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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
85 vs 72
Hardware Fit
100 vs 100
Quality Score
79 vs 60

Hardware

qwen2.5:7b mistral:latest
MachineMACHENIKE L16PMac Mini
CPUIntel Gen Intel® Core™ i9-12900HXApple M4 Pro
Cores2414
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedunknown

Performance

qwen2.5:7b mistral:latest
Tokens/sec52.454.3
First chunk48 msN/A
TTFT48 ms124 ms
Load time2.0 s0.0 s
Memory usage4.4 GB9.9 GB
Memory %14%15%

HW Fit Score Breakdown

qwen2.5:7b

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

mistral:latest

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

mistral:latest

Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5:7b details | View mistral:latest 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