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lmstudio-community/gemma-4-26b-a4b-it

LM-STUDIO GGUF

gemma4 · 26B · Q4_K_M

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

Global Score
81 vs 53
Hardware Fit
56 vs 89
Quality Score
91 vs 38

Hardware

lmstudio-community… qwen3.5-0.8b-mlx
MachineDocker ContainerMac mini
CPUIntel Gen Intel® Core™ i9-11900HApple M4 Pro
Cores1614
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4 Pro
OSUbuntu 26.04 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

lmstudio-community… qwen3.5-0.8b-mlx
Tokens/sec9.952.9
First chunk145 ms4013 ms
TTFT4.4 s4.0 s
Load time48.3 sN/A
Memory usage5.6 GB0.6 GB
Memory %37%1%

HW Fit Score Breakdown

lmstudio-community/gemm…

Speed
18/50
TTFT
10/20
Memory
28/30

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

lmstudio-community/gemm…

Reasoning
17/20
Coding
19/20
Instruction
18/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

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