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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Not Rec.

Aug 22, 2026 · Apple M1 Pro

Global Score
85 vs 63
Hardware Fit
77 vs 62
Quality Score
88 vs 63

Hardware

qwen3.8:27b-bf16 gemma4:12b
MachineDell Inc. PowerEdge XE8545MacBook Pro
CPUAMD EPYC 7713 64-Core ProcessorApple M1 Pro
Cores12810
RAM1007 GB16 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M1 Pro
OSRocky Linux 8.10macOS 26.6.2
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.8:27b-bf16 gemma4:12b
Tokens/sec27.215.3
First chunk237 ms1142 ms
TTFT237 ms30.0 s
Load time43.8 s5.4 s
Memory usage68.8 GB7.6 GB
Memory %7%47%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

gemma4:12b

Speed
36/50
TTFT
0/20
Memory
26/30

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

gemma4:12b

Reasoning
10/20
Coding
10/20
Instruction
9/20
Structured
14/15
Math
10/15
Multilingual
10/10
Reasoning: Weak Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.8:27b-bf16 details | View gemma4:12b 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