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GLM 4.5 vs Inkling

Inkling leads GLM 4.5 on the Artificial Analysis Intelligence Index, 25.0 to 12.8, and GLM 4.5 costs 1.8x less per output token ($2.20 vs $4.05 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

GLM 4.5Z.ai
Coding
No data
Overall
No data
Output $/M
$2.20
7
T InklingThinking Machines
Coding
31.5
Overall
46.5
Output $/M
$4.05
40
vs boards won of 47 shared

GLM 4.5 or Inkling: which to pick

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; GLM 4.5 has none, so the two cannot be ranked on coding.

Pick GLM 4.5 for output tokens 1.8x cheaper ($2.20 vs $4.05 per million) and work measured by WeirdML or LMArena Text: medicine and healthcare, where it leads.

Shared results
47
GLM 4.5 only
14
Inkling only
55
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 4.5 not benchmarked, Inkling 31.5 from 6 benchmarks.
Widest category
Intelligence, 12.2 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5 52.7% against Inkling 77.3%, 24.7 points apart on a 0 to 100 scale.
Output price
GLM 4.5 $2.20 against Inkling $4.05 per million output tokens, 1.8x apart.
Context window
GLM 4.5 takes 131K 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 4.5BarsInklingTies
Coding14
Intelligence01
Reasoning06
Math02
Knowledge17
Web design25
General315
All shared boards740
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
Coding benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
SWE-bench Verified64.2%Not measuredOnly GLM 4.5 measured
LiveBench codingNot measured64.0%Only Inkling measured
LMArena WebDevNot measured1414Only Inkling measured
AA Coding IndexNot measured52.1Only Inkling measured
LiveCodeBench (Vals AI)67.5%85.5%Inkling
SWE-bench Verified (Vals AI)Not measured77.6%Only Inkling measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only Inkling measured
Vibe Code Bench (Vals AI)Not measured19.2%Only Inkling measured
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
LiveCodeBench (Artificial Analysis run)73.8%Not measuredOnly GLM 4.5 measured
SciCodeNot measured47.0%Only Inkling measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.5 measured
FrontierCodeNot measured14.0%Only Inkling measured
FrontierSWENot measured4.1%Only Inkling measured
WeirdML40.6%32.3%GLM 4.5
ALE-Bench344.8946.0Inkling
LMArena Text: coding14341466Inkling
LMArena Text: software and IT14401465Inkling
LMArena WebDev: ReactNot measured1404Only Inkling measured
LMArena WebDev: HTMLNot measured1399Only Inkling measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
AA Intelligence Index12.825.0Inkling
Epoch Capabilities IndexNot measured148.4Only Inkling measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
AA Agentic IndexNot measured22.5Only Inkling measured
Design Arena: agents building web appsNot measured1196Only Inkling 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 Telecom43.0%Not measuredOnly GLM 4.5 measured
APEX-AgentsNot measured33.8%Only Inkling measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
GPQA Diamond72.2%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)78.2%87.2%Inkling
Humanity's Last Exam (Artificial Analysis run)13.0%31.9%Inkling
GPQA Diamond (Epoch AI run)Not measured88.3%Only Inkling measured
ARC-AGINot measured79.5%Only Inkling measured
ARC-AGI-2Not measured36.5%Only Inkling measured
SimpleBenchNot measured50.0%Only Inkling measured
Chess puzzlesNot measured21.0%Only Inkling measured
LMArena Text: hard prompts14291451Inkling
LMArena Text: expert14331466Inkling
LMArena Text: hard prompts in English14291448Inkling
Kagi LLM Benchmark57.9%Not measuredOnly GLM 4.5 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
AIME86.7%Not measuredOnly GLM 4.5 measured
MATH 500 (Vals AI)94.0%Not measuredOnly GLM 4.5 measured
MGSM (Vals AI)90.8%Not measuredOnly GLM 4.5 measured
AA Math Index73.7Not measuredOnly GLM 4.5 measured
AIME 2025 (Artificial Analysis run)73.7%Not measuredOnly GLM 4.5 measured
OTIS Mock AIMENot measured88.9%Only Inkling measured
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: math14271479Inkling
LMArena Text: mathematical work14301460Inkling
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index17
Knowledge benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
MMLU Pro81.2%86.3%Inkling
LegalBench (Vals AI)75.6%83.0%Inkling
CorpFin (Vals AI)61.0%68.6%Inkling
TaxEval (Vals AI)72.4%75.3%Inkling
MortgageTax (Vals AI)Not measured64.0%Only Inkling measured
MedQA (Vals AI)90.0%Not measuredOnly GLM 4.5 measured
MedCode (Vals AI)Not measured41.2%Only Inkling measured
MMLU Pro (Artificial Analysis run)83.5%Not measuredOnly GLM 4.5 measured
SimpleQA VerifiedNot measured40.3%Only Inkling measured
LMArena Text: science14441455Inkling
LMArena Text: medicine and healthcare14551447GLM 4.5
LMArena Text: legal and government14381448Inkling
LMArena Text: business and finance14201438Inkling
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index25
Web design benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
Design Arena: websites11691224Inkling
Design Arena: UI components11411198Inkling
Design Arena: game dev11441165Inkling
Design Arena: data viz11591156GLM 4.5
Design Arena: 3D11701160GLM 4.5
Design Arena: all code categories11651205Inkling
Design Arena: SVG10961108Inkling
Design Arena: ASCII artNot measured1089Only Inkling measured
LiveBench designNot measured58.3%Only Inkling measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index315
General benchmarks for GLM 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
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
IFBench44.1%Not measuredOnly GLM 4.5 measured
Long context reasoning (AA-LCR)52.7%77.3%Inkling
DTBenchNot measured87.5%Only Inkling measured
LMCANot measured37.6%Only Inkling measured
Creative writing (Lech Mazur)73.4%Not measuredOnly GLM 4.5 measured
LMArena Text14301442Inkling
LMArena Text: instruction following14041425Inkling
LMArena Text: creative writing13951390GLM 4.5
LMArena Text: English14371442Inkling
LMArena Text: non-English14171434Inkling
LMArena Text: Chinese14651493Inkling
LMArena Text: German14071445Inkling
LMArena Text: Japanese14151429Inkling
LMArena Text: Korean13801403Inkling
LMArena Text: French14181455Inkling
LMArena Text: Spanish14541449GLM 4.5
LMArena Text: Russian14131430Inkling
LMArena Text: Polish14221450Inkling
LMArena Text: multi-turn14151437Inkling
LMArena Text: longer queries14121435Inkling
LMArena Text: writing and language14031404Inkling
LMArena Text: entertainment and media14041394GLM 4.5
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 4.5 and Inkling
BenchmarkGLM 4.5InklingLeader
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 4.5$0.0017Fits in one request
Inkling$0.0030Fits in one request

