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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

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
68 vs 70
Hardware Fit
100 vs 89
Quality Score
54 vs 62

Hardware

qwen2.5-coder:1.5b yi-coder:9b
MachineLENOVO 20U30029MBMacBook Air
CPUIntel Core™ i5-10210UApple M4
Cores810
RAM15 GB32 GB
GPUCometLake-U GT2 [UHD Graphics]Apple M4
OSPop 24.04 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen2.5-coder:1.5b yi-coder:9b
Tokens/sec21.819.4
First chunk499 ms287 ms
TTFT499 ms287 ms
Load time4.4 s0.7 s
Memory usage1.5 GB9.6 GB
Memory %10%30%

HW Fit Score Breakdown

qwen2.5-coder:1.5b

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

yi-coder:9b

Speed
39/50
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

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate
View qwen2.5-coder:1.5b details | View yi-coder:9b 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