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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen/qwen3.6-35b-a3b

LM-STUDIO MLX

qwen3_5_moe · 35B · 4bit

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score
76 vs 89
Hardware Fit
73 vs 97
Quality Score
77 vs 86

Hardware

glm-4.7-flash:bf16 qwen/qwen3.6-35b-a3b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M5 Max
Cores2018
RAM122 GB64 GB
GPUDevice 2e12Apple M5 Max
OSUbuntu 24.04.4 LTSmacOS 27.0
Archarm64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 qwen/qwen3.6-35b-a3b
Tokens/sec25.8130.2
First chunk605 ms5 ms
TTFT605 ms135 ms
Load time44.2 sN/A
Memory usage57.0 GB26.6 GB
Memory %47%42%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

qwen/qwen3.6-35b-a3b

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

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

qwen/qwen3.6-35b-a3b

Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View glm-4.7-flash:bf16 details | View qwen/qwen3.6-35b-a3b 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