Model comparison

GLM-4.5V vs Phi-4 Mini

GLM-4.5V is the stronger model overall, scoring 39.2 to 30.4 on the Noometry Index. Phi-4 Mini costs 6.9× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.2

Rank #158 Confirmed

Phi-4 Mini

Microsoft

30.4

Rank #280 Reported

Summary

The widest gap is in knowledge, where GLM-4.5V leads 36.8 to 24.8.
Phi-4 Mini is cheaper at $0.075 / $0.30 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
Phi-4 Mini accepts more context: 128K tokens versus 64K.

Side by side

GLM-4.5V and Phi-4 Mini specifications
	GLM-4.5V	Phi-4 Mini
Provider	Z.ai (Zhipu)	Microsoft
Noometry Index	39.2	30.4
Released	2025-08-11	2024-12-11
Weights	Open	Open
Context window	64K	128K
Max output	16K	4K
Input $ / M tokens	$0.60	$0.075
Output $ / M tokens	$1.80	$0.30
Results tracked	15	3

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Category by category

Coding GLM-4.5V leads

GLM-4.5V: 38.9 (#152), Phi-4 Mini: 27.6 (#312)

Coding benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
SciCode	—	10.8%
LMArena Coding	1347	—

Reasoning GLM-4.5V leads

GLM-4.5V: 26.5 (#118), Phi-4 Mini: 21.7 (#190)

Reasoning benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
Kagi LLM Benchmark	59.8%	—
CritPt	—	0%
LMArena Hard Prompts	1335	—

Math Not comparable

GLM-4.5V: 34.7 (#157), Phi-4 Mini: —

Math benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
LMArena Math	1353	—

Knowledge GLM-4.5V leads

GLM-4.5V: 36.8 (#155), Phi-4 Mini: 24.8 (#261)

Knowledge benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
Vectara Hallucination Rate	—	23.5%
LMArena Expert	1353	—

Multimodal Not comparable

GLM-4.5V: 33.6 (#86), Phi-4 Mini: —

Multimodal benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
LMArena Vision	1154	—

Multilingual Not comparable

GLM-4.5V: 44.9 (#172), Phi-4 Mini: —

Multilingual benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
LMArena Non-English	1304	—
LMArena Chinese	1338	—
LMArena Russian	1299	—
LMArena Spanish	1335	—

Instruction Following Not comparable

GLM-4.5V: 69.4 (#170), Phi-4 Mini: —

Instruction Following benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
LMArena Instruction Following	1311	—

Long Context Not comparable

GLM-4.5V: 39.6 (#166), Phi-4 Mini: —

Long Context benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
LMArena Longer Query	1305	—

Writing & Preference Not comparable

GLM-4.5V: 52.7 (#162), Phi-4 Mini: —

Writing & Preference benchmarks
Benchmark	GLM-4.5V	Phi-4 Mini
LMArena Text	1333	—
LMArena Creative Writing	1295	—
LMArena Multi-Turn	1333	—

Frequently asked questions

Is GLM-4.5V better than Phi-4 Mini?

Which is cheaper, GLM-4.5V or Phi-4 Mini?

Phi-4 Mini is cheaper. It lists at $0.075 per million input tokens and $0.30 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.

Is GLM-4.5V or Phi-4 Mini better for coding?

GLM-4.5V scores higher on coding benchmarks: 38.9 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Phi-4 Mini does, with 128K tokens against 64K.

How many benchmarks do GLM-4.5V and Phi-4 Mini share?

0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Phi-4 Mini has 3.