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ministral-3:3b

OLLAMA GGUF

mistral3 · 3.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

Aug 18, 2026 · Intel Core™ i7-14700F

Global Score
71 vs 69
Hardware Fit
99 vs 51
Quality Score
59 vs 76

Hardware

ministral-3:3b qwen2-57b:57B
MachineMacBook AirHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M4Intel Core™ i7-14700F
Cores1028
RAM32 GB64 GB
GPUApple M4NVIDIA GeForce RTX 5080
OSmacOS 26.3Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

ministral-3:3b qwen2-57b:57B
Tokens/sec42.27.7
First chunk189 ms940 ms
TTFT189 ms940 ms
Load time1.2 s0.2 s
Memory usage7.0 GB33.3 GB
Memory %22%52%

HW Fit Score Breakdown

ministral-3:3b

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

qwen2-57b:57B

Speed
8/50
TTFT
19/20
Memory
24/30

Quality

ministral-3:3b

Reasoning
5/20
Coding
16/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen2-57b:57B

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
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