Back to leaderboard

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
76 vs 64
Hardware Fit
73 vs 100
Quality Score
77 vs 49

Hardware

glm-4.7-flash:bf16 smollm2:1.7b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Air
CPUCortex-X925Apple M4
Cores2010
RAM122 GB32 GB
GPUDevice 2e12Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archarm64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 smollm2:1.7b
Tokens/sec25.851.8
First chunk605 msN/A
TTFT605 ms84 ms
Load time44.2 s0.4 s
Memory usage57.0 GB3.7 GB
Memory %47%12%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

smollm2:1.7b

Speed
40/50
TTFT
30/20
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

smollm2:1.7b

Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View glm-4.7-flash:bf16 details | View smollm2:1.7b 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