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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
85 vs 76
Hardware Fit
100 vs 73
Quality Score
79 vs 77

Hardware

qwen2.5:7b glm-4.7-flash:bf16
MachineMACHENIKE L16PNVIDIA NVIDIA_DGX_Spark
CPUIntel Gen Intel® Core™ i9-12900HXCortex-X925
Cores2420
RAM32 GB122 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 专业版 10.0.26300Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

qwen2.5:7b glm-4.7-flash:bf16
Tokens/sec52.325.8
First chunk50 ms605 ms
TTFT50 ms605 ms
Load time2.0 s44.2 s
Memory usage4.4 GB57.0 GB
Memory %14%47%

HW Fit Score Breakdown

qwen2.5:7b

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

glm-4.7-flash:bf16

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5:7b details | View glm-4.7-flash:bf16 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