GLM 4.5 costs less

Repository review

50K input + 3K output tokens

GLM 4.5$0.037Fits in one request
Inkling$0.061Fits in one request

GLM 4.5 costs less

Agent loop

200K input + 10K output tokens

GLM 4.5$0.142Exceeds the context window
Inkling$0.235Fits in one request

GLM 4.5 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 4.5 and Inkling
SpecificationZ.ai GLM 4.5Thinking Machines Inkling
MakerZ.aiThinking Machines
WeightsOpen weightsOpen weights
ReleasedJuly 25, 2025July 17, 2026
Context window131K524K
Input $/Mtok$0.60$0.975
Output $/Mtok$2.20$4.05
Coding indexNot benchmarked31.5
Independent measurements behind it06
Cost per solved taskNot computable$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5 better than Inkling for coding?

Only Inkling has a coding score, 31.5 on the Vibe Coding Index; GLM 4.5 has none, so the two cannot be ranked on coding. Pick GLM 4.5 for output tokens 1.8x cheaper ($2.20 vs $4.05 per million) and work measured by WeirdML or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, GLM 4.5 or Inkling?

GLM 4.5 costs $0.60 per million input tokens and $2.20 per million output tokens; Inkling costs $0.975 and $4.05. Cost per solved task is known for Inkling only.

Which has the bigger context window, GLM 4.5 or Inkling?

Inkling, with 524K tokens against 131K.

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

47 benchmarks have a result for both models as of October 22, 2026. GLM 4.5's coding index rests on 0 independent benchmarks and Inkling's on 6. Where only one model has a result, the page says so instead of naming a winner.

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