Back to leaderboard

qwen2.5-coder:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Nov 13, 2026 · Intel Core™ i5-4590T

mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
59 vs 70
Hardware Fit
100 vs 94
Quality Score
41 vs 60

Hardware

qwen2.5-coder:0.5b mistral:7b
MachineFUJITSU ESPRIMO Q920MacBook Air
CPUIntel Core™ i5-4590TApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 4600, Microsoft Remote Display AdapterApple M4
OSMicrosoft Windows 10 Pro 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:0.5b mistral:7b
Tokens/sec43.722.5
First chunk290 ms252 ms
TTFT290 ms252 ms
Load time1.4 s0.7 s
Memory usage0.9 GB10.1 GB
Memory %6%32%

HW Fit Score Breakdown

qwen2.5-coder:0.5b

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

mistral:7b

Speed
44/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5-coder:0.5b

Reasoning
7/20
Coding
8/20
Instruction
10/20
Structured
10/15
Math
2/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

mistral:7b

Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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