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qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

cogito:3b

OLLAMA GGUF

llama · 3.6B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
69 vs 67
Hardware Fit
100 vs 100
Quality Score
56 vs 53

Hardware

qwen2.5-1.5b-instr… cogito:3b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5-1.5b-instr… cogito:3b
Tokens/sec58.145.6
First chunk211 ms177 ms
TTFT211 ms177 ms
Load timeN/A0.8 s
Memory usage1.5 GB7.0 GB
Memory %5%22%

HW Fit Score Breakdown

qwen2.5-1.5b-instruct

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

cogito:3b

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

Quality

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

cogito:3b

Reasoning
6/20
Coding
8/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Weak Coding: Weak 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