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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

deepseek-r1:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

Global Score
65 vs 47
Hardware Fit
99 vs 51
Quality Score
51 vs 45

Hardware

smollm2-1.7b-instr… deepseek-r1:70b
MachineMacBook AirNVIDIA NVIDIA_DGX_Spark
CPUApple M4Cortex-X925
Cores1020
RAM32 GB122 GB
GPUApple M4Device 2e12
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

smollm2-1.7b-instr… deepseek-r1:70b
Tokens/sec28.54.7
First chunk393 ms557 ms
TTFT393 ms557 ms
Load timeN/A52.6 s
Memory usage3.2 GB49.5 GB
Memory %10%41%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

deepseek-r1:70b

Speed
4/50
TTFT
20/20
Memory
27/30

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

deepseek-r1:70b

Reasoning
3/20
Coding
1/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
10/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
View smollm2-1.7b-instr… details | View deepseek-r1:70b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest