glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
qwen3-30b-a3b-thinking-2507-claude-4.5-sonnet-high-reasoning-distill-mlx
LM-STUDIO MLXqwen3_moe · 30B · MXFP4
Apr 20, 2026 · Apple M2 Max
Global Score
76 vs 97
Hardware Fit
73 vs 95
Quality Score
77 vs 98
Hardware
glm-4.7-flash:bf16 qwen3-30b-a3b-thin…
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 qwen3-30b-a3b-thin…
Tokens/sec25.879.6
First chunk605 ms11 ms
TTFT605 ms1.7 s
Load time44.2 s7.1 s
Memory usage57.0 GB0.0 GB
Memory %47%0%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
qwen3-30b-a3b-thinking-…
Speed
50/50
TTFT
15/20
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
qwen3-30b-a3b-thinking-…
Reasoning
19/20
Coding
19/20
Instruction
20/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest