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qwen2.5-0.5b-instruct

LM-STUDIO GGUF

qwen2 · 0.5B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
53 vs 65
Hardware Fit
89 vs 88
Quality Score
38 vs 55

Hardware

qwen2.5-0.5b-instr… glm-4.6v-flash
MachineLENOVO 20BUS00700Mac Studio
CPUIntel Core™ i5-5300UApple M2 Max
Cores412
RAM16 GB96 GB
GPUIntel(R) HD Graphics 5500Apple M2 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… glm-4.6v-flash
Tokens/sec13.249.9
First chunk1339 ms27 ms
TTFT1.3 s3.7 s
Load timeN/A2.7 s
Memory usage0.4 GB0.0 GB
Memory %2%0%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct

Speed
41/50
TTFT
20/20
Memory
28/30

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

qwen2.5-0.5b-instruct

Reasoning
5/20
Coding
4/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong

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