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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
85 vs 72
Hardware Fit
77 vs 100
Quality Score
88 vs 60

Hardware

qwen3.8:27b-bf16 mistral:latest
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 Modeunknownunknown

Performance

qwen3.8:27b-bf16 mistral:latest
Tokens/sec27.254.3
First chunk237 msN/A
TTFT237 ms124 ms
Load time43.8 s0.0 s
Memory usage68.8 GB9.9 GB
Memory %7%15%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

mistral:latest

Speed
40/50
TTFT
30/20
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

mistral:latest

Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3.8:27b-bf16 details | View mistral:latest 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