parable-qwen3-4b-claude-fable-5
LM-STUDIO GGUFqwen3 · 4B · Q4_K_M
Oct 24, 2026 · Intel Core™ i3-9100F
mistral-nemo:12b
OLLAMA GGUFllama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
67 vs 71
Hardware Fit
66 vs 86
Quality Score
67 vs 65
Hardware
parable-qwen3-4b-c… mistral-nemo:12b
MachineGigabyte Technology Co., Ltd. H310M S2 2.0MacBook Air
CPUIntel Core™ i3-9100FApple M4
Cores410
RAM16 GB32 GB
GPUVirtual Desktop Monitor, NVIDIA GeForce GTX 1650Apple M4
OSМайкрософт Windows 10 Pro 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
parable-qwen3-4b-c… mistral-nemo:12b
Tokens/sec4.314.6
First chunk13 msN/A
TTFT1.9 s371 ms
Load timeN/A1.0 s
Memory usage3.0 GB13.3 GB
Memory %19%42%
HW Fit Score Breakdown
parable-qwen3-4b-claude…
Speed
16/50
TTFT
20/20
Memory
30/30
mistral-nemo:12b
Speed
26/50
TTFT
30/20
Memory
30/30
Quality
parable-qwen3-4b-claude…
Reasoning
12/20
Coding
12/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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