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qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
68 vs 89
Hardware Fit
100 vs 95
Quality Score
54 vs 87

Hardware

qwen2.5-coder:1.5b qwen/qwen3-8b
MachineLENOVO 20U30029MBMac mini
CPUIntel Core™ i5-10210UApple M4 Pro
Cores814
RAM15 GB64 GB
GPUCometLake-U GT2 [UHD Graphics]Apple M4 Pro
OSPop 24.04 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen2.5-coder:1.5b qwen/qwen3-8b
Tokens/sec21.833.4
First chunk499 ms257 ms
TTFT499 ms257 ms
Load time4.4 sN/A
Memory usage1.5 GB4.3 GB
Memory %10%7%

HW Fit Score Breakdown

qwen2.5-coder:1.5b

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5-coder:1.5b details | View qwen/qwen3-8b details

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