Back to leaderboard

qwen2.5-coder-1.5b-instruct-mlx

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
70 vs 72
Hardware Fit
100 vs 71
Quality Score
57 vs 72

Hardware

qwen2.5-coder-1.5b… ministral-3:8b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder-1.5b… ministral-3:8b
Tokens/sec58.419.8
First chunk234 ms269 ms
TTFT234 ms269 ms
Load timeN/A10.7 s
Memory usage1.5 GB13.7 GB
Memory %5%86%

HW Fit Score Breakdown

qwen2.5-coder-1.5b-inst…

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

ministral-3:8b

Speed
44/50
TTFT
20/20
Memory
7/30

Quality

qwen2.5-coder-1.5b-inst…

Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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