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parable-qwen3-4b-claude-fable-5

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
67 vs 70
Hardware Fit
66 vs 89
Quality Score
67 vs 62

Hardware

parable-qwen3-4b-c… yi-coder:9b
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… yi-coder:9b
Tokens/sec4.319.4
First chunk13 ms287 ms
TTFT1.9 s287 ms
Load timeN/A0.7 s
Memory usage3.0 GB9.6 GB
Memory %19%30%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

Speed
16/50
TTFT
20/20
Memory
30/30

yi-coder:9b

Speed
39/50
TTFT
20/20
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

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate

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