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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-small:24b

OLLAMA GGUF

llama · 23.6B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
85 vs 75
Hardware Fit
77 vs 64
Quality Score
88 vs 80

Hardware

qwen3.8:27b-bf16 mistral-small:24b
MachineDell Inc. PowerEdge XE8545NVIDIA NVIDIA_DGX_Spark
CPUAMD EPYC 7713 64-Core ProcessorCortex-X925
Cores12820
RAM1007 GB122 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Device 2e12
OSRocky Linux 8.10Ubuntu 24.04.4 LTS
Archx64arm64
Power Modeunknownperformance

Performance

qwen3.8:27b-bf16 mistral-small:24b
Tokens/sec27.214.3
First chunk237 ms327 ms
TTFT237 ms327 ms
Load time43.8 s12.0 s
Memory usage68.8 GB18.5 GB
Memory %7%15%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

mistral-small:24b

Speed
14/50
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

mistral-small:24b

Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong 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