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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
76 vs 87
Hardware Fit
73 vs 100
Quality Score
77 vs 81

Hardware

glm-4.7-flash:bf16 qwen3-vl-4b-instruct
MachineNVIDIA NVIDIA_DGX_SparkMac Studio
CPUCortex-X925Apple M2 Max
Cores2012
RAM122 GB96 GB
GPUDevice 2e12Apple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archarm64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 qwen3-vl-4b-instruct
Tokens/sec25.871.2
First chunk605 ms4 ms
TTFT605 ms156 ms
Load time44.2 sN/A
Memory usage57.0 GB20.5 GB
Memory %47%21%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

qwen3-vl-4b-instruct

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

Quality

glm-4.7-flash:bf16

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

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.7-flash:bf16 details | View qwen3-vl-4b-instruct 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