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qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

glm-4.7-flash:latest

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 27, 2026 · AMD RYZEN AI MAX+ 395

Global Score
68 vs 83
Hardware Fit
100 vs 100
Quality Score
54 vs 76

Hardware

qwen2.5-coder:1.5b glm-4.7-flash:latest
MachineLENOVO 20U30029MBAZW GTR Pro
CPUIntel Core™ i5-10210UAMD RYZEN AI MAX+ 395
Cores832
RAM15 GB125 GB
GPUCometLake-U GT2 [UHD Graphics]Radeon 8060S
OSPop 24.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modelow-powerperformance

Performance

qwen2.5-coder:1.5b glm-4.7-flash:latest
Tokens/sec21.858.0
First chunk499 ms268 ms
TTFT499 ms268 ms
Load time4.4 s7.8 s
Memory usage1.5 GB37.7 GB
Memory %10%30%

HW Fit Score Breakdown

qwen2.5-coder:1.5b

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

glm-4.7-flash:latest

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

Quality

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong

glm-4.7-flash:latest

Reasoning
13/20
Coding
17/20
Instruction
11/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen2.5-coder:1.5b details | View glm-4.7-flash:latest 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