qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
67 vs 77
Hardware Fit
51 vs 100
Quality Score
74 vs 67
Hardware
qwen2-57b:57B mlx-community/meta…
MachineGMKtec NucBox EVO-T2SMac mini
CPUIntel Core™ Ultra X7 358HApple M4 Pro
Cores1614
RAM64 GB64 GB
GPUIntel(R) Arc(TM) B390 GPUApple M4 Pro
OSMicrosoft Windows 11 Pro 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2-57b:57B mlx-community/meta…
Tokens/sec8.654.3
First chunk1573 ms277 ms
TTFT1.6 s277 ms
Load time29.0 sN/A
Memory usage32.8 GB4.2 GB
Memory %52%7%
HW Fit Score Breakdown
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
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
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest