Noometry

Model comparison

GLM-4.7 vs Granite 4.2 8B

GLM-4.7 is the stronger model overall, scoring 42.0 to 40.5 on the Noometry Index. Granite 4.2 8B costs 9.3× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Last verified . 11 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Granite 4.2 8B IBM

40.5

Rank #148 Confirmed

Summary

  • They share 11 benchmarks with published results for both. GLM-4.7 scores higher in 6 categories and Granite 4.2 8B in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-4.7 leads 60.9 to 49.6.
  • Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.60 / $2.20 for GLM-4.7.
  • GLM-4.7 accepts more context: 205K tokens versus 131K.

Side by side

GLM-4.7Granite 4.2 8B
ProviderZ.ai (Zhipu)IBM
Noometry Index42.040.5
Released2025-12-22—
WeightsOpenOpen
Context window205K131K
Max output131K118K
Input $ / M tokens$0.60$0.06
Output $ / M tokens$2.20$0.25
Results tracked3611

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Category by category

Coding GLM-4.7 leads

GLM-4.7: 44.0 (#79), Granite 4.2 8B: 40.5 (#137)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Coding14541380
LMArena WebDev1435—
SciCode45.1%—
ALE-Bench399.48—

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Granite 4.2 8B: —

BenchmarkGLM-4.7Granite 4.2 8B
Terminal-Bench33.4%—
Vending-Bench 22,377—

Reasoning Granite 4.2 8B leads

GLM-4.7: 24.3 (#164), Granite 4.2 8B: 26.6 (#131)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Hard Prompts14431329
SimpleBench47.7%—
CritPt1.7%—
Chess Puzzles6%—
Epoch Capabilities Index143.51—

Math Not comparable

GLM-4.7: 38.6 (#135), Granite 4.2 8B: —

BenchmarkGLM-4.7Granite 4.2 8B
OTIS Mock AIME 2024-202583.3%—
ProofBench6%—
LMArena Math1423—
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge GLM-4.7 leads

GLM-4.7: 47.0 (#80), Granite 4.2 8B: 38.4 (#145)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Expert14241384
GPQA Diamond83.3%—
SimpleQA Verified32.2%—
Vectara Hallucination Rate11.7%—

Multilingual GLM-4.7 leads

GLM-4.7: 52.8 (#79), Granite 4.2 8B: 44.5 (#178)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Non-English14171302
LMArena Chinese14951366
LMArena Russian14231285
LMArena French1432—
LMArena German1424—
LMArena Japanese1439—
LMArena Korean1399—
LMArena Spanish1434—

Instruction Following GLM-4.7 leads

GLM-4.7: 74.4 (#95), Granite 4.2 8B: 68.7 (#184)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Instruction Following14111301

Long Context GLM-4.7 leads

GLM-4.7: 42.8 (#116), Granite 4.2 8B: 40.3 (#159)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Longer Query14321324
CL-bench15.9%—
CL-bench Life10.9%—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), Granite 4.2 8B: 49.6 (#189)

BenchmarkGLM-4.7Granite 4.2 8B
LMArena Text14351320
LMArena Creative Writing14011236
LMArena Multi-Turn14461301
EQ-Bench Creative Writing1413—

Frequently asked questions

Is GLM-4.7 better than Granite 4.2 8B?

GLM-4.7 is the stronger model overall, scoring 42.0 to 40.5 on the Noometry Index. Granite 4.2 8B costs 9.3× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7 or Granite 4.2 8B?

Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Is GLM-4.7 or Granite 4.2 8B better for coding?

GLM-4.7 scores higher on coding benchmarks: 44.0 versus 40.5 in the Noometry coding category.

Which has the bigger context window?

GLM-4.7 does, with 205K tokens against 131K.

How many benchmarks do GLM-4.7 and Granite 4.2 8B share?

11 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Granite 4.2 8B has 11.

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