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Qwen3.7 Plus vs Inkling Small

Qwen3.7 Plus leads Inkling Small on coding, 33.2 to 27.3 on the Vibe Coding Index, at about the same output price ($1.28 vs $1.20 per million). Updated October 21, 2026; 59 benchmarks have a result for both.

Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
47
T Inkling SmallThinking Machines
Coding
27.3
Overall
43.6
Output $/M
$1.20
12
vs boards won of 59 shared

Qwen3.7 Plus or Inkling Small: which to pick

Pick Qwen3.7 Plus for coding: it scores 33.2 on the Vibe Coding Index against 27.3 for Inkling Small, though on 2 benchmarks against 4.

Pick Inkling Small for output tokens 1.1x cheaper ($1.20 vs $1.28 per million) and work measured by Code migration (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Shared results
59
Qwen3.7 Plus only
16
Inkling Small only
25
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
Qwen3.7 Plus 33.2 from 2 benchmarks, Inkling Small 27.3 from 4 benchmarks.
Widest category
Coding, 8.2 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Qwen3.7 Plus 46.4% against Inkling Small 19.1%, 27.3 points apart on a 0 to 100 scale.
Output price
Qwen3.7 Plus $1.28 against Inkling Small $1.20 per million output tokens, 1.1x apart.
Context window
Qwen3.7 Plus takes 1M tokens, Inkling Small 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 PlusBarsInkling SmallTies
Coding53
Intelligence02
Agentic work14
Reasoning81
Math31
Knowledge50
General251
All shared boards4712
CodingLike-for-likeSix of these boards feed the Vibe Coding Index53
Coding benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
LMArena WebDevNot measured1409Only Inkling Small measured
AA Coding Index55.952.9Qwen3.7 Plus
LiveCodeBench (Vals AI)Not measured85.9%Only Inkling Small measured
SWE-bench Verified (Vals AI)Not measured82.2%Only Inkling Small measured
Terminal-Bench 4 (Vals AI)Not measured0.0%Only Inkling Small measured
Vibe Code Bench (Vals AI)46.4%19.1%Qwen3.7 Plus
Code migration (Vals AI)12.9%13.7%Inkling Small
ProgramBench (Vals AI)Not measured0.5%Only Inkling Small measured
IOI (Vals AI)Not measured9.3%Only Inkling Small measured
Terminal-Bench 2.1 (Vals AI)52.8%55.1%Inkling Small
SkillsBench (Vals AI)54.3%33.6%Qwen3.7 Plus
CyberBench (Vals AI)Not measured64.1%Only Inkling Small measured
SciCode46.1%49.7%Inkling Small
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Qwen3.7 Plus measured
FrontierCode10.2%Not measuredOnly Qwen3.7 Plus measured
LMArena Text: coding14731450Qwen3.7 Plus
LMArena Text: software and IT14731447Qwen3.7 Plus
LMArena WebDev: ReactNot measured1399Only Inkling Small measured
LMArena WebDev: HTMLNot measured1398Only Inkling Small measured
LMArena WebDev: from an imageNot measured1410Only Inkling Small measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
AA Intelligence Index25.225.7Inkling Small
Epoch Capabilities Index147.0150.3Inkling Small
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
AA Agentic Index17.523.5Inkling Small
Finance Agent (Vals AI)38.2%41.3%Inkling Small
Tax Agent Bench (Vals AI)10.5%15.4%Inkling Small
Legal Research Bench (Vals AI)16.4%25.5%Inkling Small
Harvey's Legal Agent Benchmark (Vals AI)Not measured2.9%Only Inkling Small measured
Excel Modeling Benchmark (Vals AI)49.3%31.8%Qwen3.7 Plus
τ²-Bench Telecom93.0%Not measuredOnly Qwen3.7 Plus measured
OSWorld 2.02.8%Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index81
Reasoning benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
GPQA DiamondNot measured83.6%Only Inkling Small measured
GPQA Diamond (Artificial Analysis run)90.0%89.5%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)35.6%33.3%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)87.9%88.5%Inkling Small
ARC-AGINot measured84.0%Only Inkling Small measured
ARC-AGI-2Not measured40.1%Only Inkling Small measured
Mystery game puzzles17.0%6.0%Qwen3.7 Plus
LMArena Text: hard prompts14601423Qwen3.7 Plus
LMArena Text: expert14661441Qwen3.7 Plus
LMArena Text: hard prompts in English14601429Qwen3.7 Plus
LMArena Vision: diagrams12921251Qwen3.7 Plus
LMArena Vision: homework12951257Qwen3.7 Plus
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index31
Math benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
OTIS Mock AIME93.3%90.0%Qwen3.7 Plus
FrontierMath, tiers 1 to 334.4%46.3%Inkling Small
FrontierMath, tier 4Not measured17.1%Only Inkling Small measured
ProofBenchNot measured6.0%Only Inkling Small measured
LMArena Text: math14671459Qwen3.7 Plus
LMArena Text: mathematical work14701441Qwen3.7 Plus
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
MMLU ProNot measured85.6%Only Inkling Small measured
LegalBench (Vals AI)Not measured83.0%Only Inkling Small measured
CorpFin (Vals AI)Not measured69.6%Only Inkling Small measured
TaxEval (Vals AI)Not measured75.5%Only Inkling Small measured
MortgageTax (Vals AI)66.2%62.3%Qwen3.7 Plus
MedCode (Vals AI)Not measured37.9%Only Inkling Small measured
SimpleQA VerifiedNot measured19.1%Only Inkling Small measured
LMArena Text: science14641428Qwen3.7 Plus
LMArena Text: medicine and healthcare14641413Qwen3.7 Plus
LMArena Text: legal and government14511415Qwen3.7 Plus
LMArena Text: business and finance14351413Qwen3.7 Plus
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
Design Arena: websites1269Not measuredOnly Qwen3.7 Plus measured
Design Arena: UI components1261Not measuredOnly Qwen3.7 Plus measured
Design Arena: game dev1262Not measuredOnly Qwen3.7 Plus measured
Design Arena: data viz1276Not measuredOnly Qwen3.7 Plus measured
Design Arena: 3D1239Not measuredOnly Qwen3.7 Plus measured
Design Arena: all code categories1269Not measuredOnly Qwen3.7 Plus measured
Design Arena: SVG1208Not measuredOnly Qwen3.7 Plus measured
Design Arena: ASCII art1143Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index251
General benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
Vals IndexNot measured27.6%Only Inkling Small measured
Public Benefits Bench (Vals AI)Not measured59.4%Only Inkling Small measured
SAGE (Vals AI)39.3%32.7%Qwen3.7 Plus
MedScribe (Vals AI)Not measured84.1%Only Inkling Small measured
Vals Multimodal Index53.9%50.0%Qwen3.7 Plus
IFBench78.0%Not measuredOnly Qwen3.7 Plus measured
Long context reasoning (AA-LCR)73.0%75.7%Inkling Small
DTBench84.0%Not measuredOnly Qwen3.7 Plus measured
LMCA37.6%Not measuredOnly Qwen3.7 Plus measured
LMArena Text14541413Qwen3.7 Plus
LMArena Text: instruction following14391399Qwen3.7 Plus
LMArena Text: creative writing14381334Qwen3.7 Plus
LMArena Vision12781237Qwen3.7 Plus
LMArena Text: English14581421Qwen3.7 Plus
LMArena Text: non-English14451401Qwen3.7 Plus
LMArena Text: Chinese15091464Qwen3.7 Plus
LMArena Text: German14711408Qwen3.7 Plus
LMArena Text: Japanese14121401Qwen3.7 Plus
LMArena Text: Korean14131367Qwen3.7 Plus
LMArena Text: French14721435Qwen3.7 Plus
LMArena Text: Spanish14571422Qwen3.7 Plus
LMArena Text: Russian14571394Qwen3.7 Plus
LMArena Text: Polish14491428Qwen3.7 Plus
LMArena Text: multi-turn14591416Qwen3.7 Plus
LMArena Text: longer queries14541402Qwen3.7 Plus
LMArena Text: writing and language14371357Qwen3.7 Plus
LMArena Text: entertainment and media14221352Qwen3.7 Plus
LMArena Vision: English12801243Qwen3.7 Plus
LMArena Vision: Chinese13321292Qwen3.7 Plus
LMArena Vision: reading text12881243Qwen3.7 Plus
LMArena Vision: humor12611207Qwen3.7 Plus
LMArena Vision: creative writing12581205Qwen3.7 Plus
LMArena Document1444Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.7 Plus and Inkling Small
BenchmarkQwen3.7 PlusInkling SmallLeader
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 Plus$0.0010Fits in one request
Inkling Small$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

Qwen3.7 Plus$0.020Fits in one request
Inkling Small$0.026Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Qwen3.7 Plus$0.077Fits in one request
Inkling Small$0.102Fits in one request

Qwen3.7 Plus 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 Plus and Inkling Small
SpecificationQwen3.7 PlusThinking Machines Inkling Small
MakerQwenThinking Machines
WeightsNo public weights listedOpen weights
ReleasedJune 3, 2026July 30, 2026
Context window1M524K
Input $/Mtok$0.32$0.45
Output $/Mtok$1.28$1.20
Coding index33.227.3
Independent measurements behind it24
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.7 Plus better than Inkling Small for coding?

Pick Qwen3.7 Plus for coding: it scores 33.2 on the Vibe Coding Index against 27.3 for Inkling Small, though on 2 benchmarks against 4. Pick Inkling Small for output tokens 1.1x cheaper ($1.20 vs $1.28 per million) and work measured by Code migration (Vals AI) or Terminal-Bench 2.1 (Vals AI), where it leads.

Which is cheaper, Qwen3.7 Plus or Inkling Small?

Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; Inkling Small costs $0.45 and $1.20. Cost per solved task is known for Inkling Small only.

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

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

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

59 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Plus's coding index rests on 2 independent benchmarks and Inkling Small's on 4. 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-plus-vs-thinkingmachines-inkling-small" title="Qwen3.7 Plus vs Inkling Small, 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-plus-vs-thinkingmachines-inkling-small">LLMBenchmark.ai, Qwen3.7 Plus vs Inkling Small</a></p>