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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

cogito:3b

OLLAMA GGUF

llama · 3.6B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
85 vs 67
Hardware Fit
77 vs 100
Quality Score
88 vs 53

Hardware

qwen3.8:27b-bf16 cogito:3b
MachineDell Inc. PowerEdge XE8545MacBook Air
CPUAMD EPYC 7713 64-Core ProcessorApple M4
Cores12810
RAM1007 GB32 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M4
OSRocky Linux 8.10macOS 26.3
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.8:27b-bf16 cogito:3b
Tokens/sec27.245.6
First chunk237 ms177 ms
TTFT237 ms177 ms
Load time43.8 s0.8 s
Memory usage68.8 GB7.0 GB
Memory %7%22%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

cogito:3b

Speed
50/50
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

cogito:3b

Reasoning
6/20
Coding
8/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3.8:27b-bf16 details | View cogito:3b 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