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GLM 4.5 Air vs Inkling Small

Inkling Small leads GLM 4.5 Air on the Artificial Analysis Intelligence Index, 25.7 to 11.1, at about the same output price ($1.20 vs $1.10 per million). Updated October 21, 2026; 32 benchmarks have a result for both.

GLM 4.5 AirZ.ai
Coding
No data
Overall
No data
Output $/M
$1.10
1
T Inkling SmallThinking Machines
Coding
27.3
Overall
43.6
Output $/M
$1.20
31
vs boards won of 32 shared

GLM 4.5 Air or Inkling Small: which to pick

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding.

Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by LMArena Text: creative writing, where it leads.

Shared results
32
GLM 4.5 Air only
16
Inkling Small only
52
Like-for-like categories
6 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
GLM 4.5 Air not benchmarked, Inkling Small 27.3 from 4 benchmarks.
Widest category
Intelligence, 14.6 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5 Air 46.7% against Inkling Small 75.7%, 29.0 points apart on a 0 to 100 scale.
Output price
GLM 4.5 Air $1.10 against Inkling Small $1.20 per million output tokens, 1.1x apart.
Context window
GLM 4.5 Air takes 131K 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
CategoryGLM 4.5 AirBarsInkling SmallTies
Coding02
Intelligence01
Reasoning05
Math02
Knowledge04
General117
All shared boards131
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling SmallLeader
LMArena WebDevNot measured1409Only Inkling Small measured
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
LiveCodeBench (Artificial Analysis run)68.4%Not measuredOnly GLM 4.5 Air measured
SciCodeNot measured49.7%Only Inkling Small measured
Terminal-Bench Hard (Artificial Analysis run)20.5%Not measuredOnly GLM 4.5 Air measured
GSO-Bench2.9%Not measuredOnly GLM 4.5 Air measured
LMArena Text: coding13971450Inkling Small
LMArena Text: software and IT14011447Inkling Small
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 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling SmallLeader
AA Intelligence Index11.125.7Inkling Small
Epoch Capabilities IndexNot measured150.3Only Inkling Small measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Agentic work benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling 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 Telecom46.5%Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling SmallLeader
GPQA DiamondNot measured83.6%Only Inkling Small measured
GPQA Diamond (Artificial Analysis run)73.3%89.5%Inkling Small
Humanity's Last Exam (Artificial Analysis run)7.0%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 prompts13791423Inkling Small
LMArena Text: expert13701441Inkling Small
LMArena Text: hard prompts in English13881429Inkling Small
LMArena Vision: diagramsNot measured1251Only Inkling Small measured
LMArena Vision: homeworkNot measured1257Only Inkling Small measured
Kagi LLM Benchmark43.0%Not measuredOnly GLM 4.5 Air measured
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 GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling SmallLeader
AA Math Index80.7Not measuredOnly GLM 4.5 Air measured
AIME 2025 (Artificial Analysis run)80.7%Not measuredOnly GLM 4.5 Air measured
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: math13961459Inkling Small
LMArena Text: mathematical work13961441Inkling Small
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling 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
MMLU Pro (Artificial Analysis run)81.5%Not measuredOnly GLM 4.5 Air measured
SimpleQA VerifiedNot measured19.1%Only Inkling Small measured
LMArena Text: science14071428Inkling Small
LMArena Text: medicine and healthcare14021413Inkling Small
LMArena Text: legal and government13821415Inkling Small
LMArena Text: business and finance13711413Inkling Small
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling SmallLeader
Design Arena: websites1146Not measuredOnly GLM 4.5 Air measured
Design Arena: UI components1123Not measuredOnly GLM 4.5 Air measured
Design Arena: game dev1094Not measuredOnly GLM 4.5 Air measured
Design Arena: data viz1186Not measuredOnly GLM 4.5 Air measured
Design Arena: 3D1123Not measuredOnly GLM 4.5 Air measured
Design Arena: all code categories1137Not measuredOnly GLM 4.5 Air measured
Design Arena: SVG1071Not measuredOnly GLM 4.5 Air measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index117
General benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling 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
IFBench37.6%Not measuredOnly GLM 4.5 Air measured
Long context reasoning (AA-LCR)46.7%75.7%Inkling Small
LMArena Text13841413Inkling Small
LMArena Text: instruction following13541399Inkling Small
LMArena Text: creative writing13431334GLM 4.5 Air
LMArena VisionNot measured1237Only Inkling Small measured
LMArena Text: English13971421Inkling Small
LMArena Text: non-English13661401Inkling Small
LMArena Text: Chinese14261464Inkling Small
LMArena Text: German13771408Inkling Small
LMArena Text: Japanese13481401Inkling Small
LMArena Text: Korean13081367Inkling Small
LMArena Text: French14001435Inkling Small
LMArena Text: Spanish13851422Inkling Small
LMArena Text: Russian13731394Inkling Small
LMArena Text: Polish13681428Inkling Small
LMArena Text: multi-turn13711416Inkling Small
LMArena Text: longer queries13661402Inkling Small
LMArena Text: writing and language13541357Inkling Small
LMArena Text: entertainment and media13391352Inkling Small
LMArena Vision: EnglishNot measured1243Only Inkling Small measured
LMArena Vision: ChineseNot measured1292Only Inkling Small measured
LMArena Vision: reading textNot measured1243Only Inkling Small measured
LMArena Vision: humorNot measured1207Only Inkling Small measured
LMArena Vision: creative writingNot measured1205Only Inkling Small measured
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5 Air and Inkling Small
BenchmarkGLM 4.5 AirInkling 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

GLM 4.5 Air$0.0008Fits in one request
Inkling Small$0.0010Fits in one request

GLM 4.5 Air costs less

Repository review

50K input + 3K output tokens

GLM 4.5 Air$0.013Fits in one request
Inkling Small$0.026Fits in one request

GLM 4.5 Air costs less

Agent loop

200K input + 10K output tokens

GLM 4.5 Air$0.051Exceeds the context window
Inkling Small$0.102Fits in one request

GLM 4.5 Air 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 GLM 4.5 Air and Inkling Small
SpecificationZ.ai GLM 4.5 AirThinking Machines Inkling Small
MakerZ.aiThinking Machines
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025July 30, 2026
Context window131K524K
Input $/Mtok$0.20$0.45
Output $/Mtok$1.10$1.20
Coding indexNot benchmarked27.3
Independent measurements behind it04
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 Air better than Inkling Small for coding?

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; GLM 4.5 Air has none, so the two cannot be ranked on coding. Pick GLM 4.5 Air for output tokens 1.1x cheaper ($1.10 vs $1.20 per million) and work measured by LMArena Text: creative writing, where it leads.

Which is cheaper, GLM 4.5 Air or Inkling Small?

GLM 4.5 Air costs $0.20 per million input tokens and $1.10 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, GLM 4.5 Air or Inkling Small?

Inkling Small, with 524K tokens against 131K.

How many benchmarks is the GLM 4.5 Air vs Inkling Small comparison based on?

32 benchmarks have a result for both models as of October 21, 2026. GLM 4.5 Air's coding index rests on 0 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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