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qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

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

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
67 vs 81
Hardware Fit
51 vs 89
Quality Score
74 vs 77

Hardware

qwen2-57b:57B glm-4.7-flash:q4_K_M
MachineGMKtec NucBox EVO-T2SASUS
CPUIntel Core™ Ultra X7 358HIntel Core™ i5-14600KF
Cores1620
RAM64 GB32 GB
GPUIntel(R) Arc(TM) B390 GPUNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2-57b:57B glm-4.7-flash:q4_K_M
Tokens/sec8.635.1
First chunk1573 ms440 ms
TTFT1.6 s440 ms
Load time29.0 s11.6 s
Memory usage32.8 GB18.4 GB
Memory %52%58%

HW Fit Score Breakdown

qwen2-57b:57B

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

glm-4.7-flash:q4_K_M

Speed
49/50
TTFT
20/20
Memory
20/30

Quality

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

glm-4.7-flash:q4_K_M

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

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