Back to leaderboard

mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
71 vs 68
Hardware Fit
86 vs 100
Quality Score
65 vs 54

Hardware

mistral-nemo:12b qwen2.5-coder:1.5b
MachineMacBook AirLENOVO 20U30029MB
CPUApple M4Intel Core™ i5-10210U
Cores108
RAM32 GB15 GB
GPUApple M4CometLake-U GT2 [UHD Graphics]
OSmacOS 26.3Pop 24.04 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

mistral-nemo:12b qwen2.5-coder:1.5b
Tokens/sec14.621.8
First chunkN/A499 ms
TTFT371 ms499 ms
Load time1.0 s4.4 s
Memory usage13.3 GB1.5 GB
Memory %42%10%

HW Fit Score Breakdown

mistral-nemo:12b

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

qwen2.5-coder:1.5b

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

Quality

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

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong
View mistral-nemo:12b details | View qwen2.5-coder:1.5b 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