier 434.1%4.9%Qwen3.7 Max
ProofBench26.0%0.0%Qwen3.7 Max
LMArena Text: mathNot measured1479Only Inkling measured
LMArena Text: mathematical workNot measured1460Only Inkling measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
Knowledge benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
MMLU Pro89.3%86.3%Qwen3.7 Max
LegalBench (Vals AI)84.9%83.0%Qwen3.7 Max
CorpFin (Vals AI)63.7%68.6%Inkling
TaxEval (Vals AI)75.3%75.3%Tie
MortgageTax (Vals AI)Not measured64.0%Only Inkling measured
MedCode (Vals AI)38.8%41.2%Inkling
SimpleQA Verified55.8%40.3%Qwen3.7 Max
LMArena Text: scienceNot measured1455Only Inkling measured
LMArena Text: medicine and healthcareNot measured1447Only Inkling measured
LMArena Text: legal and governmentNot measured1448Only Inkling measured
LMArena Text: business and financeNot measured1438Only Inkling measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
Design Arena: websites12741224Qwen3.7 Max
Design Arena: UI components12701201Qwen3.7 Max
Design Arena: game dev12651166Qwen3.7 Max
Design Arena: data viz12751159Qwen3.7 Max
Design Arena: 3D12661161Qwen3.7 Max
Design Arena: all code categories12751206Qwen3.7 Max
Design Arena: SVG12171110Qwen3.7 Max
Design Arena: ASCII art12111089Qwen3.7 Max
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index31
General benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
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)79.4%85.4%Inkling
Vals Multimodal IndexNot measured49.4%Only Inkling measured
IFBench80.5%Not measuredOnly Qwen3.7 Max measured
Long context reasoning (AA-LCR)79.0%77.3%Qwen3.7 Max
DTBench92.3%87.5%Qwen3.7 Max
LMCA44.0%37.6%Qwen3.7 Max
LMArena TextNot measured1442Only Inkling measured
LMArena Text: instruction followingNot measured1425Only Inkling measured
LMArena Text: creative writingNot measured1390Only Inkling measured
LMArena Text: EnglishNot measured1442Only Inkling measured
LMArena Text: non-EnglishNot measured1434Only Inkling measured
LMArena Text: ChineseNot measured1493Only Inkling measured
LMArena Text: GermanNot measured1445Only Inkling measured
LMArena Text: JapaneseNot measured1429Only Inkling measured
LMArena Text: KoreanNot measured1403Only Inkling measured
LMArena Text: FrenchNot measured1455Only Inkling measured
LMArena Text: SpanishNot measured1449Only Inkling measured
LMArena Text: RussianNot measured1430Only Inkling measured
LMArena Text: PolishNot measured1450Only Inkling measured
LMArena Text: multi-turnNot measured1437Only Inkling measured
LMArena Text: longer queriesNot measured1435Only Inkling measured
LMArena Text: writing and languageNot measured1404Only Inkling measured
LMArena Text: entertainment and mediaNot measured1394Only Inkling measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.7 Max and Inkling
BenchmarkQwen3.7 MaxInklingLeader
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

Qwen3.7 Max$0.0037Fits in one request
Inkling$0.0030Fits in one request

Inkling costs less

Repository review

50K input + 3K output tokens

Qwen3.7 Max$0.087Fits in one request
Inkling$0.061Fits in one request

Inkling costs less

Agent loop

200K input + 10K output tokens

Qwen3.7 Max$0.339Fits in one request
Inkling$0.235Fits in one request

Inkling 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 Qwen3.7 Max and Inkling
SpecificationQwen3.7 MaxThinking Machines Inkling
MakerQwenThinking Machines
WeightsNo public weights listedOpen weights
ReleasedMay 21, 2026July 17, 2026
Context window1M524K
Input $/Mtok$1.475$0.975
Output $/Mtok$4.425$4.05
Coding index54.131.5
Independent measurements behind it36
Cost per solved task$4.69$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.7 Max better than Inkling for coding?

Pick Qwen3.7 Max for coding: it scores 54.1 on the Vibe Coding Index against 31.5 for Inkling, though on 3 benchmarks against 6. Pick Inkling for output tokens 1.1x cheaper ($4.05 vs $4.425 per million) and a lower cost per solved task ($0.76 against $4.69).

Which is cheaper, Qwen3.7 Max or Inkling?

Qwen3.7 Max costs $1.475 per million input tokens and $4.425 per million output tokens; Inkling costs $0.975 and $4.05. Per solved SWE-bench Verified task, Qwen3.7 Max costs $4.69 and Inkling $0.76.

Which has the bigger context window, Qwen3.7 Max or Inkling?

Qwen3.7 Max, with 1M tokens against 524K.

How many benchmarks is the Qwen3.7 Max vs Inkling comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Max'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/qwen3-7-max-vs-thinkingmachines-inkling" title="Qwen3.7 Max 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/qwen3-7-max-vs-thinkingmachines-inkling">LLMBenchmark.ai, Qwen3.7 Max vs Inkling</a></p>