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GLM 5 vs Inkling

Updated October 21, 2026. 59 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5 Replace Inkling
GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
35
T InklingThinking Machines
Coding
49.7
Overall
25.0
Output $/M
$4.05
24
vs boards won of 59 shared

Decision reading

Pick GLM 5 for coding: it scores 59.7 on the Vibe Coding Index against 49.7 for Inkling.

Pick Inkling when the context window is larger, 524K against 205K tokens, or when what matters is LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Model AGLM 5Z.ai59.7/1002 independent benchmarks$0.63 per solved taskModel BInklingThinking Machines49.7/1002 independent benchmarks$0.76 per solved task
Shared results
59
GLM 5 only
16
Inkling only
43
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 59.7 from 2 benchmarks, Inkling 49.7 from 2 benchmarks.
Widest category
Reasoning, 8.6 points apart on average over 10 shared benchmarks.
Widest single gap
ARC-AGI: GLM 5 44.7% against Inkling 79.5%, 34.8 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against Inkling $4.05 per million output tokens, 1.3x apart.
Context window
GLM 5 takes 205K tokens, Inkling 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 5BarsInklingTies
Coding55
Intelligence11
Reasoning37
Math03
Knowledge44
Web design80
General144
All shared boards3524
CodingLike-for-likeFour of these boards feed the Vibe Coding Index55
Coding benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDev14351414GLM 5
AA Coding IndexNot measured52.1Only Inkling measured
LiveCodeBench (Vals AI)81.9%85.5%Inkling
SWE-bench Verified (Vals AI)71.4%77.6%Inkling
Terminal-Bench 4 (Vals AI)Not measured0.5%Only Inkling measured
Vibe Code Bench (Vals AI)23.4%19.2%GLM 5
Code migration (Vals AI)Not measured11.8%Only Inkling measured
ProgramBench (Vals AI)Not measured0.0%Only Inkling measured
IOI (Vals AI)Not measured14.9%Only Inkling measured
Terminal-Bench 2.1 (Vals AI)Not measured47.6%Only Inkling measured
Vibe Code Bench 1-100 (Vals AI)Not measured7.3%Only Inkling measured
SkillsBench (Vals AI)Not measured26.1%Only Inkling measured
CyberBench (Vals AI)Not measured66.8%Only Inkling measured
SciCodeNot measured47.0%Only Inkling measured
Terminal-Bench Hard (Artificial Analysis run)43.2%Not measuredOnly GLM 5 measured
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdML48.2%32.3%GLM 5
ALE-Bench765.6946.0Inkling
LMArena Text: coding14611466Inkling
LMArena Text: software and IT14601465Inkling
LMArena WebDev: React14241404GLM 5
LMArena WebDev: HTML14501399GLM 5
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
AA Intelligence Index27.925.0GLM 5
Epoch Capabilities Index145.8148.4Inkling
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
AA Agentic IndexNot measured22.5Only Inkling measured
Design Arena: agents building web appsNot measured1196Only Inkling measured
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1152Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1148Not measuredOnly GLM 5 measured
LiveBench researchNot measured59.9%Only Inkling measured
LiveBench browserNot measured16.0%Only Inkling measured
LiveBench long agenticNot measured14.1%Only Inkling measured
SREBench (Vals AI)Not measured0.0%Only Inkling measured
Finance Agent (Vals AI)Not measured46.6%Only Inkling measured
Tax Agent Bench (Vals AI)Not measured15.3%Only Inkling measured
Legal Research Bench (Vals AI)Not measured28.4%Only Inkling measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured3.8%Only Inkling measured
Excel Modeling Benchmark (Vals AI)Not measured38.4%Only Inkling measured
τ²-Bench Telecom98.2%Not measuredOnly GLM 5 measured
APEX-AgentsNot measured33.8%Only Inkling measured
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index37
Reasoning benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
GPQA Diamond83.3%87.1%Inkling
LiveBench reasoningNot measured78.3%Only Inkling measured
MMMU Pro (Vals AI)Not measured78.5%Only Inkling measured
GPQA Diamond (Artificial Analysis run)82.0%87.2%Inkling
Humanity's Last Exam (Artificial Analysis run)29.3%31.9%Inkling
GPQA Diamond (Epoch AI run)87.8%88.3%Inkling
ARC-AGI44.7%79.5%Inkling
ARC-AGI-24.9%36.5%Inkling
SimpleBench53.2%50.0%GLM 5
Chess puzzlesNot measured21.0%Only Inkling measured
LMArena Text: hard prompts14521451GLM 5
LMArena Text: expert14541466Inkling
LMArena Text: hard prompts in English14601448GLM 5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%88.9%Inkling
FrontierMath, tiers 1 to 3Not measured33.3%Only Inkling measured
FrontierMath, tier 4Not measured4.9%Only Inkling measured
ProofBenchNot measured0.0%Only Inkling measured
LMArena Text: math14401479Inkling
LMArena Text: mathematical work14511460Inkling
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index44
Knowledge benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
MMLU Pro86.0%86.3%Inkling
LegalBench (Vals AI)84.1%83.0%GLM 5
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%68.6%Inkling
TaxEval (Vals AI)70.0%75.3%Inkling
MortgageTax (Vals AI)Not measured64.0%Only Inkling measured
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
MedCode (Vals AI)Not measured41.2%Only Inkling measured
SimpleQA VerifiedNot measured40.3%Only Inkling measured
LMArena Text: science14601455GLM 5
LMArena Text: medicine and healthcare14551447GLM 5
LMArena Text: legal and government14531448GLM 5
LMArena Text: business and finance14301438Inkling
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
Design Arena: websites12471224GLM 5
Design Arena: UI components12301200GLM 5
Design Arena: game dev12341166GLM 5
Design Arena: data viz12281160GLM 5
Design Arena: 3D12291161GLM 5
Design Arena: all code categories12461206GLM 5
Design Arena: SVG11681109GLM 5
Design Arena: ASCII art11461089GLM 5
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index144
General benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
Vals IndexNot measured29.0%Only Inkling measured
LiveBench data analysisNot measured72.8%Only Inkling measured
Public Benefits Bench (Vals AI)Not measured58.5%Only Inkling measured
SAGE (Vals AI)Not measured36.5%Only Inkling measured
MedScribe (Vals AI)Not measured85.4%Only Inkling measured
Vals Multimodal IndexNot measured49.4%Only Inkling measured
IFBench72.3%Not measuredOnly GLM 5 measured
Long context reasoning (AA-LCR)75.7%77.3%Inkling
DTBenchNot measured87.5%Only Inkling measured
LMCANot measured37.6%Only Inkling measured
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461442GLM 5
LMArena Text: instruction following14281425GLM 5
LMArena Text: creative writing14381390GLM 5
LMArena Text: English14581442GLM 5
LMArena Text: non-English14301434Inkling
LMArena Text: Chinese15111493GLM 5
LMArena Text: German14471445GLM 5
LMArena Text: Japanese14161429Inkling
LMArena Text: Korean14231403GLM 5
LMArena Text: French14561455GLM 5
LMArena Text: Spanish14541449GLM 5
LMArena Text: Russian14361430GLM 5
LMArena Text: Polish14341450Inkling
LMArena Text: multi-turn14561437GLM 5
LMArena Text: longer queries14461435GLM 5
LMArena Text: writing and language14371404GLM 5
LMArena Text: entertainment and media14261394GLM 5
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and Inkling
BenchmarkGLM 5InklingLeader
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$0.0026Fits in one request
Inkling$0.0030Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

