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GLM 5.2 vs Inkling Small

GLM 5.2 leads Inkling Small on coding, 61.1 to 27.3 on the Vibe Coding Index, and Inkling Small costs 3.7x less per output token ($1.20 vs $4.40 per million). Updated October 22, 2026; 65 benchmarks have a result for both.

Replace GLM 5.2 Replace Inkling Small
GLM 5.2Z.ai
Coding
61.1
Overall
62.5
Output $/M
$4.40
56
T Inkling SmallThinking Machines
Coding
27.3
Overall
43.6
Output $/M
$1.20
7
vs boards won of 65 shared, 2 tied

GLM 5.2 or Inkling Small: which to pick

Pick GLM 5.2 for coding: it scores 61.1 on the Vibe Coding Index against 27.3 for Inkling Small.

Pick Inkling Small for output tokens 3.7x cheaper ($1.20 vs $4.40 per million) and a lower cost per solved task ($0.16 against $0.86).

Model AGLM 5.2Z.ai61.1/1004 independent benchmarks$0.86 per solved taskModel BInkling SmallThinking Machines27.3/1004 independent benchmarks$0.16 per solved task
Shared results
65
GLM 5.2 only
33
Inkling Small only
19
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
GLM 5.2 61.1 from 4 benchmarks, Inkling Small 27.3 from 4 benchmarks.
Widest category
Coding, 16.4 points apart on average over 14 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5.2 64.0% against Inkling Small 19.1%, 44.9 points apart on a 0 to 100 scale.
Output price
GLM 5.2 $4.40 against Inkling Small $1.20 per million output tokens, 3.7x apart.
Context window
GLM 5.2 takes 1.05M 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 5.2BarsInkling SmallTies
Coding1211 tie
Intelligence20
Agentic work40
Reasoning721 tie
Math51
Knowledge82
General181
All shared boards5672 ties
CodingLike-for-likeSix of these boards feed the Vibe Coding Index121
Coding benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
LMArena WebDev16041409GLM 5.2
AA Coding Index68.852.9GLM 5.2
LiveCodeBench (Vals AI)69.5%85.9%Inkling Small
SWE-bench Verified (Vals AI)82.8%82.2%GLM 5.2
Terminal-Bench 4 (Vals AI)Not measured0.0%Only Inkling Small measured
Vibe Code Bench (Vals AI)64.0%19.1%GLM 5.2
Code migration (Vals AI)37.9%13.7%GLM 5.2
ProgramBench (Vals AI)0.5%0.5%Tie
IOI (Vals AI)Not measured9.3%Only Inkling Small measured
Terminal-Bench 2.1 (Vals AI)67.8%55.1%GLM 5.2
SkillsBench (Vals AI)45.1%33.6%GLM 5.2
CyberBench (Vals AI)Not measured64.1%Only Inkling Small measured
SciCode51.2%49.7%GLM 5.2
Terminal-Bench Hard (Artificial Analysis run)50.8%Not measuredOnly GLM 5.2 measured
FrontierCode24.5%Not measuredOnly GLM 5.2 measured
WeirdML70.1%Not measuredOnly GLM 5.2 measured
ALE-Bench1047.0Not measuredOnly GLM 5.2 measured
LMArena Text: coding14871450GLM 5.2
LMArena Text: software and IT14861447GLM 5.2
LMArena WebDev: React16171399GLM 5.2
LMArena WebDev: HTML15651398GLM 5.2
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 index20
Intelligence benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
AA Intelligence Index33.725.7GLM 5.2
Epoch Capabilities Index151.9150.3GLM 5.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
AA Agentic Index38.423.5GLM 5.2
Design Arena: agents building web apps1222Not measuredOnly GLM 5.2 measured
Design Arena: agents building full-stack apps1241Not measuredOnly GLM 5.2 measured
Design Arena: agents building mobile apps1159Not measuredOnly GLM 5.2 measured
Design Arena: agents building Android apps1178Not measuredOnly GLM 5.2 measured
Design Arena: agents building Godot games1142Not measuredOnly GLM 5.2 measured
Design Arena: agents building games1206Not measuredOnly GLM 5.2 measured
Design Arena: HTML slides1125Not measuredOnly GLM 5.2 measured
Design Arena: PowerPoint slides1170Not measuredOnly GLM 5.2 measured
SREBench (Vals AI)0.0%Not measuredOnly GLM 5.2 measured
Finance Agent (Vals AI)49.7%41.3%GLM 5.2
Tax Agent Bench (Vals AI)Not measured15.4%Only Inkling Small measured
Legal Research Bench (Vals AI)31.3%25.5%GLM 5.2
Harvey's Legal Agent Benchmark (Vals AI)Not measured2.9%Only Inkling Small measured
Excel Modeling Benchmark (Vals AI)61.5%31.8%GLM 5.2
τ²-Bench Telecom99.1%Not measuredOnly GLM 5.2 measured
APEX-Agents45.2%Not measuredOnly GLM 5.2 measured
PostTrainBench31.7%Not measuredOnly GLM 5.2 measured
Vending-Bench 2$8,314Not measuredOnly GLM 5.2 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index72
Reasoning benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
GPQA Diamond85.6%83.6%GLM 5.2
GPQA Diamond (Artificial Analysis run)89.5%89.5%Tie
Humanity's Last Exam (Artificial Analysis run)41.1%33.3%GLM 5.2
GPQA Diamond (Epoch AI run)91.9%88.5%GLM 5.2
ARC-AGI77.0%84.0%Inkling Small
ARC-AGI-222.8%40.1%Inkling Small
SimpleBench58.8%Not measuredOnly GLM 5.2 measured
Chess puzzles22.0%Not measuredOnly GLM 5.2 measured
Mystery game puzzles19.0%6.0%GLM 5.2
EBR-bench9.5%Not measuredOnly GLM 5.2 measured
LMArena Text: hard prompts14811423GLM 5.2
LMArena Text: expert14871441GLM 5.2
LMArena Text: hard prompts in English14811429GLM 5.2
LMArena Vision: diagramsNot measured1251Only Inkling Small measured
LMArena Vision: homeworkNot measured1257Only Inkling Small measured
Kagi LLM Benchmark62.6%Not measuredOnly GLM 5.2 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
OTIS Mock AIME86.4%90.0%Inkling Small
FrontierMath, tiers 1 to 359.2%46.3%GLM 5.2
FrontierMath, tier 429.3%17.1%GLM 5.2
ProofBench35.0%6.0%GLM 5.2
LMArena Text: math14831459GLM 5.2
LMArena Text: mathematical work14891441GLM 5.2
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index82
Knowledge benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
MMLU Pro86.7%85.6%GLM 5.2
LegalBench (Vals AI)84.1%83.0%GLM 5.2
CorpFin (Vals AI)66.1%69.6%Inkling Small
TaxEval (Vals AI)73.3%75.5%Inkling Small
MortgageTax (Vals AI)Not measured62.3%Only Inkling Small measured
MedCode (Vals AI)40.8%37.9%GLM 5.2
SimpleQA Verified34.2%19.1%GLM 5.2
LMArena Text: science14891428GLM 5.2
LMArena Text: medicine and healthcare14751413GLM 5.2
LMArena Text: legal and government14861415GLM 5.2
LMArena Text: business and finance14511413GLM 5.2
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 GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling SmallLeader
Design Arena: websites1285Not measuredOnly GLM 5.2 measured
Design Arena: UI components1294Not measuredOnly GLM 5.2 measured
Design Arena: game dev1268Not measuredOnly GLM 5.2 measured
Design Arena: data viz1285Not measuredOnly GLM 5.2 measured
Design Arena: 3D1287Not measuredOnly GLM 5.2 measured
Design Arena: all code categories1287Not measuredOnly GLM 5.2 measured
Design Arena: SVG1213Not measuredOnly GLM 5.2 measured
Design Arena: ASCII art1191Not measuredOnly GLM 5.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index181
General benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling 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)83.5%84.1%Inkling Small
Vals Multimodal IndexNot measured50.0%Only Inkling Small measured
IFBench73.3%Not measuredOnly GLM 5.2 measured
Long context reasoning (AA-LCR)78.3%75.7%GLM 5.2
DTBench93.6%Not measuredOnly GLM 5.2 measured
LMCA45.8%Not measuredOnly GLM 5.2 measured
Surface Evolver Bench55.6%Not measuredOnly GLM 5.2 measured
LMArena Text14701413GLM 5.2
LMArena Text: instruction following14661399GLM 5.2
LMArena Text: creative writing14631334GLM 5.2
LMArena VisionNot measured1237Only Inkling Small measured
LMArena Text: English14751421GLM 5.2
LMArena Text: non-English14591401GLM 5.2
LMArena Text: Chinese15221464GLM 5.2
LMArena Text: German14701408GLM 5.2
LMArena Text: Japanese14501401GLM 5.2
LMArena Text: Korean14401367GLM 5.2
LMArena Text: French14791435GLM 5.2
LMArena Text: Spanish14781422GLM 5.2
LMArena Text: Russian14681394GLM 5.2
LMArena Text: Polish14561428GLM 5.2
LMArena Text: multi-turn14691416GLM 5.2
LMArena Text: longer queries14801402GLM 5.2
LMArena Text: writing and language14631357GLM 5.2
LMArena Text: entertainment and media14501352GLM 5.2
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 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.2 and Inkling Small
BenchmarkGLM 5.2Inkling 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 5.2$0.0036Fits in one request
Inkling Small$0.0010Fits in one request

