smollm2-1.7b-instruct
LM-STUDIO MLXllama · 1.7B · bf16
Mar 4, 2026 · Apple M4
qwen3-next-80b-t48:latest
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Jul 31, 2026 · Intel Xeon® E5-4620 0
Global Score
65 vs 70
Hardware Fit
99 vs 39
Quality Score
51 vs 83
Hardware
smollm2-1.7b-instr… qwen3-next-80b-t48…
MachineMacBook AirDell Inc. PowerEdge R820
CPUApple M4Intel Xeon® E5-4620 0
Cores1064
RAM32 GB256 GB
GPUApple M4Microsoft Remote Display Adapter, Microsoft Basic Display Adapter
OSmacOS 26.3Microsoft Windows Server 2022 Datacenter 10.0.20348
Archarm64x64
Power Modebalancedbalanced
Performance
smollm2-1.7b-instr… qwen3-next-80b-t48…
Tokens/sec28.53.0
First chunk393 ms3265 ms
TTFT393 ms3.3 s
Load timeN/A82.1 s
Memory usage3.2 GB46.9 GB
Memory %10%18%
HW Fit Score Breakdown
smollm2-1.7b-instruct
Speed
50/50
TTFT
20/20
Memory
29/30
qwen3-next-80b-t48:latest
Speed
3/50
TTFT
6/20
Memory
30/30
Quality
smollm2-1.7b-instruct
Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
qwen3-next-80b-t48:latest
Reasoning
18/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak 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