Back to leaderboard

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

LM-STUDIO GGUF

nomic-bert · Q4_K_M

Marginal

Mar 3, 2026 · Apple M4

qwen3-vl-4b-instruct-q4_k_m.gguf

OPENAI GGUF
Good

Apr 21, 2026 · Apple M2 Max

Global Score
59 vs 62
Hardware Fit
94 vs 100
Quality Score
44 vs 46

Hardware

text-embedding-nom… qwen3-vl-4b-instru…
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

text-embedding-nom… qwen3-vl-4b-instru…
Tokens/sec45.367.8
First chunk2440 ms62 ms
TTFT2.4 s64 ms
Load timeN/A0.0 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

text-embedding-nomic-em…

Speed
40/50
TTFT
25/20
Memory
29/30

qwen3-vl-4b-instruct-q4…

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

Quality

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

qwen3-vl-4b-instruct-q4…

Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong

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