Inkling Small costs less

Repository review

50K input + 3K output tokens

GLM 5.2$0.083Fits in one request
Inkling Small$0.026Fits in one request

Inkling Small costs less

Agent loop

200K input + 10K output tokens

GLM 5.2$0.324Fits in one request
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 5.2 and Inkling Small
SpecificationZ.ai GLM 5.2Thinking Machines Inkling Small
MakerZ.aiThinking Machines
WeightsOpen weightsOpen weights
ReleasedJune 16, 2026July 30, 2026
Context window1.05M524K
Input $/Mtok$1.40$0.45
Output $/Mtok$4.40$1.20
Coding index61.127.3
Independent measurements behind it44
Cost per solved task$0.86$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.2 better than Inkling Small for coding?

Pick GLM 5.2 for coding: it scores 61.1 on the Vibe Coding Index against 27.3 for Inkling Small. Pick Inkling Small for output tokens 3.7x cheaper ($1.20 vs $4.40 per million) and a lower cost per solved task ($0.16 against $0.86).

Which is cheaper, GLM 5.2 or Inkling Small?

GLM 5.2 costs $1.40 per million input tokens and $4.40 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, GLM 5.2 costs $0.86 and Inkling Small $0.16.

Which has the bigger context window, GLM 5.2 or Inkling Small?

GLM 5.2, with 1.05M tokens against 524K.

How many benchmarks is the GLM 5.2 vs Inkling Small comparison based on?

65 benchmarks have a result for both models as of October 22, 2026. GLM 5.2's coding index rests on 4 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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