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llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
46 vs 76
Hardware Fit
61 vs 73
Quality Score
40 vs 77

Hardware

llama3.1:8b glm-4.7-flash:bf16
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperNVIDIA NVIDIA_DGX_Spark
CPUCortex-A78AECortex-X925
Cores620
RAM7 GB122 GB
GPUIntegrated / UnknownDevice 2e12
OSUbuntu 22.04.5 LTSUbuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

llama3.1:8b glm-4.7-flash:bf16
Tokens/sec7.825.8
First chunk1625 ms605 ms
TTFT1.6 s605 ms
Load time21.8 s44.2 s
Memory usage5.2 GB57.0 GB
Memory %71%47%

HW Fit Score Breakdown

llama3.1:8b

Speed
26/50
TTFT
20/20
Memory
15/30

glm-4.7-flash:bf16

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

Quality

llama3.1:8b

Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak 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 llama3.1:8b 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