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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ Ultra X7 358H

Global Score
76 vs 67
Hardware Fit
73 vs 51
Quality Score
77 vs 74

Hardware

glm-4.7-flash:bf16 qwen2-57b:57B
MachineNVIDIA NVIDIA_DGX_SparkGMKtec NucBox EVO-T2S
CPUCortex-X925Intel Core™ Ultra X7 358H
Cores2016
RAM122 GB64 GB
GPUDevice 2e12Intel(R) Arc(TM) B390 GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 qwen2-57b:57B
Tokens/sec25.88.6
First chunk605 ms1573 ms
TTFT605 ms1.6 s
Load time44.2 s29.0 s
Memory usage57.0 GB32.8 GB
Memory %47%52%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

qwen2-57b:57B

Speed
10/50
TTFT
17/20
Memory
24/30

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

qwen2-57b:57B

Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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