Noometry

Model comparison

GLM-5 vs Inkling

GLM-5 is the stronger model overall, scoring 46.1 to 44.1 on the Noometry Index.

Last verified . 29 shared benchmarks.

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Inkling Thinking Machines Lab

44.1

Rank #80 Confirmed

Summary

  • They share 29 benchmarks with published results for both. GLM-5 scores higher in 6 categories and Inkling in 3 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-5 leads 46.4 to 31.3.
  • The biggest single-benchmark swing is ARC-AGI-1: 44.7% for GLM-5 and 79.5% for Inkling.
  • GLM-5 is cheaper at $1 / $3.20 per million input/output tokens, against $1.87 / $4.68 for Inkling.
  • GLM-5 accepts more context: 205K tokens versus 66K.

Side by side

GLM-5Inkling
ProviderZ.ai (Zhipu)Thinking Machines Lab
Noometry Index46.144.1
Released2026-02-112026-07-15
WeightsOpenOpen
Context window205K66K
Max output131K66K
Input $ / M tokens$1$1.87
Output $ / M tokens$3.20$4.68
Results tracked4541

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Category by category

Coding GLM-5 leads

GLM-5: 49.0 (#52), Inkling: 34.5 (#234)

BenchmarkGLM-5Inkling
LMArena WebDev14341413
WeirdML48.2%32.3%
LMArena Coding14611464
ALE-Bench765.62946
SWE-bench Verified72.1%—
FrontierCode—14%
SWE-bench Verified (bash only)72.8%—
SWE-bench Multilingual69.7%—
FrontierSWE—4.1%
SciCode—47%

Agentic & Tool Use GLM-5 leads

GLM-5: 31.1 (#71), Inkling: 29.6 (#85)

BenchmarkGLM-5Inkling
τ²-bench Banking9.8%25%
Terminal-Bench52.4%—
APEX-Agents—33.8%
τ²-bench Airline82.5%—
τ²-bench Retail73.7%—
τ²-bench Telecom86.8%—
Vending-Bench 24,432—

Reasoning Inkling leads

GLM-5: 27.6 (#116), Inkling: 40.4 (#56)

BenchmarkGLM-5Inkling
ARC-AGI-24.9%36.5%
SimpleBench53.2%50%
ARC-AGI-144.7%79.5%
Chess Puzzles10%21%
LMArena Hard Prompts14521451
Epoch Capabilities Index145.83148.54
Kagi LLM Benchmark75%—
NYT Connections (extended)74.8%—
CritPt—5.4%
DTBench—87.5%
LMCA—37.6%
ForecastBench61—

Math GLM-5 leads

GLM-5: 46.4 (#71), Inkling: 31.3 (#225)

BenchmarkGLM-5Inkling
OTIS Mock AIME 2024-202580%88.9%
LMArena Math14401479
FrontierMath (Tiers 1-3)—33.3%
FrontierMath Tier 4—4.9%
MathArena Final-Answer Competitions65.7%—
ProofBench—0%
FrontierMath (Feb 2025 set)16.4%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Inkling leads

GLM-5: 52.3 (#64), Inkling: 55.1 (#49)

BenchmarkGLM-5Inkling
GPQA Diamond87.8%88.3%
LMArena Expert14541465
SimpleQA Verified—40.3%
Vectara Hallucination Rate10.1%—

Multilingual Too close to call

GLM-5: 53.7 (#58), Inkling: 54.0 (#52)

BenchmarkGLM-5Inkling
LMArena Non-English14301434
LMArena Chinese15111490
LMArena French14551458
LMArena German14451446
LMArena Japanese14161429
LMArena Korean14231404
LMArena Russian14361429
LMArena Spanish14541448

Instruction Following Too close to call

GLM-5: 75.2 (#67), Inkling: 75.1 (#71)

BenchmarkGLM-5Inkling
LMArena Instruction Following14281426

Long Context Too close to call

GLM-5: 44.7 (#60), Inkling: 43.8 (#86)

BenchmarkGLM-5Inkling
LMArena Longer Query14461434
CL-bench18.7%—

Writing & Preference Too close to call

GLM-5: 66.0 (#38), Inkling: 65.2 (#51)

BenchmarkGLM-5Inkling
LMArena Text14461441
LMArena Creative Writing14391387
EQ-Bench Creative Writing16011611
LMArena Multi-Turn14561436
EQ-Bench 4—1226

Frequently asked questions

Is GLM-5 better than Inkling?

GLM-5 is the stronger model overall, scoring 46.1 to 44.1 on the Noometry Index.

Which is cheaper, GLM-5 or Inkling?

GLM-5 is cheaper. It lists at $1 per million input tokens and $3.20 per million output tokens; Inkling lists at $1.87 and $4.68.

Is GLM-5 or Inkling better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 34.5 in the Noometry coding category.

Which has the bigger context window?

GLM-5 does, with 205K tokens against 66K.

How many benchmarks do GLM-5 and Inkling share?

29 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Inkling has 41.

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