qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
gemma4:e4b-it-q8_0
OLLAMA GGUFgemma4 · 8.0B · Q8_0
Aug 26, 2026 · Apple M1 Pro
Global Score
69 vs 91
Hardware Fit
51 vs 88
Quality Score
76 vs 92
Hardware
qwen2-57b:57B gemma4:e4b-it-q8_0
MachineHP OMEN 35L VALORANT Limited Edition Gaming Desktop PCMacBook Pro
CPUIntel Core™ i7-14700FApple M1 Pro
Cores2810
RAM64 GB16 GB
GPUNVIDIA GeForce RTX 5080Apple M1 Pro
OSMicrosoft Windows 11 Enterprise 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2-57b:57B gemma4:e4b-it-q8_0
Tokens/sec7.730.0
First chunk940 ms311 ms
TTFT940 ms6.2 s
Load time0.2 s6.9 s
Memory usage33.3 GB5.0 GB
Memory %52%31%
HW Fit Score Breakdown
qwen2-57b:57B
Speed
8/50
TTFT
19/20
Memory
24/30
gemma4:e4b-it-q8_0
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen2-57b:57B
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
gemma4:e4b-it-q8_0
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest