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Qwen3.5-27B vs Inkling Small

Updated October 21, 2026. 43 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Qwen3.5-27B Replace Inkling Small
Qwen3.5-27BQwen
Coding
22.6
Overall
22.9
Output $/M
$2.16
15
T Inkling SmallThinking Machines
Coding
29.9
Overall
25.7
Output $/M
$1.20
28
vs boards won of 43 shared

Decision reading

Pick Inkling Small for coding: it scores 29.9 on the Vibe Coding Index against 22.6 for Qwen3.5-27B.

Pick Qwen3.5-27B when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Model AQwen3.5-27BQwen22.6/1001 independent benchmarkNo cost per solved taskModel BInkling SmallThinking Machines29.9/1001 independent benchmark$0.16 per solved task
Shared results
43
Qwen3.5-27B only
10
Inkling Small only
41
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Qwen3.5-27B 22.6 from 1 benchmark, Inkling Small 29.9 from 1 benchmark.
Widest category
Coding, 5.0 points apart on average over 5 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Qwen3.5-27B 23.9% against Inkling Small 33.3%, 9.4 points apart on a 0 to 100 scale.
Output price
Qwen3.5-27B $2.16 against Inkling Small $1.20 per million output tokens, 1.8x apart.
Context window
Qwen3.5-27B takes 262K 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
CategoryQwen3.5-27BBarsInkling SmallTies
Coding05
Intelligence01
Reasoning07
Math02
Knowledge22
General1311
All shared boards1528
CodingLike-for-likeFour of these boards feed the Vibe Coding Index05
Coding benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
LMArena WebDev13581409Inkling Small
AA Coding IndexNot measured52.9Only Inkling Small measured
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)Not measured19.1%Only Inkling Small measured
Code migration (Vals AI)Not measured13.7%Only Inkling Small measured
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)Not measured55.1%Only Inkling Small measured
SkillsBench (Vals AI)Not measured33.6%Only Inkling Small measured
CyberBench (Vals AI)Not measured64.1%Only Inkling Small measured
SciCodeNot measured49.7%Only Inkling Small measured
Terminal-Bench Hard (Artificial Analysis run)32.6%Not measuredOnly Qwen3.5-27B measured
WeirdML39.5%Not measuredOnly Qwen3.5-27B measured
ALE-Bench349.4Not measuredOnly Qwen3.5-27B measured
LMArena Text: coding14271450Inkling Small
LMArena Text: software and IT14311447Inkling Small
LMArena WebDev: React13461399Inkling Small
LMArena WebDev: HTML13861398Inkling Small
LMArena WebDev: from an imageNot measured1410Only Inkling Small measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
AA Intelligence Index22.925.7Inkling Small
Epoch Capabilities IndexNot measured150.3Only Inkling Small measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
AA Agentic IndexNot measured23.5Only Inkling Small measured
Finance Agent (Vals AI)Not measured41.3%Only Inkling Small measured
Tax Agent Bench (Vals AI)Not measured15.4%Only Inkling Small measured
Legal Research Bench (Vals AI)Not measured25.5%Only Inkling Small measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured2.9%Only Inkling Small measured
Excel Modeling Benchmark (Vals AI)Not measured31.8%Only Inkling Small measured
τ²-Bench Telecom93.9%Not measuredOnly Qwen3.5-27B measured
Vending-Bench 2$202Not measuredOnly Qwen3.5-27B measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
GPQA DiamondNot measured83.6%Only Inkling Small measured
GPQA Diamond (Artificial Analysis run)85.8%89.5%Inkling Small
Humanity's Last Exam (Artificial Analysis run)23.9%33.3%Inkling Small
GPQA Diamond (Epoch AI run)Not measured88.5%Only Inkling Small measured
ARC-AGINot measured84.0%Only Inkling Small measured
ARC-AGI-2Not measured40.1%Only Inkling Small measured
Mystery game puzzlesNot measured6.0%Only Inkling Small measured
LMArena Text: hard prompts14151423Inkling Small
LMArena Text: expert14271441Inkling Small
LMArena Text: hard prompts in English14291429Inkling Small
LMArena Vision: diagrams12491251Inkling Small
LMArena Vision: homework12561257Inkling Small
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
OTIS Mock AIMENot measured90.0%Only Inkling Small measured
FrontierMath, tiers 1 to 3Not measured46.3%Only Inkling Small measured
FrontierMath, tier 4Not measured17.1%Only Inkling Small measured
ProofBenchNot measured6.0%Only Inkling Small measured
LMArena Text: math14291459Inkling Small
LMArena Text: mathematical work14291441Inkling Small
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
Knowledge benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling 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)Not measured62.3%Only Inkling Small measured
MedCode (Vals AI)Not measured37.9%Only Inkling Small measured
SimpleQA VerifiedNot measured19.1%Only Inkling Small measured
LMArena Text: science14371428Qwen3.5-27B
LMArena Text: medicine and healthcare14251413Qwen3.5-27B
LMArena Text: legal and government14051415Inkling Small
LMArena Text: business and finance13991413Inkling Small
Neither model has a result on the other 6 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index1311
General benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling SmallLeader
Vals IndexNot measured27.6%Only Inkling Small measured
Public Benefits Bench (Vals AI)Not measured59.4%Only Inkling Small measured
SAGE (Vals AI)Not measured32.7%Only Inkling Small measured
MedScribe (Vals AI)Not measured84.1%Only Inkling Small measured
Vals Multimodal IndexNot measured50.0%Only Inkling Small measured
IFBench75.6%Not measuredOnly Qwen3.5-27B measured
Long context reasoning (AA-LCR)77.7%75.7%Qwen3.5-27B
DTBench82.4%Not measuredOnly Qwen3.5-27B measured
LMCA34.0%Not measuredOnly Qwen3.5-27B measured
LMArena Text14091413Inkling Small
LMArena Text: instruction following13931399Inkling Small
LMArena Text: creative writing13621334Qwen3.5-27B
LMArena Vision12411237Qwen3.5-27B
LMArena Text: English14251421Qwen3.5-27B
LMArena Text: non-English13901401Inkling Small
LMArena Text: Chinese14781464Qwen3.5-27B
LMArena Text: German13921408Inkling Small
LMArena Text: Japanese13461401Inkling Small
LMArena Text: Korean13591367Inkling Small
LMArena Text: French14101435Inkling Small
LMArena Text: Spanish14071422Inkling Small
LMArena Text: Russian13901394Inkling Small
LMArena Text: Polish13751428Inkling Small
LMArena Text: multi-turn14101416Inkling Small
LMArena Text: longer queries14131402Qwen3.5-27B
LMArena Text: writing and language13801357Qwen3.5-27B
LMArena Text: entertainment and media13631352Qwen3.5-27B
LMArena Vision: English12461243Qwen3.5-27B
LMArena Vision: Chinese13011292Qwen3.5-27B
LMArena Vision: reading text12461243Qwen3.5-27B
LMArena Vision: humor12271207Qwen3.5-27B
LMArena Vision: captioning1170Not measuredOnly Qwen3.5-27B measured
LMArena Vision: recognizing things1210Not measuredOnly Qwen3.5-27B measured
LMArena Vision: creative writing12241205Qwen3.5-27B
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.5-27B and Inkling Small
BenchmarkQwen3.5-27BInkling 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

Qwen3.5-27B$0.0014Fits in one request
Inkling Small$0.0010Fits in one request

Inkling Small costs less

Repository review

50K input + 3K output tokens

Qwen3.5-27B$0.020Fits in one request
Inkling Small$0.026Fits in one request

Qwen3.5-27B costs less

Agent loop

200K input + 10K output tokens

Qwen3.5-27B$0.076Fits in one request
Inkling Small$0.102Fits in one request

Qwen3.5-27B 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 Qwen3.5-27B and Inkling Small
SpecificationQwen3.5-27BThinking Machines Inkling Small
MakerQwenThinking Machines
WeightsOpen weightsOpen weights
ReleasedFebruary 25, 2026July 30, 2026
Context window262K524K
Input $/Mtok$0.27$0.45
Output $/Mtok$2.16$1.20
Coding index22.629.9
Independent measurements behind it11
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5-27B better than Inkling Small for coding?

Pick Inkling Small for coding: it scores 29.9 on the Vibe Coding Index against 22.6 for Qwen3.5-27B. Pick Qwen3.5-27B when what matters is LMArena Text: science or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Qwen3.5-27B or Inkling Small?

Qwen3.5-27B costs $0.27 per million input tokens and $2.16 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, Qwen3.5-27B or Inkling Small?

Inkling Small, with 524K tokens against 262K.

How many benchmarks is the Qwen3.5-27B vs Inkling Small comparison based on?

43 benchmarks have a result for both models as of October 21, 2026. Qwen3.5-27B's coding index rests on 1 independent benchmark and Inkling Small's on 1. Where only one model has a result, the page says so instead of naming a winner.

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