Back to leaderboard

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

zai-org/glm-4.7-flash

LM-STUDIO GGUF

deepseek2 · 30B · Q4_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

Global Score
52 vs 83
Hardware Fit
100 vs 86
Quality Score
32 vs 81

Hardware

smollm2-360m-instr… zai-org/glm-4.7-fl…
MachineMacBook AirASUS
CPUApple M4AMD Ryzen 7 7800X3D 8-Core Processor
Cores1016
RAM32 GB31 GB
GPUApple M4NVIDIA GeForce RTX 4090, Raphael
OSmacOS 26.3cachyos rolling
Archarm64x64
Power Modebalancedlow-power

Performance

smollm2-360m-instr… zai-org/glm-4.7-fl…
Tokens/sec121.1102.9
First chunk106 ms5 ms
TTFT106 ms153 ms
Load timeN/AN/A
Memory usage0.7 GB20.8 GB
Memory %2%68%

HW Fit Score Breakdown

smollm2-360m-instruct

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

zai-org/glm-4.7-flash

Speed
50/50
TTFT
20/20
Memory
16/30

Quality

smollm2-360m-instruct

Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak

zai-org/glm-4.7-flash

Reasoning
13/20
Coding
19/20
Instruction
14/20
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