Back to leaderboard

qwen2.5-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 8bit

Good

Mar 4, 2026 · Apple M4

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
69 vs 71
Hardware Fit
100 vs 86
Quality Score
56 vs 65

Hardware

qwen2.5-1.5b-instr… mistral-nemo:12b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen2.5-1.5b-instr… mistral-nemo:12b
Tokens/sec58.114.6
First chunk211 msN/A
TTFT211 ms371 ms
Load timeN/A1.0 s
Memory usage1.5 GB13.3 GB
Memory %5%42%

HW Fit Score Breakdown

qwen2.5-1.5b-instruct

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

mistral-nemo:12b

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

Quality

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
10/20
Instruction
10/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

mistral-nemo:12b

Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5-1.5b-instr… details | View mistral-nemo:12b 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