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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
65 vs 71
Hardware Fit
92 vs 86
Quality Score
54 vs 65

Hardware

qwen2.5:1.5b mistral-nemo:12b
MachineiMacMacBook Air
CPUIntel Core™ i7-4771Apple M4
Cores810
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MApple M4
OSmacOS 15.7.3macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b mistral-nemo:12b
Tokens/sec19.614.6
First chunk690 msN/A
TTFT690 ms371 ms
Load time21.4 s1.0 s
Memory usage1.0 GB13.3 GB
Memory %3%42%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

mistral-nemo:12b

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

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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