mistralai/ministral-3-3b
LM-STUDIO GGUFmistral3 · 3B · Q4_K_M
Oct 31, 2026 · AMD RYZEN AI MAX+ 395
qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
75 vs 81
Hardware Fit
90 vs 96
Quality Score
68 vs 75
Hardware
mistralai/ministra… qwen3:8b
MachineGMKtec EVO-X3ASUS
CPUAMD RYZEN AI MAX+ 395Intel Core™ i5-14600KF
Cores3220
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
mistralai/ministra… qwen3:8b
Tokens/sec49.1109.1
First chunk17 ms190 ms
TTFT677 ms190 ms
Load time7.7 s4.3 s
Memory usage48.1 GB5.6 GB
Memory %40%18%
HW Fit Score Breakdown
mistralai/ministral-3-3b
Speed
45/50
TTFT
18/20
Memory
27/30
qwen3:8b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
mistralai/ministral-3-3b
Reasoning
10/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
qwen3:8b
Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest