Back to leaderboard

gemma-2-2b-it

LM-STUDIO GGUF

gemma2 · 2B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
58 vs 65
Hardware Fit
50 vs 88
Quality Score
62 vs 55

Hardware

gemma-2-2b-it glm-4.6v-flash
MachineLENOVO 20BUS00700Mac Studio
CPUIntel Core™ i5-5300UApple M2 Max
Cores412
RAM16 GB96 GB
GPUIntel(R) HD Graphics 5500Apple M2 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

gemma-2-2b-it glm-4.6v-flash
Tokens/sec3.649.9
First chunk4509 ms27 ms
TTFT4.5 s3.7 s
Load timeN/A2.7 s
Memory usage1.6 GB0.0 GB
Memory %10%0%

HW Fit Score Breakdown

gemma-2-2b-it

Speed
14/50
TTFT
12/20
Memory
24/30

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

Quality

gemma-2-2b-it

Reasoning
11/20
Coding
8/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong 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