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qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
48 vs 60
Hardware Fit
61 vs 80
Quality Score
42 vs 52

Hardware

qwen3.5-0.8b lfm2.5-thinking:1.2b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB48 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b lfm2.5-thinking:1.2b
Tokens/sec6.2227.0
First chunk4461 ms60 ms
TTFT4.5 s30.0 s
Load timeN/A0.7 s
Memory usage0.7 GB2.6 GB
Memory %4%6%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

Quality

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

lfm2.5-thinking:1.2b

Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong
View qwen3.5-0.8b details | View lfm2.5-thinking:1.2b 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