qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

text-embedding-nomic-embed-text-v1.5

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

Global Score

80 vs 59

Hardware Fit

63 vs 94

Quality Score

87 vs 44

Hardware

qwen3.8-27b-claude… text-embedding-nom…

MachineMacBook ProMacBook Air

CPUApple M4 MaxApple M4

Cores1610

RAM128 GB32 GB

GPUApple M4 MaxApple M4

OSmacOS 26.5.2macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

qwen3.8-27b-claude… text-embedding-nom…

Tokens/sec24.045.3

First chunk20 ms2440 ms

TTFT4.5 s2.4 s

Load timeN/AN/A

Memory usage15.7 GB0.0 GB

Memory %12%0%

HW Fit Score Breakdown

qwen3.8-27b-claude-opus…

Speed

27/50

TTFT

6/20

Memory

30/30

text-embedding-nomic-em…

Speed

40/50

TTFT

25/20

Memory

29/30

Quality

qwen3.8-27b-claude-opus…

Reasoning

19/20

Coding

18/20

Instruction

11/20

Structured

15/15

Math

14/15

Multilingual

10/10

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

text-embedding-nomic-em…

Reasoning

10/20

Coding

3/20

Instruction

11/20

Structured

12/15

Math

3/15

Multilingual

5/10

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

View qwen3.8-27b-claude… details | View text-embedding-nom… details

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$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest