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GLM 5.3 Flash vs Inkling Small

Updated October 21, 2026. 77 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
74
T Inkling SmallThinking Machines
Coding
29.9
Overall
25.7
Output $/M
$1.20
2
vs boards won of 77 shared, 1 tied

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 29.9 for Inkling Small.

Pick Inkling Small when what matters is LiveCodeBench (Vals AI) or ProgramBench (Vals AI), where it leads.

Shared results
77
GLM 5.3 Flash only
25
Inkling Small only
7
Like-for-like categories
7 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 5.3 Flash 71.0 from 2 benchmarks, Inkling Small 29.9 from 1 benchmark.
Widest category
Agentic work, 18.6 points apart on average over 6 shared benchmarks.
Widest single gap
IOI (Vals AI): GLM 5.3 Flash 52.5% against Inkling Small 9.3%, 43.2 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Inkling Small $1.20 per million output tokens, 2.4x apart.
Context window
GLM 5.3 Flash 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 5.3 FlashBarsInkling SmallTies
Coding162
Intelligence20
Agentic work60
Reasoning120
Math501 tie
Knowledge70
General260
All shared boards7421 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index162
Coding benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071409GLM 5.3 Flash
AA Coding Index71.552.9GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%85.9%Inkling Small
SWE-bench Verified (Vals AI)92.0%82.2%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%0.0%GLM 5.3 Flash
Vibe Code Bench (Vals AI)30.8%19.1%GLM 5.3 Flash
Code migration (Vals AI)20.5%13.7%GLM 5.3 Flash
ProgramBench (Vals AI)0.0%0.5%Inkling Small
IOI (Vals AI)52.5%9.3%GLM 5.3 Flash
Terminal-Bench 2.1 (Vals AI)62.9%55.1%GLM 5.3 Flash
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%33.6%GLM 5.3 Flash
CyberBench (Vals AI)67.9%64.1%GLM 5.3 Flash
SciCode51.6%49.7%GLM 5.3 Flash
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6Not measuredOnly GLM 5.3 Flash measured
LMArena Text: coding15071450GLM 5.3 Flash
LMArena Text: software and IT15001447GLM 5.3 Flash
LMArena WebDev: React16241399GLM 5.3 Flash
LMArena WebDev: HTML15771398GLM 5.3 Flash
LMArena WebDev: from an image15781410GLM 5.3 Flash
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
AA Intelligence Index41.825.7GLM 5.3 Flash
Epoch Capabilities Index153.1150.3GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
AA Agentic Index50.923.5GLM 5.3 Flash
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%41.3%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%15.4%GLM 5.3 Flash
Legal Research Bench (Vals AI)45.2%25.5%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%2.9%GLM 5.3 Flash
Excel Modeling Benchmark (Vals AI)55.9%31.8%GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
GPQA Diamond86.4%83.6%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%89.5%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%33.3%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%88.5%GLM 5.3 Flash
ARC-AGI91.0%84.0%GLM 5.3 Flash
ARC-AGI-265.8%40.1%GLM 5.3 Flash
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%6.0%GLM 5.3 Flash
LMArena Text: hard prompts14901423GLM 5.3 Flash
LMArena Text: expert15111441GLM 5.3 Flash
LMArena Text: hard prompts in English14881429GLM 5.3 Flash
LMArena Vision: diagrams13171251GLM 5.3 Flash
LMArena Vision: homework13181257GLM 5.3 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
OTIS Mock AIME93.9%90.0%GLM 5.3 Flash
FrontierMath, tiers 1 to 355.8%46.3%GLM 5.3 Flash
FrontierMath, tier 417.1%17.1%Tie
ProofBench21.0%6.0%GLM 5.3 Flash
LMArena Text: math15031459GLM 5.3 Flash
LMArena Text: mathematical work14971441GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
MMLU Pro86.1%85.6%GLM 5.3 Flash
LegalBench (Vals AI)83.9%83.0%GLM 5.3 Flash
CorpFin (Vals AI)Not measured69.6%Only Inkling Small measured
TaxEval (Vals AI)75.6%75.5%GLM 5.3 Flash
