Mixtral-47B:47B
OLLAMA GGUFllama · 46.7B · Q4_0
Aug 19, 2026 · Intel Core™ i7-14700F
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 26, 2026 · Apple M1 Pro
Global Score
55 vs 66
Hardware Fit
55 vs 100
Quality Score
55 vs 52
Hardware
Mixtral-47B:47B hf.co/empero-ai/Qw…
MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCMacBook Pro
CPUIntel Core™ i7-14700FApple M1 Pro
Cores2810
RAM64 GB16 GB
GPUNVIDIA GeForce RTX 5080Apple M1 Pro
OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
Mixtral-47B:47B hf.co/empero-ai/Qw…
Tokens/sec6.740.2
First chunk758 ms101 ms
TTFT758 ms101 ms
Load time12.1 s2.6 s
Memory usage25.5 GB4.7 GB
Memory %40%30%
HW Fit Score Breakdown
Mixtral-47B:47B
Speed
7/50
TTFT
20/20
Memory
28/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
Mixtral-47B:47B
Reasoning
9/20
Coding
14/20
Instruction
6/20
Structured
12/15
Math
7/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Adequate
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest