Back to leaderboard

hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S

OLLAMA GGUF

qwen35 · 27.3B · unknown

Marginal

Aug 25, 2026 · Apple M1 Pro

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
46 vs 76
Hardware Fit
50 vs 73
Quality Score
44 vs 77

Hardware

hf.co/unsloth/Qwen… glm-4.7-flash:bf16
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M1 ProCortex-X925
Cores1020
RAM16 GB122 GB
GPUApple M1 ProDevice 2e12
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

hf.co/unsloth/Qwen… glm-4.7-flash:bf16
Tokens/sec6.025.8
First chunk2377 ms605 ms
TTFT2.2 s605 ms
Load time6.8 s44.2 s
Memory usage10.6 GB57.0 GB
Memory %66%47%

HW Fit Score Breakdown

hf.co/unsloth/Qwen3.8-2…

Speed
15/50
TTFT
18/20
Memory
17/30

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

Quality

hf.co/unsloth/Qwen3.8-2…

Reasoning
8/20
Coding
5/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

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