GLM 5$0.060Fits in one request
Inkling$0.062Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

GLM 5$0.232Exceeds the context window
Inkling$0.240Fits in one request

GLM 5 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 and Inkling
SpecificationZ.ai GLM 5Thinking Machines Inkling
MakerZ.aiThinking Machines
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026July 17, 2026
Context window205K524K
Input $/Mtok$1.00$1.00
Output $/Mtok$3.20$4.05
Coding index59.749.7
Independent measurements behind it22
Cost per solved task$0.63$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5 better than Inkling for coding?

Pick GLM 5 for coding: it scores 59.7 on the Vibe Coding Index against 49.7 for Inkling. Pick Inkling when the context window is larger, 524K against 205K tokens, or when what matters is LiveCodeBench (Vals AI) or SWE-bench Verified (Vals AI), where it leads.

Which is cheaper, GLM 5 or Inkling?

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; Inkling costs $1.00 and $4.05. Per solved SWE-bench Verified task, GLM 5 costs $0.63 and Inkling $0.76.

Which has the bigger context window, GLM 5 or Inkling?

Inkling, with 524K tokens against 205K.

How many benchmarks is the GLM 5 vs Inkling comparison based on?

59 benchmarks have a result for both models as of October 21, 2026. GLM 5's coding index rests on 2 independent benchmarks and Inkling's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/glm-5-vs-thinkingmachines-inkling" title="GLM 5 vs Inkling, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-vs-thinkingmachines-inkling">LLMBenchmark.ai, GLM 5 vs Inkling</a></p>