Back to leaderboard

mistralai/ministral-3-3b

LM-STUDIO GGUF

mistral3 · 3B · Q4_K_M

Good

Oct 31, 2026 · AMD RYZEN AI MAX+ 395

codestral:22b

OLLAMA GGUF

llama · 22.2B · Q4_0

Good

Jun 26, 2026 · Cortex-X925

Global Score
75 vs 67
Hardware Fit
90 vs 67
Quality Score
68 vs 67

Hardware

mistralai/ministra… codestral:22b
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… codestral:22b
Tokens/sec49.117.2
First chunk17 ms129 ms
TTFT677 ms129 ms
Load time7.7 s11.6 s
Memory usage48.1 GB18.9 GB
Memory %40%16%

HW Fit Score Breakdown

mistralai/ministral-3-3b

Speed
45/50
TTFT
18/20
Memory
27/30

codestral:22b

Speed
17/50
TTFT
20/20
Memory
30/30

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

codestral:22b

Reasoning
11/20
Coding
17/20
Instruction
9/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak 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