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GLM 4.5V vs Inkling Small

Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 4.5V Replace Inkling Small
GLM 4.5VZ.ai
Coding
No data
Overall
7.6
Output $/M
$1.80
0
T Inkling SmallThinking Machines
Coding
27.3
Overall
25.7
Output $/M
$1.20
33
vs boards won of 33 shared

Decision reading

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

Compare them on price, context and the boards below.

Model AGLM 4.5VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BInkling SmallThinking Machines27.3/1004 independent benchmarks$0.16 per solved task
Shared results
33
GLM 4.5V only
7
Inkling Small only
51
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
GLM 4.5V not benchmarked, Inkling Small 27.3 from 4 benchmarks.
Widest category
Intelligence, 18.1 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5V 0.0% against Inkling Small 75.7%, 75.7 points apart on a 0 to 100 scale.
Output price
GLM 4.5V $1.80 against Inkling Small $1.20 per million output tokens, 1.5x apart.
Context window
GLM 4.5V takes 66K 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 4.5VBarsInkling SmallTies
Coding02
Intelligence01
Reasoning07
Math02
Knowledge04
General017
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling 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)60.4%Not measuredOnly GLM 4.5V measured
SciCodeNot measured49.7%Only Inkling Small measured
Terminal-Bench Hard (Artificial Analysis run)6.8%Not measuredOnly GLM 4.5V measured
LMArena Text: coding13471450Inkling Small
LMArena Text: software and IT13531447Inkling 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 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling SmallLeader
AA Intelligence Index7.625.7Inkling 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 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling 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 Telecom22.5%Not measuredOnly GLM 4.5V measured
Neither model has a result on the other 32 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GLM 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling SmallLeader
GPQA DiamondNot measured83.6%Only Inkling Small measured
GPQA Diamond (Artificial Analysis run)68.4%89.5%Inkling Small
Humanity's Last Exam (Artificial Analysis run)6.3%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 prompts13351423Inkling Small
LMArena Text: expert13531441Inkling Small
LMArena Text: hard prompts in English13571429Inkling Small
LMArena Vision: diagrams11511251Inkling Small
LMArena Vision: homework11631257Inkling 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 GLM 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling SmallLeader
AA Math Index73.0Not measuredOnly GLM 4.5V measured
AIME 2025 (Artificial Analysis run)73.0%Not measuredOnly GLM 4.5V 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: math13541459Inkling Small
LMArena Text: mathematical work13361441Inkling 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 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling 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)78.8%Not measuredOnly GLM 4.5V measured
SimpleQA VerifiedNot measured19.1%Only Inkling Small measured
LMArena Text: science13301428Inkling Small
LMArena Text: medicine and healthcare13491413Inkling Small
LMArena Text: legal and government13381415Inkling Small
LMArena Text: business and finance13091413Inkling Small
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GLM 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling SmallLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for GLM 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling 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
IFBench34.2%Not measuredOnly GLM 4.5V measured
Long context reasoning (AA-LCR)0.0%75.7%Inkling Small
LMArena Text13331413Inkling Small
LMArena Text: instruction following13111399Inkling Small
LMArena Text: creative writing12941334Inkling Small
LMArena Vision11541237Inkling Small
LMArena Text: English13621421Inkling Small
LMArena Text: non-English13031401Inkling Small
LMArena Text: Chinese13371464Inkling Small
LMArena Text: GermanNot measured1408Only Inkling Small measured
LMArena Text: JapaneseNot measured1401Only Inkling Small measured
LMArena Text: KoreanNot measured1367Only Inkling Small measured
LMArena Text: FrenchNot measured1435Only Inkling Small measured
LMArena Text: Spanish13361422Inkling Small
LMArena Text: Russian12981394Inkling Small
LMArena Text: Polish13021428Inkling Small
LMArena Text: multi-turn13331416Inkling Small
LMArena Text: longer queries13051402Inkling Small
LMArena Text: writing and language13021357Inkling Small
LMArena Text: entertainment and media13031352Inkling Small
LMArena Vision: English11831243Inkling Small
LMArena Vision: ChineseNot measured1292Only Inkling Small measured
LMArena Vision: reading text11511243Inkling Small
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 4.5V and Inkling Small
BenchmarkGLM 4.5VInkling 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 4.5V$0.0015Fits in one request
Inkling Small$0.0010Fits in one request

Inkling Small costs less

Repository review

50K input + 3K output tokens

GLM 4.5V$0.035Fits in one request
Inkling Small$0.026Fits in one request

Inkling Small costs less

Agent loop

200K input + 10K output tokens

GLM 4.5V$0.138Exceeds the context window
Inkling Small$0.102Fits in one request

Inkling 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 GLM 4.5V and Inkling Small
SpecificationZ.ai GLM 4.5VThinking Machines Inkling Small
MakerZ.aiThinking Machines
WeightsOpen weightsOpen weights
ReleasedAugust 11, 2025July 30, 2026
Context window66K524K
Input $/Mtok$0.60$0.45
Output $/Mtok$1.80$1.20
Coding indexNot benchmarked27.3
Independent measurements behind it04
Cost per solved taskNot computable$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5V better than Inkling Small for coding?

Only Inkling Small has a coding score, 27.3 on the Vibe Coding Index; GLM 4.5V has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 4.5V or Inkling Small?

GLM 4.5V costs $0.60 per million input tokens and $1.80 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 4.5V or Inkling Small?

Inkling Small, with 524K tokens against 66K.

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

33 benchmarks have a result for both models as of October 21, 2026. GLM 4.5V'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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