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

LM-STUDIO GGUF

qwen3 · 4B · Q4_K_M

Good

Oct 24, 2026 · Intel Core™ i3-9100F

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

67 vs 74

Hardware Fit

66 vs 66

Quality Score

67 vs 78

Hardware

parable-qwen3-4b-c… mistralai/magistra…

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… mistralai/magistra…

Tokens/sec4.37.9

First chunk13 ms1356 ms

TTFT1.9 s1.4 s

Load timeN/AN/A

Memory usage3.0 GB13.2 GB

Memory %19%41%

HW Fit Score Breakdown

parable-qwen3-4b-claude…

Speed

16/50

TTFT

20/20

Memory

30/30

mistralai/magistral-sma…

Speed

16/50

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

View parable-qwen3-4b-c… details | View mistralai/magistra… 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