Noometry

Model comparison

GLM-4.5V vs Inkling-Small

Inkling-Small is the stronger model overall, scoring 46.5 to 39.2 on the Noometry Index.

Last verified . 14 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

Inkling-Small Thinking Machines Lab

46.5

Rank #57 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and Inkling-Small in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Inkling-Small leads 39.0 to 26.5.
  • Inkling-Small is cheaper at $0.45 / $1.20 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
  • Inkling-Small accepts more context: 524K tokens versus 64K.

Side by side

GLM-4.5VInkling-Small
ProviderZ.ai (Zhipu)Thinking Machines Lab
Noometry Index39.246.5
Released2025-08-112026-07-15
WeightsOpenOpen
Context window64K524K
Max output16K1.05M
Input $ / M tokens$0.60$0.45
Output $ / M tokens$1.80$1.20
Results tracked1533

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Category by category

Coding Inkling-Small leads

GLM-4.5V: 38.9 (#152), Inkling-Small: 43.3 (#80)

BenchmarkGLM-4.5VInkling-Small
LMArena Coding13471451
LMArena WebDev—1408
SciCode—48.7%

Reasoning Inkling-Small leads

GLM-4.5V: 26.5 (#118), Inkling-Small: 39.0 (#53)

BenchmarkGLM-4.5VInkling-Small
LMArena Hard Prompts13351424
ARC-AGI-2—40.1%
Kagi LLM Benchmark59.8%—
ARC-AGI-1—84%
CritPt—8.3%
Chess Puzzles—18%
Mystery Game Puzzles—6%
Epoch Capabilities Index—150.13

Math Inkling-Small leads

GLM-4.5V: 34.7 (#157), Inkling-Small: 44.9 (#65)

BenchmarkGLM-4.5VInkling-Small
LMArena Math13531453
FrontierMath (Tiers 1-3)—46.3%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—90%
ProofBench—6%

Knowledge Inkling-Small leads

GLM-4.5V: 36.8 (#155), Inkling-Small: 48.3 (#71)

BenchmarkGLM-4.5VInkling-Small
LMArena Expert13531442
GPQA Diamond—88.5%
SimpleQA Verified—19.1%

Multimodal Inkling-Small leads

GLM-4.5V: 33.6 (#86), Inkling-Small: 38.4 (#59)

BenchmarkGLM-4.5VInkling-Small
LMArena Vision11541235

Multilingual Inkling-Small leads

GLM-4.5V: 44.9 (#172), Inkling-Small: 51.7 (#102)

BenchmarkGLM-4.5VInkling-Small
LMArena Non-English13041400
LMArena Chinese13381458
LMArena Russian12991392
LMArena Spanish13351426
LMArena French—1438
LMArena German—1412
LMArena Japanese—1399
LMArena Korean—1355

Instruction Following Inkling-Small leads

GLM-4.5V: 69.4 (#170), Inkling-Small: 73.9 (#112)

BenchmarkGLM-4.5VInkling-Small
LMArena Instruction Following13111397

Long Context Inkling-Small leads

GLM-4.5V: 39.6 (#166), Inkling-Small: 42.7 (#113)

BenchmarkGLM-4.5VInkling-Small
LMArena Longer Query13051401

Writing & Preference Inkling-Small leads

GLM-4.5V: 52.7 (#162), Inkling-Small: 59.8 (#102)

BenchmarkGLM-4.5VInkling-Small
LMArena Text13331413
LMArena Creative Writing12951330
LMArena Multi-Turn13331420
EQ-Bench Creative Writing—1491

Frequently asked questions

Is GLM-4.5V better than Inkling-Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 39.2 on the Noometry Index.

Which is cheaper, GLM-4.5V or Inkling-Small?

Inkling-Small is cheaper. It lists at $0.45 per million input tokens and $1.20 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Inkling-Small better for coding?

Inkling-Small scores higher on coding benchmarks: 43.3 versus 38.9 in the Noometry coding category.

Which has the bigger context window?

Inkling-Small does, with 524K tokens against 64K.

How many benchmarks do GLM-4.5V and Inkling-Small share?

14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Inkling-Small has 33.

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