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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

Global Score
89 vs 73
Hardware Fit
95 vs 100
Quality Score
87 vs 62

Hardware

qwen/qwen3-8b mistral:latest
MachineMac miniMicro-Star International Co., Ltd. MS-7B79
CPUApple M4 ProAMD Ryzen 5 2600X Six-Core Processor
Cores1412
RAM64 GB16 GB
GPUApple M4 ProNVIDIA GeForce GTX 1080
OSmacOS 15.7.4Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b mistral:latest
Tokens/sec33.431.7
First chunk257 ms102 ms
TTFT257 ms102 ms
Load timeN/A14.3 s
Memory usage4.3 GB4.8 GB
Memory %7%30%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

mistral:latest

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

Quality

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen/qwen3-8b 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