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meta-llama-3.1-8b-instruct

llama · 8B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3.5:27b

qwen35 · 27.8B · Q4_K_M

Good

Mar 3, 2026 · Apple M4

Global Score
76 vs 75
Hardware Fit
95 vs 67
Quality Score
68 vs 79

Hardware

meta-llama-3.1-8b-… qwen3.5:27b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

meta-llama-3.1-8b-… qwen3.5:27b
Tokens/sec21.64.4
TTFT512 ms1.1 s
Load time0.0 s13.2 s
Memory usage0.0 GB22.7 GB
Memory %0%71%

HW Fit Score Breakdown

meta-llama-3.1-8b-instr…

Speed
35/40
TTFT
30/30
Memory
30/30

qwen3.5:27b

Speed
7/40
TTFT
30/30
Memory
30/30

Quality

meta-llama-3.1-8b-instr…

Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.5:27b

Reasoning
16/20
Coding
17/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running