Noometry

Model comparison

GLM-5V-Turbo vs Inkling-Small

Inkling-Small is the stronger model overall, scoring 46.5 to 43.8 on the Noometry Index.

Last verified . 18 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.8

Rank #84 Confirmed

Inkling-Small Thinking Machines Lab

46.5

Rank #63 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-5V-Turbo scores higher in 5 categories and Inkling-Small in 4 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Inkling-Small leads 38.6 to 29.7.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • Inkling-Small accepts more context: 524K tokens versus 200K.
  • Inkling-Small has downloadable open weights; the other is API-only.

Side by side

GLM-5V-TurboInkling-Small
ProviderZ.ai (Zhipu)Thinking Machines Lab
Noometry Index43.846.5
Released2026-04-012026-07-15
WeightsProprietaryOpen
Context window200K524K
Max output131K1.05M
Input $ / M tokens$1.20$0.45
Output $ / M tokens$4$1.20
Results tracked1933

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Category by category

Coding Inkling-Small leads

GLM-5V-Turbo: 42.1 (#111), Inkling-Small: 43.6 (#85)

BenchmarkGLM-5V-TurboInkling-Small
LMArena WebDev14011409
LMArena Coding14661451
SciCode—48.7%

Reasoning Inkling-Small leads

GLM-5V-Turbo: 29.7 (#89), Inkling-Small: 38.6 (#63)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Hard Prompts14431423
ARC-AGI-2—40.1%
ARC-AGI-1—84%
CritPt—8.3%
Chess Puzzles—18%
Mystery Game Puzzles—6%
Epoch Capabilities Index—150.15

Math Inkling-Small leads

GLM-5V-Turbo: 39.4 (#106), Inkling-Small: 45.1 (#77)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Math14411459
FrontierMath (Tiers 1-3)—46.3%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—90%
ProofBench—6%

Knowledge Inkling-Small leads

GLM-5V-Turbo: 40.6 (#117), Inkling-Small: 48.2 (#77)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Expert14521442
GPQA Diamond—88.5%
SimpleQA Verified—19.1%

Multimodal GLM-5V-Turbo leads

GLM-5V-Turbo: 40.9 (#42), Inkling-Small: 39.1 (#62)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Vision12641235
LMArena Document1416—

Multilingual GLM-5V-Turbo leads

GLM-5V-Turbo: 53.0 (#73), Inkling-Small: 51.7 (#104)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Non-English14201402
LMArena Chinese14881465
LMArena French14441436
LMArena German14231405
LMArena Korean13961363
LMArena Russian14311391
LMArena Spanish14501428
LMArena Japanese—1405

Instruction Following GLM-5V-Turbo leads

GLM-5V-Turbo: 75.0 (#80), Inkling-Small: 73.8 (#114)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Instruction Following14231399

Long Context GLM-5V-Turbo leads

GLM-5V-Turbo: 44.0 (#80), Inkling-Small: 42.7 (#118)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Longer Query14381401

Writing & Preference GLM-5V-Turbo leads

GLM-5V-Turbo: 62.5 (#73), Inkling-Small: 59.6 (#107)

BenchmarkGLM-5V-TurboInkling-Small
LMArena Text14371414
LMArena Creative Writing14161331
LMArena Multi-Turn14321418
EQ-Bench Creative Writing—1491

Frequently asked questions

Is GLM-5V-Turbo better than Inkling-Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 43.8 on the Noometry Index.

Which is cheaper, GLM-5V-Turbo or Inkling-Small?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Is GLM-5V-Turbo or Inkling-Small better for coding?

Inkling-Small scores higher on coding benchmarks: 43.6 versus 42.1 in the Noometry coding category.

Which has the bigger context window?

Inkling-Small does, with 524K tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Inkling-Small share?

18 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Inkling-Small has 33.

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