Back to leaderboard

deepseek-r1:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 5, 2026 · Apple M1 Max

Global Score
47 vs 62
Hardware Fit
51 vs 100
Quality Score
45 vs 46

Hardware

deepseek-r1:70b qwen3.5:0.8b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M1 Max
Cores2010
RAM122 GB32 GB
GPUDevice 2e12Apple M1 Max
OSUbuntu 24.04.4 LTSmacOS 26.3
Archarm64arm64
Power Modeperformancebalanced

Performance

deepseek-r1:70b qwen3.5:0.8b
Tokens/sec4.765.8
First chunk557 ms230 ms
TTFT557 ms230 ms
Load time52.6 s1.5 s
Memory usage49.5 GB2.6 GB
Memory %41%8%

HW Fit Score Breakdown

deepseek-r1:70b

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

qwen3.5:0.8b

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

Quality

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

qwen3.5:0.8b

Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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