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qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
61 vs 81
Hardware Fit
85 vs 89
Quality Score
51 vs 77

Hardware

qwen3:0.6b glm-4.7-flash:q4_K_M
MachineLENOVO 20L7CTO1WWASUS
CPUIntel Core™ i5-8350UIntel Core™ i5-14600KF
Cores820
RAM23 GB32 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]NVIDIA GeForce RTX 4070 Ti SUPER
OSFedora Linux 43Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen3:0.6b glm-4.7-flash:q4_K_M
Tokens/sec27.035.1
First chunk597 ms440 ms
TTFT8.7 s440 ms
Load time1.8 s11.6 s
Memory usage0.9 GB18.4 GB
Memory %4%58%

HW Fit Score Breakdown

qwen3:0.6b

Speed
50/50
TTFT
5/20
Memory
30/30

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

Quality

qwen3:0.6b

Reasoning
14/20
Coding
0/20
Instruction
9/20
Structured
12/15
Math
9/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Adequate

glm-4.7-flash:q4_K_M

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3:0.6b details | View glm-4.7-flash:q4_K_M 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