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mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen2.5-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
70 vs 61
Hardware Fit
94 vs 69
Quality Score
60 vs 58

Hardware

mistral:7b qwen2.5-1.5b-instr…
MachineMacBook AirLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM32 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

mistral:7b qwen2.5-1.5b-instr…
Tokens/sec22.56.6
First chunk252 ms2277 ms
TTFT252 ms2.3 s
Load time0.7 sN/A
Memory usage10.1 GB0.9 GB
Memory %32%6%

HW Fit Score Breakdown

mistral:7b

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

qwen2.5-1.5b-instruct

Speed
23/50
TTFT
19/20
Memory
27/30

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

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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