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qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

glm4:9b

OLLAMA GGUF

chatglm · 9.4B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
81 vs 76
Hardware Fit
95 vs 88
Quality Score
75 vs 71

Hardware

qwen3:8b glm4:9b
MachineASUSMacBook Air
CPUIntel Core™ i5-14600KFApple M4
Cores2010
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:8b glm4:9b
Tokens/sec108.319.0
First chunk169 ms290 ms
TTFT169 ms290 ms
Load time1.7 s0.8 s
Memory usage5.6 GB8.1 GB
Memory %18%25%

HW Fit Score Breakdown

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
25/30

glm4:9b

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

glm4:9b

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3:8b details | View glm4:9b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest