Model comparison

GLM-4.6 vs Granite 4.0 Micro

GLM-4.6 is the stronger model overall, scoring 40.9 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 25× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

Summary

The widest gap is in knowledge, where GLM-4.6 leads 39.6 to 9.9.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
GLM-4.6 accepts more context: 205K tokens versus 131K.

Side by side

GLM-4.6 and Granite 4.0 Micro specifications
	GLM-4.6	Granite 4.0 Micro
Provider	Z.ai (Zhipu)	IBM
Noometry Index	40.9	28.8
Released	2025-09-30	2025-10-02
Weights	Open	Open
Context window	205K	131K
Max output	131K	118K
Input $ / M tokens	$0.60	$0.017
Output $ / M tokens	$2.20	$0.11
Results tracked	29	8

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Category by category

Coding Not comparable

GLM-4.6: 39.9 (#137), Granite 4.0 Micro: —

Coding benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
SWE-bench Verified (bash only)	55.4%	—
LMArena WebDev	1339	—
SciCode	38.4%	—
LMArena Coding	1449	—
ALE-Bench	340.82	—

Agentic & Tool Use Not comparable

GLM-4.6: 32.1 (#60), Granite 4.0 Micro: —

Agentic & Tool Use benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
Terminal-Bench	24.5%	—
Berkeley Function Calling Leaderboard	72.4%	—

Reasoning GLM-4.6 leads

GLM-4.6: 23.1 (#168), Granite 4.0 Micro: 18.5 (#261)

Reasoning benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
Kagi LLM Benchmark	47.4%	—
CritPt	1.1%	—
Chess Puzzles	—	0%
LMArena Hard Prompts	1440	—

Math GLM-4.6 leads

GLM-4.6: 36.4 (#115), Granite 4.0 Micro: 11.2 (#301)

Math benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
OTIS Mock AIME 2024-2025	—	2.8%
Omni-MATH	—	20.9%
LMArena Math	1431	—
FrontierMath (Feb 2025 set)	3.8%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge GLM-4.6 leads

GLM-4.6: 39.6 (#118), Granite 4.0 Micro: 9.9 (#299)

Knowledge benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
GPQA Diamond	—	28.3%
MMLU-Pro	—	39.5%
Vectara Hallucination Rate	9.5%	—
GPQA (HELM)	—	30.7%
LMArena Expert	1432	—

Multilingual Not comparable

GLM-4.6: 53.6 (#62), Granite 4.0 Micro: —

Multilingual benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
LMArena Non-English	1426	—
LMArena Chinese	1500	—
LMArena French	1459	—
LMArena German	1447	—
LMArena Japanese	1394	—
LMArena Korean	1401	—
LMArena Russian	1418	—
LMArena Spanish	1436	—

Instruction Following GLM-4.6 leads

GLM-4.6: 74.5 (#93), Granite 4.0 Micro: 70.0 (#164)

Instruction Following benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
IFEval	—	84.9%
LMArena Instruction Following	1410	—

Long Context Not comparable

GLM-4.6: 43.4 (#91), Granite 4.0 Micro: —

Long Context benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
LMArena Longer Query	1423	—

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.3 (#86), Granite 4.0 Micro: 46.7 (#212)

Writing & Preference benchmarks
Benchmark	GLM-4.6	Granite 4.0 Micro
LMArena Text	1440	—
LMArena Creative Writing	1411	—
EQ-Bench Creative Writing	1411	—
WildBench	—	67%
LMArena Multi-Turn	1427	—

Frequently asked questions

Is GLM-4.6 better than Granite 4.0 Micro?

Which is cheaper, GLM-4.6 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-4.6 lists at $0.60 and $2.20.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 131K.

How many benchmarks do GLM-4.6 and Granite 4.0 Micro share?

0 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Granite 4.0 Micro has 8.