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mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
70 vs 76
Hardware Fit
94 vs 100
Quality Score
60 vs 66

Hardware

mistral:7b google/gemma-3-4b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

mistral:7b google/gemma-3-4b
Tokens/sec22.539.4
First chunk252 ms468 ms
TTFT252 ms468 ms
Load time0.7 sN/A
Memory usage10.1 GB2.8 GB
Memory %32%9%

HW Fit Score Breakdown

mistral:7b

Speed
44/50
TTFT
20/20
Memory
30/30

google/gemma-3-4b

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

Quality

mistral:7b

Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View mistral:7b details | View google/gemma-3-4b 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