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mistralai/ministral-3-3b

LM-STUDIO GGUF

mistral3 · 3B · Q4_K_M

Good

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
76 vs 76
Hardware Fit
94 vs 73
Quality Score
68 vs 77

Hardware

mistralai/ministra… glm-4.7-flash:bf16
MachineGMKtec EVO-X3NVIDIA NVIDIA_DGX_Spark
CPUAMD RYZEN AI MAX+ 395Cortex-X925
Cores3220
RAM120 GB122 GB
GPUAMD Radeon(TM) 8060S GraphicsDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26300Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

mistralai/ministra… glm-4.7-flash:bf16
Tokens/sec50.225.8
First chunk6 ms605 ms
TTFT726 ms605 ms
Load timeN/A44.2 s
Memory usage19.6 GB57.0 GB
Memory %16%47%

HW Fit Score Breakdown

mistralai/ministral-3-3b

Speed
46/50
TTFT
18/20
Memory
30/30

glm-4.7-flash:bf16

Speed
27/50
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

glm-4.7-flash:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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