Model comparison

GLM-4.6V vs Inkling-Small

Inkling-Small is the stronger model overall, scoring 46.5 to 40.9 on the Noometry Index.

Last verified . 12 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

40.9

Rank #133 Confirmed

Inkling-Small Thinking Machines Lab

46.5

Rank #57 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and Inkling-Small in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Inkling-Small leads 39.0 to 26.5.
  • GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $0.45 / $1.20 for Inkling-Small.
  • Inkling-Small accepts more context: 524K tokens versus 128K.

Side by side

GLM-4.6V and Inkling-Small specifications
GLM-4.6VInkling-Small
ProviderZ.ai (Zhipu)Thinking Machines Lab
Noometry Index40.946.5
Released2025-12-082026-07-15
WeightsOpenOpen
Context window128K524K
Max output33K1.05M
Input $ / M tokens$0.30$0.45
Output $ / M tokens$0.90$1.20
Results tracked1233

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Category by category

Coding Inkling-Small leads

GLM-4.6V: 40.2 (#128), Inkling-Small: 43.3 (#80)

Coding benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Coding13901451
LMArena WebDev—1408
SciCode—48.7%

Reasoning Inkling-Small leads

GLM-4.6V: 26.5 (#117), Inkling-Small: 39.0 (#53)

Reasoning benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Hard Prompts13681424
ARC-AGI-2—40.1%
ARC-AGI-1—84%
CritPt—8.3%
Chess Puzzles—18%
Mystery Game Puzzles—6%
Epoch Capabilities Index—150.13

Math Not comparable

GLM-4.6V: —, Inkling-Small: 44.9 (#65)

Math benchmarks
BenchmarkGLM-4.6VInkling-Small
FrontierMath (Tiers 1-3)—46.3%
FrontierMath Tier 4—17.1%
OTIS Mock AIME 2024-2025—90%
ProofBench—6%
LMArena Math—1453

Knowledge Inkling-Small leads

GLM-4.6V: 37.4 (#148), Inkling-Small: 48.3 (#71)

Knowledge benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Expert13721442
GPQA Diamond—88.5%
SimpleQA Verified—19.1%

Multimodal Inkling-Small leads

GLM-4.6V: 34.2 (#83), Inkling-Small: 38.4 (#59)

Multimodal benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Vision11641235

Multilingual Inkling-Small leads

GLM-4.6V: 48.8 (#135), Inkling-Small: 51.7 (#102)

Multilingual benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Non-English13591400
LMArena Chinese14261458
LMArena Russian13411392
LMArena French—1438
LMArena German—1412
LMArena Japanese—1399
LMArena Korean—1355
LMArena Spanish—1426

Instruction Following Inkling-Small leads

GLM-4.6V: 71.6 (#145), Inkling-Small: 73.9 (#112)

Instruction Following benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Instruction Following13511397

Long Context Inkling-Small leads

GLM-4.6V: 41.3 (#138), Inkling-Small: 42.7 (#113)

Long Context benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Longer Query13581401

Writing & Preference Inkling-Small leads

GLM-4.6V: 56.8 (#132), Inkling-Small: 59.8 (#102)

Writing & Preference benchmarks
BenchmarkGLM-4.6VInkling-Small
LMArena Text13771413
LMArena Creative Writing13471330
LMArena Multi-Turn13591420
EQ-Bench Creative Writing—1491

Frequently asked questions

Is GLM-4.6V better than Inkling-Small?

Inkling-Small is the stronger model overall, scoring 46.5 to 40.9 on the Noometry Index.

Which is cheaper, GLM-4.6V or Inkling-Small?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Inkling-Small lists at $0.45 and $1.20.

Is GLM-4.6V or Inkling-Small better for coding?

Inkling-Small scores higher on coding benchmarks: 43.3 versus 40.2 in the Noometry coding category.

Which has the bigger context window?

Inkling-Small does, with 524K tokens against 128K.

How many benchmarks do GLM-4.6V and Inkling-Small share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Inkling-Small has 33.

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