Back to leaderboard

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
76 vs 80
Hardware Fit
73 vs 100
Quality Score
77 vs 71

Hardware

glm-4.7-flash:bf16 gemma-3-4b-it-q4-k-m
MachineNVIDIA NVIDIA_DGX_SparkMac Pro
CPUCortex-X925Intel Core™ i5-10400
Cores2012
RAM122 GB32 GB
GPUDevice 2e12AMD Radeon RX 6700 XT
OSUbuntu 24.04.4 LTSmacOS 26.5.1
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 gemma-3-4b-it-q4-k-m
Tokens/sec25.875.0
First chunk605 ms136 ms
TTFT605 ms136 ms
Load time44.2 s0.0 s
Memory usage57.0 GB0.8 GB
Memory %47%3%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

gemma-3-4b-it-q4-k-m

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

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View glm-4.7-flash:bf16 details | View gemma-3-4b-it-q4-k-m 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