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: science14841428GLM 5.3 Flash
LMArena Text: medicine and healthcare14751413GLM 5.3 Flash
LMArena Text: legal and government14731415GLM 5.3 Flash
LMArena Text: business and finance14601413GLM 5.3 Flash
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
Design Arena: websites1272Not measuredOnly GLM 5.3 Flash measured
Design Arena: UI components1316Not measuredOnly GLM 5.3 Flash measured
Design Arena: game dev1279Not measuredOnly GLM 5.3 Flash measured
Design Arena: data viz1262Not measuredOnly GLM 5.3 Flash measured
Design Arena: 3D1316Not measuredOnly GLM 5.3 Flash measured
Design Arena: all code categories1282Not measuredOnly GLM 5.3 Flash measured
Design Arena: SVG1284Not measuredOnly GLM 5.3 Flash measured
Design Arena: ASCII art1269Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index260
General benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling SmallLeader
Vals Index50.9%27.6%GLM 5.3 Flash
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash 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)88.9%84.1%GLM 5.3 Flash
Vals Multimodal IndexNot measured50.0%Only Inkling Small measured
Long context reasoning (AA-LCR)80.0%75.7%GLM 5.3 Flash
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711413GLM 5.3 Flash
LMArena Text: instruction following14781399GLM 5.3 Flash
LMArena Text: creative writing14411334GLM 5.3 Flash
LMArena Vision12941237GLM 5.3 Flash
LMArena Text: English14741421GLM 5.3 Flash
LMArena Text: non-English14621401GLM 5.3 Flash
LMArena Text: Chinese15311464GLM 5.3 Flash
LMArena Text: German14621408GLM 5.3 Flash
LMArena Text: Japanese14441401GLM 5.3 Flash
LMArena Text: Korean14361367GLM 5.3 Flash
LMArena Text: French14911435GLM 5.3 Flash
LMArena Text: Spanish14751422GLM 5.3 Flash
LMArena Text: Russian14651394GLM 5.3 Flash
LMArena Text: Polish14501428GLM 5.3 Flash
LMArena Text: multi-turn14691416GLM 5.3 Flash
LMArena Text: longer queries14811402GLM 5.3 Flash
LMArena Text: writing and language14551357GLM 5.3 Flash
LMArena Text: entertainment and media14401352GLM 5.3 Flash
LMArena Vision: English12951243GLM 5.3 Flash
LMArena Vision: Chinese13631292GLM 5.3 Flash
LMArena Vision: reading text12991243GLM 5.3 Flash
LMArena Vision: humor12791207GLM 5.3 Flash
LMArena Vision: creative writing12701205GLM 5.3 Flash
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Inkling Small
BenchmarkGLM 5.3 FlashInkling 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 5.3 Flash$0.0004Fits in one request
Inkling Small$0.0010Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Inkling Small$0.026Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Inkling Small$0.102Fits in one request

GLM 5.3 Flash 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 5.3 Flash and Inkling Small
SpecificationZ.ai GLM 5.3 FlashThinking Machines Inkling Small
MakerZ.aiThinking Machines
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026July 30, 2026
Context window1.05M524K
Input $/Mtok$0.15$0.45
Output $/Mtok$0.50$1.20
Coding index71.029.9
Independent measurements behind it21
Cost per solved task$0.02$0.16
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Inkling Small for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 29.9 for Inkling Small. Pick Inkling Small when what matters is LiveCodeBench (Vals AI) or ProgramBench (Vals AI), where it leads.

Which is cheaper, GLM 5.3 Flash or Inkling Small?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Inkling Small costs $0.45 and $1.20. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and Inkling Small $0.16.

Which has the bigger context window, GLM 5.3 Flash or Inkling Small?

GLM 5.3 Flash, with 1.05M tokens against 524K.

How many benchmarks is the GLM 5.3 Flash vs Inkling Small comparison based on?

77 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 2 independent benchmarks 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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