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qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

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

qwen3.5-9b

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score
67 vs 81
Hardware Fit
51 vs 84
Quality Score
74 vs 79

Hardware

qwen2-57b:57B qwen3.5-9b
MachineGMKtec NucBox EVO-T2SMacBook Air
CPUIntel Core™ Ultra X7 358HApple M4
Cores1610
RAM64 GB32 GB
GPUIntel(R) Arc(TM) B390 GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2-57b:57B qwen3.5-9b
Tokens/sec8.620.4
First chunk1573 ms3034 ms
TTFT1.6 s3.0 s
Load time29.0 sN/A
Memory usage32.8 GB5.6 GB
Memory %52%17%

HW Fit Score Breakdown

qwen2-57b:57B

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

qwen3.5-9b

Speed
41/50
TTFT
14/20
Memory
29/30

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

qwen3.5-9b

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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