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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

qwen3-235b-a22b-t48-c8k:latest

OLLAMA GGUF

qwen3moe · 235.1B · Q4_K_M

Not Rec.

Sep 7, 2026 · Intel Xeon® E5-4650 v2

Global Score
65 vs 65
Hardware Fit
99 vs 29
Quality Score
51 vs 81

Hardware

smollm2-1.7b-instr… qwen3-235b-a22b-t4…
MachineMacBook AirDell Inc. PowerEdge R820
CPUApple M4Intel Xeon® E5-4650 v2
Cores1080
RAM32 GB256 GB
GPUApple M4Microsoft Remote Display Adapter, NVIDIA Tesla P4, NVIDIA Tesla P4, Microsoft Basic Display Adapter
OSmacOS 26.3Microsoft Windows Server 2022 Datacenter 10.0.20348
Archarm64x64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… qwen3-235b-a22b-t4…
Tokens/sec28.52.4
First chunk393 ms5833 ms
TTFT393 ms5.8 s
Load timeN/A0.0 s
Memory usage3.2 GB135.1 GB
Memory %10%53%

HW Fit Score Breakdown

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

qwen3-235b-a22b-t48-c8k…

Speed
2/50
TTFT
3/20
Memory
24/30

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

qwen3-235b-a22b-t48-c8k…

Reasoning
19/20
Coding
15/20
Instruction
10/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong 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