Back to leaderboard

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

unsloth-phi-4

LM-STUDIO MLX

llama · 4bit

Excellent

Mar 6, 2026 · Apple M4 Pro

Global Score
85 vs 82
Hardware Fit
77 vs 88
Quality Score
88 vs 80

Hardware

qwen3.8:27b-bf16 unsloth-phi-4
MachineDell Inc. PowerEdge XE8545Mac mini
CPUAMD EPYC 7713 64-Core ProcessorApple M4 Pro
Cores12814
RAM1007 GB64 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M4 Pro
OSRocky Linux 8.10macOS 15.7.4
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.8:27b-bf16 unsloth-phi-4
Tokens/sec27.227.4
First chunk237 ms457 ms
TTFT237 ms457 ms
Load time43.8 sN/A
Memory usage68.8 GB7.7 GB
Memory %7%12%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

unsloth-phi-4

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

unsloth-phi-4

Reasoning
15/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.8:27b-bf16 details | View unsloth-phi-4 details

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