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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 5, 2026 · Apple M1 Max

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
62 vs 45
Hardware Fit
100 vs 67
Quality Score
46 vs 35

Hardware

qwen3.5:0.8b yi-coder-1.5b-chat
MachineMacBook ProLENOVO 20BUS00700
CPUApple M1 MaxIntel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M1 MaxIntel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:0.8b yi-coder-1.5b-chat
Tokens/sec67.67.7
First chunk209 ms2668 ms
TTFT209 ms2.7 s
Load time1.9 sN/A
Memory usage2.6 GB0.9 GB
Memory %8%6%

HW Fit Score Breakdown

qwen3.5:0.8b

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

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

Quality

qwen3.5:0.8b

Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
View qwen3.5:0.8b details | View yi-coder-1.5b-chat 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