Noometry

Model comparison

GLM-4.7 vs Granite 4.0 Micro

GLM-4.7 is the stronger model overall, scoring 42.0 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 25× less per token, which makes it the better buy when GLM-4.7's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

42.0

Rank #124 Confirmed

Granite 4.0 Micro IBM

29.0

Rank #318 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GLM-4.7 scores higher in 5 categories and Granite 4.0 Micro in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.7 leads 47.0 to 9.9.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 83.3% for GLM-4.7 and 2.8% for Granite 4.0 Micro.
  • Granite 4.0 Micro is cheaper at $0.017 / $0.11 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 4.0 Micro
ProviderZ.ai (Zhipu)IBM
Noometry Index42.029.0
Released2025-12-222025-10-02
WeightsOpenOpen
Context window205K131K
Max output131K118K
Input $ / M tokens$0.60$0.017
Output $ / M tokens$2.20$0.11
Results tracked368

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Category by category

Coding Not comparable

GLM-4.7: 44.0 (#79), Granite 4.0 Micro: —

BenchmarkGLM-4.7Granite 4.0 Micro
LMArena WebDev1435—
SciCode45.1%—
LMArena Coding1454—
ALE-Bench399.48—

Agentic & Tool Use Not comparable

GLM-4.7: 26.5 (#103), Granite 4.0 Micro: —

BenchmarkGLM-4.7Granite 4.0 Micro
Terminal-Bench33.4%—
Vending-Bench 22,377—

Reasoning GLM-4.7 leads

GLM-4.7: 24.3 (#164), Granite 4.0 Micro: 19.2 (#265)

BenchmarkGLM-4.7Granite 4.0 Micro
Chess Puzzles6%0%
SimpleBench47.7%—
CritPt1.7%—
LMArena Hard Prompts1443—
Epoch Capabilities Index143.51—

Math GLM-4.7 leads

GLM-4.7: 38.6 (#135), Granite 4.0 Micro: 12.0 (#307)

BenchmarkGLM-4.7Granite 4.0 Micro
OTIS Mock AIME 2024-202583.3%2.8%
ProofBench6%—
Omni-MATH—20.9%
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 4.0 Micro: 9.9 (#304)

BenchmarkGLM-4.7Granite 4.0 Micro
GPQA Diamond83.3%28.3%
SimpleQA Verified32.2%—
MMLU-Pro—39.5%
Vectara Hallucination Rate11.7%—
GPQA (HELM)—30.7%
LMArena Expert1424—

Multilingual Not comparable

GLM-4.7: 52.8 (#79), Granite 4.0 Micro: —

BenchmarkGLM-4.7Granite 4.0 Micro
LMArena Non-English1417—
LMArena Chinese1495—
LMArena French1432—
LMArena German1424—
LMArena Japanese1439—
LMArena Korean1399—
LMArena Russian1423—
LMArena Spanish1434—

Instruction Following GLM-4.7 leads

GLM-4.7: 74.4 (#95), Granite 4.0 Micro: 69.9 (#169)

BenchmarkGLM-4.7Granite 4.0 Micro
IFEval—84.9%
LMArena Instruction Following1411—

Long Context Not comparable

GLM-4.7: 42.8 (#116), Granite 4.0 Micro: —

BenchmarkGLM-4.7Granite 4.0 Micro
CL-bench15.9%—
CL-bench Life10.9%—
LMArena Longer Query1432—

Writing & Preference GLM-4.7 leads

GLM-4.7: 60.9 (#93), Granite 4.0 Micro: 46.7 (#216)

BenchmarkGLM-4.7Granite 4.0 Micro
LMArena Text1435—
LMArena Creative Writing1401—
EQ-Bench Creative Writing1413—
WildBench—67%
LMArena Multi-Turn1446—

Frequently asked questions

Is GLM-4.7 better than Granite 4.0 Micro?

GLM-4.7 is the stronger model overall, scoring 42.0 to 29.0 on the Noometry Index. Granite 4.0 Micro costs 25× 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 4.0 Micro?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; GLM-4.7 lists at $0.60 and $2.20.

Which has the bigger context window?

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

How many benchmarks do GLM-4.7 and Granite 4.0 Micro share?

3 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and Granite 4.0 Micro has 8.

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