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yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

qwen3-vl-4b-instruct

LM-STUDIO GGUF

qwen3vl · 4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
45 vs 87
Hardware Fit
67 vs 100
Quality Score
35 vs 81

Hardware

yi-coder-1.5b-chat qwen3-vl-4b-instruct
MachineLENOVO 20BUS00700Mac Studio
CPUIntel Core™ i5-5300UApple M2 Max
Cores412
RAM16 GB96 GB
GPUIntel(R) HD Graphics 5500Apple M2 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat qwen3-vl-4b-instruct
Tokens/sec7.771.2
First chunk2668 ms10 ms
TTFT2.7 s183 ms
Load timeN/A6.0 s
Memory usage0.9 GB0.3 GB
Memory %6%0%

HW Fit Score Breakdown

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

qwen3-vl-4b-instruct

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

Quality

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate

qwen3-vl-4b-instruct

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen3-vl-4b-instruct 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